From 61b94e47cbcc7aeeefddde9f41ad695c3230ffd1 Mon Sep 17 00:00:00 2001 From: tink2123 Date: Fri, 11 Dec 2020 17:50:01 +0800 Subject: [PATCH 01/20] polish doc --- README_ch.md | 7 +-- README_en.md | 12 ++-- configs/rec/rec_icdar15_train.yml | 97 ++++++++++++++++++++++++++++++ doc/doc_ch/recognition.md | 16 +++-- doc/doc_en/recognition_en.md | 9 +-- doc/joinus.PNG | Bin 16090 -> 418144 bytes ppocr/utils/ic15_dict.txt | 2 +- 7 files changed, 117 insertions(+), 26 deletions(-) create mode 100644 configs/rec/rec_icdar15_train.yml diff --git a/README_ch.md b/README_ch.md index b1f07e29..701d0194 100644 --- a/README_ch.md +++ b/README_ch.md @@ -54,11 +54,10 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库，助力 | 模型简介 | 模型名称 |推荐场景 | 检测模型 | 方向分类器 | 识别模型 | | ------------ | --------------- | ----------------|---- | ---------- | -------- | -| 中英文超轻量OCR模型（8.1M） | ch_ppocr_mobile_v1.1_xx |移动端&服务器端|[推理模型](link) / [预训练模型](link)|[推理模型](link) / [预训练模型](link) |[推理模型](link) / [预训练模型](link) | -| 中英文通用OCR模型（155.1M） |ch_ppocr_server_v1.1_xx|服务器端 |[推理模型](link) / [预训练模型](link) |[推理模型](link) / [预训练模型](link) |[推理模型](link) / [预训练模型](link) | -| 中英文超轻量压缩OCR模型（3.5M） | ch_ppocr_mobile_slim_v1.1_xx| 移动端 |[推理模型](link) / [slim模型](link) |[推理模型](link) / [slim模型](link)| [推理模型](link) / [slim模型](link)| +| 中英文超轻量OCR模型（8.1M） | ch_ppocr_mobile_v2.0_xx |移动端&服务器端|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[推理模型](link) / [预训练模型](link) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +| 中英文通用OCR模型（155.1M） |ch_ppocr_server_v2.0_xx|服务器端 |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[推理模型](link) / [预训练模型](link) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | -更多模型下载（包括多语言），可以参考[PP-OCR v1.1 系列模型下载](./doc/doc_ch/models_list.md) +更多模型下载（包括多语言），可以参考[PP-OCR v2.0 系列模型下载](./doc/doc_ch/models_list.md) ## 文档教程 - [快速安装](./doc/doc_ch/installation.md) diff --git a/README_en.md b/README_en.md index d74c97ae..05247950 100644 --- a/README_en.md +++ b/README_en.md @@ -62,15 +62,11 @@ Mobile DEMO experience (based on EasyEdge and Paddle-Lite, supports iOS and Andr | Model introduction | Model name | Recommended scene | Detection model | Direction classifier | Recognition model | | ------------------------------------------------------------ | ---------------------------- | ----------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | -| Chinese and English ultra-lightweight OCR model (8.1M) | ch_ppocr_mobile_v1.1_xx | Mobile & server | [inference model](link) / [pre-trained model](link) | [inference model](link) / [pre-trained model](link) | [inference model](link) / [pre-trained model](link) | -| Chinese and English general OCR model (155.1M) | ch_ppocr_server_v1.1_xx | Server | [inference model](link) / [pre-trained model](link) | [inference model](link) / [pre-trained model](link) | [inference model](link) / [pre-trained model](link) | -| Chinese and English ultra-lightweight compressed OCR model (3.5M) | ch_ppocr_mobile_slim_v1.1_xx | Mobile | [inference model](link) / [slim model](link) | [inference model](link) / [slim model](link) | [inference model](link) / [slim model](link) | -| French ultra-lightweight OCR model (4.6M) | french_ppocr_mobile_v1.1_xx | Mobile & server | [inference model](link) / [pre-trained model](link) | - | [inference model](link) / [pre-trained model](link) | -| German ultra-lightweight OCR model (4.6M) | german_ppocr_mobile_v1.1_xx | Mobile & server | [inference model](link) / [pre-trained model](link) | - |[inference model](link) / [pre-trained model](link) | -| Korean ultra-lightweight OCR model (5.9M) | korean_ppocr_mobile_v1.1_xx | Mobile & server | [inference model](link) / [pre-trained model](link) | - |[inference model](link) / [pre-trained model](link)| -| Japan ultra-lightweight OCR model (6.2M) | japan_ppocr_mobile_v1.1_xx | Mobile & server | [inference model](link) / [pre-trained model](link) | - |[inference model](link) / [pre-trained model](link) | +| Chinese and English ultra-lightweight OCR model (8.1M) | ch_ppocr_mobile_v2.0_xx | Mobile & server |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](link) / [pre-trained model](link) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +| Chinese and English general OCR model (155.1M) | ch_ppocr_server_v2.0_xx | Server |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[inference model](link) / [pre-trained model](link) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | -For more model downloads (including multiple languages), please refer to [PP-OCR v1.1 series model downloads](./doc/doc_en/models_list_en.md). + +For more model downloads (including multiple languages), please refer to [PP-OCR v2.0 series model downloads](./doc/doc_en/models_list_en.md). For a new language request, please refer to [Guideline for new language_requests](#language_requests). diff --git a/configs/rec/rec_icdar15_train.yml b/configs/rec/rec_icdar15_train.yml new file mode 100644 index 00000000..7efbd5cf --- /dev/null +++ b/configs/rec/rec_icdar15_train.yml @@ -0,0 +1,97 @@ +Global: + use_gpu: true + epoch_num: 72 + log_smooth_window: 20 + print_batch_step: 10 + save_model_dir: ./output/rec/ic15/ + save_epoch_step: 3 + # evaluation is run every 2000 iterations + eval_batch_step: [0, 2000] + # if pretrained_model is saved in static mode, load_static_weights must set to True + cal_metric_during_train: True + pretrained_model: + checkpoints: + save_inference_dir: + use_visualdl: False + infer_img: doc/imgs_words_en/word_10.png + # for data or label process + character_dict_path: ppocr/utils/ic15_dict.txt + character_type: ch + max_text_length: 25 + infer_mode: False + use_space_char: False + +Optimizer: + name: Adam + beta1: 0.9 + beta2: 0.999 + lr: + learning_rate: 0.0005 + regularizer: + name: 'L2' + factor: 0 + +Architecture: + model_type: rec + algorithm: CRNN + Transform: + Backbone: + name: ResNet + layers: 34 + Neck: + name: SequenceEncoder + encoder_type: rnn + hidden_size: 256 + Head: + name: CTCHead + fc_decay: 0 + +Loss: + name: CTCLoss + +PostProcess: + name: CTCLabelDecode + +Metric: + name: RecMetric + main_indicator: acc + +Train: + dataset: + name: SimpleDataSet + data_dir: ./train_data/ + label_file_list: ["./train_data/train_list.txt"] + transforms: + - DecodeImage: # load image + img_mode: BGR + channel_first: False + - CTCLabelEncode: # Class handling label + - RecResizeImg: + image_shape: [3, 32, 100] + - KeepKeys: + keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order + loader: + shuffle: True + batch_size_per_card: 256 + drop_last: True + num_workers: 8 + +Eval: + dataset: + name: SimpleDataSet + data_dir: ./train_data/ + label_file_list: ["./train_data/train_list.txt"] + transforms: + - DecodeImage: # load image + img_mode: BGR + channel_first: False + - CTCLabelEncode: # Class handling label + - RecResizeImg: + image_shape: [3, 32, 100] + - KeepKeys: + keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order + loader: + shuffle: False + drop_last: False + batch_size_per_card: 256 + num_workers: 4 diff --git a/doc/doc_ch/recognition.md b/doc/doc_ch/recognition.md index 91b1af78..9dda9ded 100644 --- a/doc/doc_ch/recognition.md +++ b/doc/doc_ch/recognition.md @@ -37,8 +37,6 @@ ln -sf /train_data/dataset 若您本地没有数据集，可以在官网下载 [icdar2015](http://rrc.cvc.uab.es/?ch=4&com=downloads) 数据，用于快速验证。也可以参考[DTRB](https://github.com/clovaai/deep-text-recognition-benchmark#download-lmdb-dataset-for-traininig-and-evaluation-from-here)，下载 benchmark 所需的lmdb格式数据集。 -如果希望复现SRN的论文指标，需要下载离线[增广数据](https://pan.baidu.com/s/1-HSZ-ZVdqBF2HaBZ5pRAKA),提取码: y3ry。增广数据是由MJSynth和SynthText做旋转和扰动得到的。数据下载完成后请解压到 {your_path}/PaddleOCR/train_data/data_lmdb_release/training/ 路径下。 - * 使用自己数据集 @@ -65,7 +63,7 @@ wget -P ./train_data/ic15_data https://paddleocr.bj.bcebos.com/dataset/rec_gt_t wget -P ./train_data/ic15_data https://paddleocr.bj.bcebos.com/dataset/rec_gt_test.txt ``` -PaddleOCR 也提供了数据格式转换脚本，可以将官网 label 转换支持的数据格式。 数据转换工具在 `train_data/gen_label.py`, 这里以训练集为例： +PaddleOCR 也提供了数据格式转换脚本，可以将官网 label 转换支持的数据格式。 数据转换工具在 `ppocr/utils/gen_label.py`, 这里以训练集为例： ``` # 将官网下载的标签文件转换为 rec_gt_label.txt @@ -116,9 +114,9 @@ n word_dict.txt 每行有一个单字，将字符与数字索引映射在一起，“and” 将被映射成 [2 5 1] -`ppocr/utils/ppocr_keys_v1.txt` 是一个包含6623个字符的中文字典， +`ppocr/utils/ppocr_keys_v1.txt` 是一个包含6623个字符的中文字典 -`ppocr/utils/ic15_dict.txt` 是一个包含36个字符的英文字典， +`ppocr/utils/ic15_dict.txt` 是一个包含36个字符的英文字典 `ppocr/utils/dict/french_dict.txt` 是一个包含118个字符的法文字典 @@ -128,6 +126,8 @@ word_dict.txt 每行有一个单字，将字符与数字索引映射在一起， `ppocr/utils/dict/german_dict.txt` 是一个包含131个字符的法文字典 +`ppocr/utils/dict/en_dict.txt` 是一个包含63个字符的英文字典 + 您可以按需使用。 @@ -155,10 +155,10 @@ PaddleOCR提供了训练脚本、评估脚本和预测脚本，本节将以 CRNN ``` cd PaddleOCR/ # 下载MobileNetV3的预训练模型 -wget -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/rec_mv3_none_bilstm_ctc.tar +wget -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_infer.tar # 解压模型参数 cd pretrain_models -tar -xf rec_mv3_none_bilstm_ctc.tar && rm -rf rec_mv3_none_bilstm_ctc.tar +tar -xf rec_mv3_none_bilstm_ctc_v2.0_infer.tar && rm -rf rec_mv3_none_bilstm_ctc_v2.0_infer.tar ``` 开始训练: @@ -204,9 +204,7 @@ PaddleOCR支持训练和评估交替进行, 可以在 `configs/rec/rec_icdar15_t | rec_mv3_tps_bilstm_attn.yml | RARE | Mobilenet_v3 large 0.5 | tps | BiLSTM | attention | | rec_r34_vd_none_bilstm_ctc.yml | CRNN | Resnet34_vd | None | BiLSTM | ctc | | rec_r34_vd_none_none_ctc.yml | Rosetta | Resnet34_vd | None | None | ctc | -| rec_r34_vd_tps_bilstm_attn.yml | RARE | Resnet34_vd | tps | BiLSTM | attention | | rec_r34_vd_tps_bilstm_ctc.yml | STARNet | Resnet34_vd | tps | BiLSTM | ctc | -| rec_r50fpn_vd_none_srn.yml | SRN | Resnet50_fpn_vd | None | rnn | srn | 训练中文数据，推荐使用[rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)，如您希望尝试其他算法在中文数据集上的效果，请参考下列说明修改配置文件： diff --git a/doc/doc_en/recognition_en.md b/doc/doc_en/recognition_en.md index f9849321..14c3da73 100644 --- a/doc/doc_en/recognition_en.md +++ b/doc/doc_en/recognition_en.md @@ -114,11 +114,13 @@ In `word_dict.txt`, there is a single word in each line, which maps characters a `ppocr/utils/dict/french_dict.txt` is a French dictionary with 118 characters -`ppocr/utils/dict/japan_dict.txt` is a French dictionary with 4399 characters +`ppocr/utils/dict/japan_dict.txt` is a Japan dictionary with 4399 characters -`ppocr/utils/dict/korean_dict.txt` is a French dictionary with 3636 characters +`ppocr/utils/dict/korean_dict.txt` is a Korean dictionary with 3636 characters -`ppocr/utils/dict/german_dict.txt` is a French dictionary with 131 characters +`ppocr/utils/dict/german_dict.txt` is a German dictionary with 131 characters + +`ppocr/utils/dict/en_dict.txt` is a English dictionary with 63 characters You can use it on demand. @@ -194,7 +196,6 @@ If the evaluation set is large, the test will be time-consuming. 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z+GU$}_7&B8yoB3r`wdps?75}vZhgRqgXSuQn+HB18Y>Vs&T{TrJtO1*3FLT*{-Qn(5)!8lhz{92 z#%1PXbdQc~of(^>&_J_bgHIO$^BDaFel!FHNEbXx78R&_9GoeO@r0W};nqv&UWYix zT;)5Xy_q%|8JW@h0gBKZdGv6^<4`YD>Mn9g`1xGi1Yl5MpNZ$jm z0MgG6`j2^X3i@C=L)M}(zo2@K_5Aae{@3`={j)!HDmA%zpCDvYCS%9~|I`PBd!6HSXKf*3Me{I-1Z2wfgjpXLxi^ z_FMW-2ixE4ruzgM_~Q|6JgX%7*I?J16>+Dq2=5#1%DlV9>~3ZDDgI*@moYZoCFJF= zr&nO?Um%yTmz(lZXy4GydAnKFV6#|C@4vKO*}up3u1tPiADky$-R9Rl=z@3F!IP|7Ko9hmBllYeIgFFvynZ@F`yu_;rFH)T zN(Z)B_pP?GnLcL8ezt z;FSsR^#fxNZew#*A^j>xZw2tWhgk18LuVdCaBk^te>&(#7k~B(k^#L5?R`l9@U5rk zq(v9JvMc=TFm;(c^&eF!W)QvV|KGR3qrSZQzi) Date: Fri, 11 Dec 2020 22:06:42 +0800 Subject: [PATCH 02/20] update link --- doc/doc_ch/whl.md | 2 +- paddleocr.py | 123 ++++++++++++++++++++++++---------------------- 2 files changed, 66 insertions(+), 59 deletions(-) diff --git a/doc/doc_ch/whl.md b/doc/doc_ch/whl.md index c51f3277..587b443b 100644 --- a/doc/doc_ch/whl.md +++ b/doc/doc_ch/whl.md @@ -348,7 +348,7 @@ im_show.save('result.jpg') | cls_batch_num | 进行分类时，同时前向的图片数 |30 | | enable_mkldnn | 是否启用mkldnn | FALSE | | use_zero_copy_run | 是否通过zero_copy_run的方式进行前向 | FALSE | -| lang | 模型语言类型,目前支持 中文(ch)和英文(en) | ch | +| lang | 模型语言类型,目前支持 目前支持中英文(ch)、英文(en)、法语(french)、德语(german)、韩语(korean)、日语(japan) | ch | | det | 前向时使用启动检测 | TRUE | | rec | 前向时是否启动识别 | TRUE | | cls | 前向时是否启动分类 (命令行模式下使用use_angle_cls控制前向是否启动分类) | FALSE | diff --git a/paddleocr.py b/paddleocr.py index 17306e79..1d8cd254 100644 --- a/paddleocr.py +++ b/paddleocr.py @@ -35,44 +35,45 @@ __all__ = ['PaddleOCR'] model_urls = { 'det': - 'https://paddleocr.bj.bcebos.com/20-09-22/mobile/det/ch_ppocr_mobile_v1.1_det_infer.tar', + 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar', 'rec': { 'ch': { 'url': - 'https://paddleocr.bj.bcebos.com/20-09-22/mobile/rec/ch_ppocr_mobile_v1.1_rec_infer.tar', + 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar', 'dict_path': './ppocr/utils/ppocr_keys_v1.txt' }, 'en': { 'url': - 'https://paddleocr.bj.bcebos.com/20-09-22/mobile/en/en_ppocr_mobile_v1.1_rec_infer.tar', - 'dict_path': './ppocr/utils/ic15_dict.txt' + 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_infer.tar', + 'dict_path': './ppocr/utils/dict/en_dict.txt' }, 'french': { 'url': - 'https://paddleocr.bj.bcebos.com/20-09-22/mobile/fr/french_ppocr_mobile_v1.1_rec_infer.tar', + 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/french_mobile_v2.0_rec_infer.tar', 'dict_path': './ppocr/utils/dict/french_dict.txt' }, 'german': { 'url': - 'https://paddleocr.bj.bcebos.com/20-09-22/mobile/ge/german_ppocr_mobile_v1.1_rec_infer.tar', + 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_infer.tar', 'dict_path': './ppocr/utils/dict/german_dict.txt' }, 'korean': { 'url': - 'https://paddleocr.bj.bcebos.com/20-09-22/mobile/kr/korean_ppocr_mobile_v1.1_rec_infer.tar', + 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_infer.tar', 'dict_path': './ppocr/utils/dict/korean_dict.txt' }, 'japan': { 'url': - 'https://paddleocr.bj.bcebos.com/20-09-22/mobile/jp/japan_ppocr_mobile_v1.1_rec_infer.tar', + 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_infer.tar', 'dict_path': './ppocr/utils/dict/japan_dict.txt' } }, 'cls': - 'https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_infer.tar' + 'https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar' } SUPPORT_DET_MODEL = ['DB'] +VERSION = 2.0 SUPPORT_REC_MODEL = ['CRNN'] BASE_DIR = os.path.expanduser("~/.paddleocr/") @@ -94,20 +95,24 @@ def download_with_progressbar(url, save_path): def maybe_download(model_storage_directory, url): # using custom model - if not os.path.exists(os.path.join( - model_storage_directory, 'model')) or not os.path.exists( - os.path.join(model_storage_directory, 'params')): + tar_file_name_list = [ + 'inference.pdiparams', 'inference.pdiparams.info', 'inference.pdmodel' + ] + if not os.path.exists( + os.path.join(model_storage_directory, 'inference.pdiparams') + ) or not os.path.exists( + os.path.join(model_storage_directory, 'inference.pdmodel')): tmp_path = os.path.join(model_storage_directory, url.split('/')[-1]) print('download {} to {}'.format(url, tmp_path)) os.makedirs(model_storage_directory, exist_ok=True) download_with_progressbar(url, tmp_path) with tarfile.open(tmp_path, 'r') as tarObj: for member in tarObj.getmembers(): - if "model" in member.name: - filename = 'model' - elif "params" in member.name: - filename = 'params' - else: + filename = None + for tar_file_name in tar_file_name_list: + if tar_file_name in member.name: + filename = tar_file_name + if filename is None: continue file = tarObj.extractfile(member) with open( @@ -176,43 +181,43 @@ def parse_args(mMain=True, add_help=True): parser.add_argument("--use_angle_cls", type=str2bool, default=False) return parser.parse_args() else: - return argparse.Namespace(use_gpu=True, - ir_optim=True, - use_tensorrt=False, - gpu_mem=8000, - image_dir='', - det_algorithm='DB', - det_model_dir=None, - det_limit_side_len=960, - det_limit_type='max', - det_db_thresh=0.3, - det_db_box_thresh=0.5, - det_db_unclip_ratio=2.0, - det_east_score_thresh=0.8, - det_east_cover_thresh=0.1, - det_east_nms_thresh=0.2, - rec_algorithm='CRNN', - rec_model_dir=None, - rec_image_shape="3, 32, 320", - rec_char_type='ch', - rec_batch_num=30, - max_text_length=25, - rec_char_dict_path=None, - use_space_char=True, - drop_score=0.5, - cls_model_dir=None, - cls_image_shape="3, 48, 192", - label_list=['0', '180'], - cls_batch_num=30, - cls_thresh=0.9, - enable_mkldnn=False, - use_zero_copy_run=False, - use_pdserving=False, - lang='ch', - det=True, - rec=True, - use_angle_cls=False - ) + return argparse.Namespace( + use_gpu=True, + ir_optim=True, + use_tensorrt=False, + gpu_mem=8000, + image_dir='', + det_algorithm='DB', + det_model_dir=None, + det_limit_side_len=960, + det_limit_type='max', + det_db_thresh=0.3, + det_db_box_thresh=0.5, + det_db_unclip_ratio=2.0, + det_east_score_thresh=0.8, + det_east_cover_thresh=0.1, + det_east_nms_thresh=0.2, + rec_algorithm='CRNN', + rec_model_dir=None, + rec_image_shape="3, 32, 320", + rec_char_type='ch', + rec_batch_num=30, + max_text_length=25, + rec_char_dict_path=None, + use_space_char=True, + drop_score=0.5, + cls_model_dir=None, + cls_image_shape="3, 48, 192", + label_list=['0', '180'], + cls_batch_num=30, + cls_thresh=0.9, + enable_mkldnn=False, + use_zero_copy_run=False, + use_pdserving=False, + lang='ch', + det=True, + rec=True, + use_angle_cls=False) class PaddleOCR(predict_system.TextSystem): @@ -228,19 +233,21 @@ class PaddleOCR(predict_system.TextSystem): lang = postprocess_params.lang assert lang in model_urls[ 'rec'], 'param lang must in {}, but got {}'.format( - model_urls['rec'].keys(), lang) + model_urls['rec'].keys(), lang) if postprocess_params.rec_char_dict_path is None: postprocess_params.rec_char_dict_path = model_urls['rec'][lang][ 'dict_path'] # init model dir if postprocess_params.det_model_dir is None: - postprocess_params.det_model_dir = os.path.join(BASE_DIR, 'det') + postprocess_params.det_model_dir = os.path.join( + BASE_DIR, '{}/det'.format(VERSION)) if postprocess_params.rec_model_dir is None: postprocess_params.rec_model_dir = os.path.join( - BASE_DIR, 'rec/{}'.format(lang)) + BASE_DIR, '{}/rec/{}'.format(VERSION, lang)) if postprocess_params.cls_model_dir is None: - postprocess_params.cls_model_dir = os.path.join(BASE_DIR, 'cls') + postprocess_params.cls_model_dir = os.path.join( + BASE_DIR, '{}/cls'.format(VERSION)) print(postprocess_params) # download model maybe_download(postprocess_params.det_model_dir, model_urls['det']) From 49c32f44f9bd5683be46cf82e66fe213c36412df Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Fri, 11 Dec 2020 22:20:26 +0800 Subject: [PATCH 03/20] change v1.1 to v2.0 --- doc/doc_ch/config.md | 6 +++--- doc/doc_en/config_en.md | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/doc/doc_ch/config.md b/doc/doc_ch/config.md index 2cc502ca..b185929e 100644 --- a/doc/doc_ch/config.md +++ b/doc/doc_ch/config.md @@ -10,8 +10,8 @@ ## 配置文件参数介绍 -以 `rec_chinese_lite_train_v1.1.yml ` 为例 -### Global +以 `rec_chinese_lite_train_v2.0.yml ` 为例 +### Global | 字段 | 用途 | 默认值 | 备注 | | :----------------------: | :---------------------: | :--------------: | :--------------------: | @@ -119,4 +119,4 @@ | shuffle | 每个epoch是否将数据集顺序打乱 | True | \ | | batch_size_per_card | 训练时单卡batch size | 256 | \ | | drop_last | 是否丢弃因数据集样本数不能被 batch_size 整除而产生的最后一个不完整的mini-batch | True | \ | -| num_workers | 用于加载数据的子进程个数，若为0即为不开启子进程，在主进程中进行数据加载 | 8 | \ | \ No newline at end of file +| num_workers | 用于加载数据的子进程个数，若为0即为不开启子进程，在主进程中进行数据加载 | 8 | \ | diff --git a/doc/doc_en/config_en.md b/doc/doc_en/config_en.md index 574bb41b..6f54ce24 100644 --- a/doc/doc_en/config_en.md +++ b/doc/doc_en/config_en.md @@ -9,8 +9,8 @@ The following list can be viewed through `--help` ## INTRODUCTION TO GLOBAL PARAMETERS OF CONFIGURATION FILE -Take rec_chinese_lite_train_v1.1.yml as an example -### Global +Take rec_chinese_lite_train_v2.0.yml as an example +### Global | Parameter | Use | Defaults | Note | | :----------------------: | :---------------------: | :--------------: | :--------------------: | @@ -118,4 +118,4 @@ In ppocr, the network is divided into four stages: Transform, Backbone, Neck and | shuffle | Does each epoch disrupt the order of the data set | True | \ | | batch_size_per_card | Single card batch size during training | 256 | \ | | drop_last | Whether to discard the last incomplete mini-batch because the number of samples in the data set cannot be divisible by batch_size | True | \ | -| num_workers | The number of sub-processes used to load data, if it is 0, the sub-process is not started, and the data is loaded in the main process | 8 | \ | \ No newline at end of file +| num_workers | The number of sub-processes used to load data, if it is 0, the sub-process is not started, and the data is loaded in the main process | 8 | \ | From f4dd2ee65cfc081b819a9d71440594cc1cf17c39 Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Fri, 11 Dec 2020 23:06:31 +0800 Subject: [PATCH 04/20] update pre-train model of rec --- doc/doc_ch/quickstart.md | 4 ++-- doc/doc_en/quickstart_en.md | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/doc_ch/quickstart.md b/doc/doc_ch/quickstart.md index e3d854eb..2fb97d82 100644 --- a/doc/doc_ch/quickstart.md +++ b/doc/doc_ch/quickstart.md @@ -13,8 +13,8 @@ | 模型简介 | 模型名称 |推荐场景 | 检测模型 | 方向分类器 | 识别模型 | | ------------ | --------------- | ----------------|---- | ---------- | -------- | -| 中英文超轻量OCR模型（8.1M） | ch_ppocr_mobile_v2.0_xx |移动端&服务器端|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar) | -| 中英文通用OCR模型（155.1M） | ch_ppocr_server_v2.0_xx |服务器端 |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) | +| 中英文超轻量OCR模型（8.1M） | ch_ppocr_mobile_v2.0_xx |移动端&服务器端|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +| 中英文通用OCR模型（155.1M） | ch_ppocr_server_v2.0_xx |服务器端 |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | * windows 环境下如果没有安装wget,下载模型时可将链接复制到浏览器中下载，并解压放置在相应目录下 diff --git a/doc/doc_en/quickstart_en.md b/doc/doc_en/quickstart_en.md index 6b3f2db0..6d7f6f8d 100644 --- a/doc/doc_en/quickstart_en.md +++ b/doc/doc_en/quickstart_en.md @@ -13,8 +13,8 @@ The detection and recognition models on the mobile and server sides are as follo | Model introduction | Model name | Recommended scene | Detection model | Direction Classifier | Recognition model | | ------------ | --------------- | ----------------|---- | ---------- | -------- | -| Ultra-lightweight Chinese OCR model（8.1M） | ch_ppocr_mobile_v2.0_xx |Mobile-side/Server-side|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar) | -| Universal Chinese OCR model（155.1M） | ch_ppocr_server_v2.0_xx |Server-side |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) | +| Ultra-lightweight Chinese OCR model（8.1M） | ch_ppocr_mobile_v2.0_xx |Mobile-side/Server-side|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +| Universal Chinese OCR model（155.1M） | ch_ppocr_server_v2.0_xx |Server-side |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | * If `wget` is not installed in the windows environment, you can copy the link to the browser to download when downloading the model, then uncompress it and place it in the corresponding directory. From 03d585324004bc1bed80837513e5dd22967d29f9 Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 10:53:49 +0800 Subject: [PATCH 05/20] update model_list doc --- doc/doc_ch/models_list.md | 63 +++++++++++++++++++---------------- doc/doc_en/models_list_en.md | 64 +++++++++++++++++++----------------- 2 files changed, 69 insertions(+), 58 deletions(-) diff --git a/doc/doc_ch/models_list.md b/doc/doc_ch/models_list.md index c85def4e..f44e304f 100644 --- a/doc/doc_ch/models_list.md +++ b/doc/doc_ch/models_list.md @@ -1,4 +1,4 @@ -## OCR模型列表（V1.1，9月22日更新） +## OCR模型列表（V2.0，2020年12月11日更新） - [一、文本检测模型](#文本检测模型) - [二、文本识别模型](#文本识别模型) @@ -10,19 +10,20 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训练模型`、`slim模型`，模型区别说明如下： |模型类型|模型格式|简介| -|-|-|-| -|推理模型|model、params|用于python预测引擎推理，[详情](./inference.md)| -|训练模型、预训练模型|\*.pdmodel、\*.pdopt、\*.pdparams|训练过程中保存的checkpoints模型，保存的是模型的参数，多用于模型指标评估和恢复训练| +|--- | --- | --- | +|推理模型|inference.pdmodel、inference.pdiparams|用于python预测引擎推理，[详情](./inference.md)| +|训练模型、预训练模型|\*.pdparams、\*.pdopt、\*.states |训练过程中保存的模型的参数、优化器状态和训练中间信息，多用于模型指标评估和恢复训练| |slim模型|\*.nb|用于lite部署| ### 一、文本检测模型 + |模型名称|模型简介|配置文件|推理模型大小|下载地址| -|-|-|-|-|-| -|ch_ppocr_mobile_slim_v1.1_det|slim裁剪版超轻量模型，支持中英文、多语种文本检测|[det_mv3_db_v1.1.yml](../../configs/det/det_mv3_db_v1.1.yml)|1.4M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/det/ch_ppocr_mobile_v1.1_det_prune_infer.tar) / [slim模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/lite/ch_ppocr_mobile_v1.1_det_prune_opt.nb)| -|ch_ppocr_mobile_v1.1_det|原始超轻量模型，支持中英文、多语种文本检测|[det_mv3_db_v1.1.yml](../../configs/det/det_mv3_db_v1.1.yml)|2.6M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/det/ch_ppocr_mobile_v1.1_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/det/ch_ppocr_mobile_v1.1_det_train.tar)| -|ch_ppocr_server_v1.1_det|通用模型，支持中英文、多语种文本检测，比超轻量模型更大，但效果更好|[det_r18_vd_db_v1.1.yml](../../configs/det/det_r18_vd_db_v1.1.yml)|47.2M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/server/det/ch_ppocr_server_v1.1_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/server/det/ch_ppocr_server_v1.1_det_train.tar)| +| --- | --- | --- | --- | --- | +|ch_ppocr_mobile_slim_v2.0_det|slim裁剪版超轻量模型，支持中英文、多语种文本检测|[ch_det_mv3_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml)| |[推理模型 (coming soon)](link) / [slim模型 (coming soon)](link)| +|ch_ppocr_mobile_v2.0_det|原始超轻量模型，支持中英文、多语种文本检测|[ch_det_mv3_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml)|3M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)| +|ch_ppocr_server_v2.0_det|通用模型，支持中英文、多语种文本检测，比超轻量模型更大，但效果更好|[ch_det_res18_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml)|47M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar)| @@ -30,42 +31,48 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 #### 1. 中文识别模型 + |模型名称|模型简介|配置文件|推理模型大小|下载地址| -|-|-|-|-|-| -|ch_ppocr_mobile_slim_v1.1_rec|slim裁剪量化版超轻量模型，支持中英文、数字识别|[rec_chinese_lite_train_v1.1.yml](../../configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml)|1.6M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/rec/ch_ppocr_mobile_v1.1_rec_quant_infer.tar) / [slim模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/lite/ch_ppocr_mobile_v1.1_rec_quant_opt.nb) | -|ch_ppocr_mobile_v1.1_rec|原始超轻量模型，支持中英文、数字识别|[rec_chinese_lite_train_v1.1.yml](../../configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml)|4.6M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/rec/ch_ppocr_mobile_v1.1_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/rec/ch_ppocr_mobile_v1.1_rec_train.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/rec/ch_ppocr_mobile_v1.1_rec_pre.tar) | -|ch_ppocr_server_v1.1_rec|通用模型，支持中英文、数字识别|[rec_chinese_common_train_v1.1.yml](../../configs/rec/ch_ppocr_v1.1/rec_chinese_common_train_v1.1.yml)|105M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/server/rec/ch_ppocr_server_v1.1_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/server/rec/ch_ppocr_server_v1.1_rec_train.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/20-09-22/server/rec/ch_ppocr_server_v1.1_rec_pre.tar) | +| --- | --- | --- | --- | --- | +|ch_ppocr_mobile_slim_v2.0_rec|slim裁剪量化版超轻量模型，支持中英文、数字识别|[rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)| |[推理模型 (coming soon)](link) / [slim模型 (coming soon)](link) | +|ch_ppocr_mobile_v2.0_rec|原始超轻量模型，支持中英文、数字识别|[rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)|3.71M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +|ch_ppocr_server_v2.0_rec|通用模型，支持中英文、数字识别|[rec_chinese_common_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_common_train_v2.0.yml)|94.8M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | **说明：** `训练模型`是基于预训练模型在真实数据与竖排合成文本数据上finetune得到的模型，在真实应用场景中有着更好的表现，`预训练模型`则是直接基于全量真实数据与合成数据训练得到，更适合用于在自己的数据集上finetune。 #### 2. 英文识别模型 + |模型名称|模型简介|配置文件|推理模型大小|下载地址| -|-|-|-|-|-| -|en_ppocr_mobile_slim_v1.1_rec|slim裁剪量化版超轻量模型，支持英文、数字识别|[rec_en_lite_train.yml](../../configs/rec/multi_languages/rec_en_lite_train.yml)|0.9M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/en/en_ppocr_mobile_v1.1_rec_quant_infer.tar) / [slim模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/en/en_ppocr_mobile_v1.1_rec_quant_opt.nb) | -|en_ppocr_mobile_v1.1_rec|原始超轻量模型，支持英文、数字识别|[rec_en_lite_train.yml](../../configs/rec/multi_languages/rec_en_lite_train.yml)|2.0M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/en/en_ppocr_mobile_v1.1_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/en/en_ppocr_mobile_v1.1_rec_train.tar) | +| --- | --- | --- | --- | --- | +|en_number_mobile_slim_v2.0_rec|slim裁剪量化版超轻量模型，支持英文、数字识别|[rec_en_number_lite_train.yml](../../configs/rec/multi_language/rec_en_number_lite_train.yml)| |[推理模型 (coming soon )](link) / [slim模型 (coming soon)](link) | +|en_number_mobile_v2.0_rec|原始超轻量模型，支持英文、数字识别|[rec_en_number_lite_train.yml](../../configs/rec/multi_language/rec_en_number_lite_train.yml)|2.56M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_train.tar) | #### 3. 多语言识别模型（更多语言持续更新中...） + |模型名称|模型简介|配置文件|推理模型大小|下载地址| -|-|-|-|-|-| -| french_ppocr_mobile_v1.1_rec |法文识别|[rec_french_lite_train.yml](../../configs/rec/multi_languages/rec_french_lite_train.yml)|2.1M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/fr/french_ppocr_mobile_v1.1_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/fr/french_ppocr_mobile_v1.1_rec_train.tar) | -| german_ppocr_mobile_v1.1_rec |德文识别|[rec_ger_lite_train.yml](../../configs/rec/multi_languages/rec_ger_lite_train.yml)|2.1M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/ge/german_ppocr_mobile_v1.1_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/ge/german_ppocr_mobile_v1.1_rec_train.tar) | -| korean_ppocr_mobile_v1.1_rec |韩文识别|[rec_korean_lite_train.yml](../../configs/rec/multi_languages/rec_korean_lite_train.yml)|3.4M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/kr/korean_ppocr_mobile_v1.1_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/kr/korean_ppocr_mobile_v1.1_rec_train.tar) | -| japan_ppocr_mobile_v1.1_rec |日文识别|[rec_japan_lite_train.yml](../../configs/rec/multi_languages/rec_japan_lite_train.yml)|3.7M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/jp/japan_ppocr_mobile_v1.1_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/jp/japan_ppocr_mobile_v1.1_rec_train.tar) | +| --- | --- | --- | --- | --- | +| french_mobile_v2.0_rec |法文识别|[rec_french_lite_train.yml](../../configs/rec/multi_language/rec_french_lite_train.yml)|2.65M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/french_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/french_mobile_v2.0_rec_train.tar) | +| german_mobile_v2.0_rec |德文识别|[rec_german_lite_train.yml](../../configs/rec/multi_language/rec_german_lite_train.yml)|2.65M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_train.tar) | +| korean_mobile_v2.0_rec |韩文识别|[rec_korean_lite_train.yml](../../configs/rec/multi_language/rec_korean_lite_train.yml)|3.9M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_train.tar) | +| japan_mobile_v2.0_rec |日文识别|[rec_japan_lite_train.yml](../../configs/rec/multi_language/rec_japan_lite_train.yml)|4.23M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_train.tar) | ### 三、文本方向分类模型 + |模型名称|模型简介|配置文件|推理模型大小|下载地址| -|-|-|-|-|-| -|ch_ppocr_mobile_v1.1_cls_quant|slim量化版模型|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|0.5M|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_quant_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_quant_train.tar) / [slim模型](https://paddleocr.bj.bcebos.com/20-09-22/mobile/lite/ch_ppocr_mobile_v1.1_cls_quant_opt.nb) | -|ch_ppocr_mobile_v1.1_cls|原始模型|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|850kb|[推理模型](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_train.tar) | +| --- | --- | --- | --- | --- | +|ch_ppocr_mobile_slim_v2.0_cls|slim量化版模型|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)| |[推理模型 (coming soon)](link) / [训练模型](link) / [slim模型](link) | +|ch_ppocr_mobile_v2.0_cls|原始模型|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|1.38M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | -## OCR模型列表（V1.0，7月16日更新） +## OCR模型列表（V1.1，9月22日更新） + +[1.1系列模型地址](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/models_list.md) + +使用2.0版本代码加载1.x系列模型训练模型需在配置文件进行如下设置： +1. `Global.load_static_weights=True` +2. `Global.pretrained_model={path/to/1.x_model}` -|模型名称|模型简介|检测模型地址|识别模型地址|支持空格的识别模型地址| -|-|-|-|-|-| -|chinese_db_crnn_mobile|8.6M超轻量级中文OCR模型|[推理模型](https://paddleocr.bj.bcebos.com/ch_models/ch_det_mv3_db_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/ch_models/ch_det_mv3_db.tar) |[推理模型](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn.tar) |[推理模型](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_enhance_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_enhance.tar) -|chinese_db_crnn_server|通用中文OCR模型|[推理模型](https://paddleocr.bj.bcebos.com/ch_models/ch_det_r50_vd_db_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/ch_models/ch_det_r50_vd_db.tar) |[推理模型](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn.tar) |[推理模型](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn_enhance_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn_enhance.tar) diff --git a/doc/doc_en/models_list_en.md b/doc/doc_en/models_list_en.md index 3d3cdc1d..189cf76d 100644 --- a/doc/doc_en/models_list_en.md +++ b/doc/doc_en/models_list_en.md @@ -10,61 +10,65 @@ The downloadable models provided by PaddleOCR include `inference model`, `trained model`, `pre-trained model` and `slim model`. The differences between the models are as follows: |model type|model format|description| -|-|-|-| -|inference model|model、params|Used for reasoning based on Python prediction engine. [detail](./inference_en.md)| -|trained model / pre-trained model|\*.pdmodel、\*.pdopt、\*.pdparams|The checkpoints model saved in the training process, which stores the parameters of the model, mostly used for model evaluation and continuous training.| +|--- | --- | --- | +|inference model|inference.pdmodel、inference.pdiparams|Used for reasoning based on Python prediction engine，[detail](./inference.md)| +|trained model, pre-trained model|\*.pdparams、\*.pdopt、\*.states |The checkpoints model saved in the training process, which stores the parameters of the model, mostly used for model evaluation and continuous training.| |slim model|\*.nb|Generally used for Lite deployment| - ### 1. Text Detection Model -|model name|description|config|model size|download| -|-|-|-|-|-| -|ch_ppocr_mobile_slim_v1.1_det|Slim pruned lightweight model, supporting Chinese, English, multilingual text detection|[det_mv3_db_v1.1.yml](../../configs/det/det_mv3_db_v1.1.yml)|1.4M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/det/ch_ppocr_mobile_v1.1_det_prune_infer.tar) / [slim model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/lite/ch_ppocr_mobile_v1.1_det_prune_opt.nb)| -|ch_ppocr_mobile_v1.1_det|Original lightweight model, supporting Chinese, English, multilingual text detection|[det_mv3_db_v1.1.yml](../../configs/det/det_mv3_db_v1.1.yml)|2.6M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/det/ch_ppocr_mobile_v1.1_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/det/ch_ppocr_mobile_v1.1_det_train.tar)| -|ch_ppocr_server_v1.1_det|General model, which is larger than the lightweight model, but achieved better performance|[det_r18_vd_db_v1.1.yml](../../configs/det/det_r18_vd_db_v1.1.yml)|47.2M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/server/det/ch_ppocr_server_v1.1_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/server/det/ch_ppocr_server_v1.1_det_train.tar)| +|model name|description|config|model size|download| +| --- | --- | --- | --- | --- | +|ch_ppocr_mobile_slim_v2.0_det|Slim pruned lightweight model, supporting Chinese, English, multilingual text detection|[ch_det_mv3_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml)| |[inference model (coming soon)](link) / [slim model (coming soon)](link)| +|ch_ppocr_mobile_v2.0_det|Original lightweight model, supporting Chinese, English, multilingual text detection|[ch_det_mv3_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml)|3M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)| +|ch_ppocr_server_v2.0_det|General model, which is larger than the lightweight model, but achieved better performance|[ch_det_res18_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml)|47M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar)| ### 2. Text Recognition Model #### Chinese Recognition Model + |model name|description|config|model size|download| -|-|-|-|-|-| -|ch_ppocr_mobile_slim_v1.1_rec|Slim pruned and quantized lightweight model, supporting Chinese, English and number recognition|[rec_chinese_lite_train_v1.1.yml](../../configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml)|1.6M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/rec/ch_ppocr_mobile_v1.1_rec_quant_infer.tar) / [slim model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/lite/ch_ppocr_mobile_v1.1_rec_quant_opt.nb) | -|ch_ppocr_mobile_v1.1_rec|Original lightweight model, supporting Chinese, English and number recognition|[rec_chinese_lite_train_v1.1.yml](../../configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml)|4.6M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/rec/ch_ppocr_mobile_v1.1_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/rec/ch_ppocr_mobile_v1.1_rec_train.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/rec/ch_ppocr_mobile_v1.1_rec_pre.tar) | -|ch_ppocr_server_v1.1_rec|General model, supporting Chinese, English and number recognition|[rec_chinese_common_train_v1.1.yml](../../configs/rec/ch_ppocr_v1.1/rec_chinese_common_train_v1.1.yml)|105M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/server/rec/ch_ppocr_server_v1.1_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/server/rec/ch_ppocr_server_v1.1_rec_train.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/20-09-22/server/rec/ch_ppocr_server_v1.1_rec_pre.tar) | +| --- | --- | --- | --- | --- | +|ch_ppocr_mobile_slim_v2.0_rec|Slim pruned and quantized lightweight model, supporting Chinese, English and number recognition|[rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)| |[inference model (coming soon)](link) / [slim model (coming soon)](link) | +|ch_ppocr_mobile_v2.0_rec|Original lightweight model, supporting Chinese, English and number recognition|[rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)|3.71M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +|ch_ppocr_server_v2.0_rec|General model, supporting Chinese, English and number recognition|[rec_chinese_common_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_common_train_v2.0.yml)|94.8M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | + **Note:** The `trained model` is finetuned on the `pre-trained model` with real data and synthsized vertical text data, which achieved better performance in real scene. The `pre-trained model` is directly trained on the full amount of real data and synthsized data, which is more suitable for finetune on your own dataset. #### English Recognition Model + |model name|description|config|model size|download| -|-|-|-|-|-| -|en_ppocr_mobile_slim_v1.1_rec|Slim pruned and quantized lightweight model, supporting English and number recognition|[rec_en_lite_train.yml](../../configs/rec/multi_languages/rec_en_lite_train.yml)|0.9M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/en/en_ppocr_mobile_v1.1_rec_quant_infer.tar) / [slim model](https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/en/en_ppocr_mobile_v1.1_rec_quant_opt.nb) | -|en_ppocr_mobile_v1.1_rec|Original lightweight model, supporting English and number recognition|[rec_en_lite_train.yml](../../configs/rec/multi_languages/rec_en_lite_train.yml)|2.0M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/en/en_ppocr_mobile_v1.1_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/en/en_ppocr_mobile_v1.1_rec_train.tar) | +| --- | --- | --- | --- | --- | +|en_number_mobile_slim_v2.0_rec|Slim pruned and quantized lightweight model, supporting English and number recognition|[rec_en_number_lite_train.yml](../../configs/rec/multi_language/rec_en_number_lite_train.yml)| |[inference model (coming soon )](link) / [slim model (coming soon)](link) | +|en_number_mobile_v2.0_rec|Original lightweight model, supporting English and number recognition|[rec_en_number_lite_train.yml](../../configs/rec/multi_language/rec_en_number_lite_train.yml)|2.56M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_train.tar) | #### Multilingual Recognition Model（Updating...） -|model name|description|config|model size|download| -|-|-|-|-|-| -| french_ppocr_mobile_v1.1_rec |Lightweight model for French recognition|[rec_french_lite_train.yml](../../configs/rec/multi_languages/rec_french_lite_train.yml)|2.1M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/fr/french_ppocr_mobile_v1.1_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/fr/french_ppocr_mobile_v1.1_rec_train.tar) | -| german_ppocr_mobile_v1.1_rec |German model for French recognition|[rec_ger_lite_train.yml](../../configs/rec/multi_languages/rec_ger_lite_train.yml)|2.1M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/ge/german_ppocr_mobile_v1.1_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/ge/german_ppocr_mobile_v1.1_rec_train.tar) | -| korean_ppocr_mobile_v1.1_rec |Lightweight model for Korean recognition|[rec_korean_lite_train.yml](../../configs/rec/multi_languages/rec_korean_lite_train.yml)|3.4M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/kr/korean_ppocr_mobile_v1.1_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/kr/korean_ppocr_mobile_v1.1_rec_train.tar) | -| japan_ppocr_mobile_v1.1_rec |Lightweight model for Japanese recognition|[rec_japan_lite_train.yml](../../configs/rec/multi_languages/rec_japan_lite_train.yml)|3.7M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/jp/japan_ppocr_mobile_v1.1_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/jp/japan_ppocr_mobile_v1.1_rec_train.tar) | +|model name|description|config|model size|download| +| --- | --- | --- | --- | --- | +| french_mobile_v2.0_rec |Lightweight model for French recognition|[rec_french_lite_train.yml](../../configs/rec/multi_language/rec_french_lite_train.yml)|2.65M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/french_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/french_mobile_v2.0_rec_train.tar) | +| german_mobile_v2.0_rec |Lightweight model for French recognition|[rec_german_lite_train.yml](../../configs/rec/multi_language/rec_german_lite_train.yml)|2.65M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_train.tar) | +| korean_mobile_v2.0_rec |Lightweight model for Korean recognition|[rec_korean_lite_train.yml](../../configs/rec/multi_language/rec_korean_lite_train.yml)|3.9M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_train.tar) | +| japan_mobile_v2.0_rec |Lightweight model for Japanese recognition|[rec_japan_lite_train.yml](../../configs/rec/multi_language/rec_japan_lite_train.yml)|4.23M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_train.tar) | ### 3. Text Angle Classification Model + |model name|description|config|model size|download| -|-|-|-|-|-| -|ch_ppocr_mobile_v1.1_cls_quant|Slim quantized model|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|0.5M|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_quant_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_quant_train.tar) / [slim model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/lite/ch_ppocr_mobile_v1.1_cls_quant_opt.nb) | -|ch_ppocr_mobile_v1.1_cls|Original model|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|850kb|[inference model](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_train.tar) | +| --- | --- | --- | --- | --- | +|ch_ppocr_mobile_slim_v2.0_cls|Slim quantized model|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)| |[inference model (coming soon)](link) / [trained model](link) / [slim model](link) | +|ch_ppocr_mobile_v2.0_cls|Original model|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|1.38M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | -## OCR model list（V1.0, updated on 7.16） -|model name|description|detection model|recognition model|recognition model supporting space recognition| -|-|-|-|-|-| -|chinese_db_crnn_mobile|8.6M lightweight OCR model|[inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_det_mv3_db_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/ch_models/ch_det_mv3_db.tar) | [inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn.tar) |[inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_enhance_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_enhance.tar) -|chinese_db_crnn_server|General OCR model|[inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_det_r50_vd_db_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/ch_models/ch_det_r50_vd_db.tar) | [inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn.tar) |[inference model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn_enhance_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/ch_models/ch_rec_r34_vd_crnn_enhance.tar) +## OCR模型列表（V1.1，9月22日更新） +[1.1 series model address](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/models_list.md) + +Use the 2.0 version code to load the 1.x series model training model needs to be set in the configuration file as follows: +1. `Global.load_static_weights=True` +2. `Global.pretrained_model={path/to/1.x_model}` From cee24caf515e09c9c37ac71932ed061eb0742897 Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 10:54:40 +0800 Subject: [PATCH 06/20] update model size --- doc/doc_ch/quickstart.md | 2 +- doc/doc_en/quickstart_en.md | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/doc/doc_ch/quickstart.md b/doc/doc_ch/quickstart.md index 2fb97d82..eabf1d91 100644 --- a/doc/doc_ch/quickstart.md +++ b/doc/doc_ch/quickstart.md @@ -14,7 +14,7 @@ | 模型简介 | 模型名称 |推荐场景 | 检测模型 | 方向分类器 | 识别模型 | | ------------ | --------------- | ----------------|---- | ---------- | -------- | | 中英文超轻量OCR模型（8.1M） | ch_ppocr_mobile_v2.0_xx |移动端&服务器端|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | -| 中英文通用OCR模型（155.1M） | ch_ppocr_server_v2.0_xx |服务器端 |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | +| 中英文通用OCR模型（143M） | ch_ppocr_server_v2.0_xx |服务器端 |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | * windows 环境下如果没有安装wget,下载模型时可将链接复制到浏览器中下载，并解压放置在相应目录下 diff --git a/doc/doc_en/quickstart_en.md b/doc/doc_en/quickstart_en.md index 6d7f6f8d..e351ecc6 100644 --- a/doc/doc_en/quickstart_en.md +++ b/doc/doc_en/quickstart_en.md @@ -13,8 +13,8 @@ The detection and recognition models on the mobile and server sides are as follo | Model introduction | Model name | Recommended scene | Detection model | Direction Classifier | Recognition model | | ------------ | --------------- | ----------------|---- | ---------- | -------- | -| Ultra-lightweight Chinese OCR model（8.1M） | ch_ppocr_mobile_v2.0_xx |Mobile-side/Server-side|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | -| Universal Chinese OCR model（155.1M） | ch_ppocr_server_v2.0_xx |Server-side |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | +| Ultra-lightweight Chinese OCR model (8.1M) | ch_ppocr_mobile_v2.0_xx |Mobile-side/Server-side|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +| Universal Chinese OCR model (143M) | ch_ppocr_server_v2.0_xx |Server-side |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | * If `wget` is not installed in the windows environment, you can copy the link to the browser to download when downloading the model, then uncompress it and place it in the corresponding directory. From 0e80bade3cb1c77e06818414c0088583d505253d Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 10:55:42 +0800 Subject: [PATCH 07/20] update inference.md to inference_en.md --- doc/doc_en/models_list_en.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/doc_en/models_list_en.md b/doc/doc_en/models_list_en.md index 189cf76d..8c9329c8 100644 --- a/doc/doc_en/models_list_en.md +++ b/doc/doc_en/models_list_en.md @@ -11,7 +11,7 @@ The downloadable models provided by PaddleOCR include `inference model`, `traine |model type|model format|description| |--- | --- | --- | -|inference model|inference.pdmodel、inference.pdiparams|Used for reasoning based on Python prediction engine，[detail](./inference.md)| +|inference model|inference.pdmodel、inference.pdiparams|Used for reasoning based on Python prediction engine，[detail](./inference_en.md)| |trained model, pre-trained model|\*.pdparams、\*.pdopt、\*.states |The checkpoints model saved in the training process, which stores the parameters of the model, mostly used for model evaluation and continuous training.| |slim model|\*.nb|Generally used for Lite deployment| From c3231f1b0e9d7c944e129a5ef59439959df76d1a Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 11:03:11 +0800 Subject: [PATCH 08/20] remove 2.0 load 1.1 model --- doc/doc_ch/models_list.md | 6 +----- doc/doc_en/models_list_en.md | 7 ++----- 2 files changed, 3 insertions(+), 10 deletions(-) diff --git a/doc/doc_ch/models_list.md b/doc/doc_ch/models_list.md index f44e304f..965ed79c 100644 --- a/doc/doc_ch/models_list.md +++ b/doc/doc_ch/models_list.md @@ -68,11 +68,7 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 |ch_ppocr_mobile_v2.0_cls|原始模型|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|1.38M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | -## OCR模型列表（V1.1，9月22日更新） +## OCR模型列表（V1.1，2020年9月22日更新） [1.1系列模型地址](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/models_list.md) -使用2.0版本代码加载1.x系列模型训练模型需在配置文件进行如下设置： -1. `Global.load_static_weights=True` -2. `Global.pretrained_model={path/to/1.x_model}` - diff --git a/doc/doc_en/models_list_en.md b/doc/doc_en/models_list_en.md index 8c9329c8..68a59caa 100644 --- a/doc/doc_en/models_list_en.md +++ b/doc/doc_en/models_list_en.md @@ -66,9 +66,6 @@ The downloadable models provided by PaddleOCR include `inference model`, `traine |ch_ppocr_mobile_v2.0_cls|Original model|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|1.38M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | -## OCR模型列表（V1.1，9月22日更新） -[1.1 series model address](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/models_list.md) +## OCR model list (V1.1，update in 2020.9.22) -Use the 2.0 version code to load the 1.x series model training model needs to be set in the configuration file as follows: -1. `Global.load_static_weights=True` -2. `Global.pretrained_model={path/to/1.x_model}` +[1.1 series model address](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/models_list.md) From 1759c1a8120ce015e68fd8a1543bbd21a39da402 Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 11:03:50 +0800 Subject: [PATCH 09/20] remove 2.0 load 1.1 model --- doc/doc_ch/models_list.md | 2 +- doc/doc_en/models_list_en.md | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/doc/doc_ch/models_list.md b/doc/doc_ch/models_list.md index 965ed79c..b281e1e7 100644 --- a/doc/doc_ch/models_list.md +++ b/doc/doc_ch/models_list.md @@ -1,4 +1,4 @@ -## OCR模型列表（V2.0，2020年12月11日更新） +## OCR模型列表（V2.0，2020年12月12日更新） - [一、文本检测模型](#文本检测模型) - [二、文本识别模型](#文本识别模型) diff --git a/doc/doc_en/models_list_en.md b/doc/doc_en/models_list_en.md index 68a59caa..63d8c598 100644 --- a/doc/doc_en/models_list_en.md +++ b/doc/doc_en/models_list_en.md @@ -1,4 +1,4 @@ -## OCR model list（V1.1, updated on 9.22） +## OCR model list（V1.1, updated on 2020.12.12） - [1. Text Detection Model](#Detection) - [2. Text Recognition Model](#Recognition) @@ -66,6 +66,6 @@ The downloadable models provided by PaddleOCR include `inference model`, `traine |ch_ppocr_mobile_v2.0_cls|Original model|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|1.38M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | -## OCR model list (V1.1，update in 2020.9.22) +## OCR model list (V1.1，updated on 2020.9.22) [1.1 series model address](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/models_list.md) From dd649a1c6cff7351fcd646ad82a4d265cd3ccca2 Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 11:25:05 +0800 Subject: [PATCH 10/20] delete path in config --- configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml | 2 +- configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml | 2 +- configs/det/det_mv3_db.yml | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml b/configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml index 275c71b9..fd884959 100644 --- a/configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml +++ b/configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml @@ -11,7 +11,7 @@ Global: load_static_weights: True cal_metric_during_train: False pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained - checkpoints: #./output/det_db_0.001_DiceLoss_256_pp_config_2.0b_4gpu/best_accuracy + checkpoints: save_inference_dir: use_visualdl: False infer_img: doc/imgs_en/img_10.jpg diff --git a/configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml b/configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml index e34d9449..26946012 100644 --- a/configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml +++ b/configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml @@ -11,7 +11,7 @@ Global: load_static_weights: True cal_metric_during_train: False pretrained_model: ./pretrain_models/ResNet18_vd_pretrained - checkpoints: #./output/det_db_0.001_DiceLoss_256_pp_config_2.0b_4gpu/best_accuracy + checkpoints: save_inference_dir: use_visualdl: False infer_img: doc/imgs_en/img_10.jpg diff --git a/configs/det/det_mv3_db.yml b/configs/det/det_mv3_db.yml index 640f3a20..36a6f755 100644 --- a/configs/det/det_mv3_db.yml +++ b/configs/det/det_mv3_db.yml @@ -11,7 +11,7 @@ Global: load_static_weights: True cal_metric_during_train: False pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained - checkpoints: #./output/det_db_0.001_DiceLoss_256_pp_config_2.0b_4gpu/best_accuracy + checkpoints: save_inference_dir: use_visualdl: False infer_img: doc/imgs_en/img_10.jpg From 25ec8cacedfd564d93a56cac46ad320be8ee2e79 Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 11:30:49 +0800 Subject: [PATCH 11/20] update inference --- doc/doc_ch/inference.md | 4 ++-- doc/doc_en/inference_en.md | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/doc_ch/inference.md b/doc/doc_ch/inference.md index 8f4bea07..7fc5e1bf 100644 --- a/doc/doc_ch/inference.md +++ b/doc/doc_ch/inference.md @@ -295,10 +295,10 @@ dict_character = list(self.character_str) ``` ### 4. 自定义文本识别字典的推理 -如果训练时修改了文本的字典，在使用inference模型预测时，需要通过`--rec_char_dict_path`指定使用的字典路径 +如果训练时修改了文本的字典，在使用inference模型预测时，需要通过`--rec_char_dict_path`指定使用的字典路径，并且设置 `rec_char_type=ch` ``` -python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_336.png" --rec_model_dir="./your inference model" --rec_image_shape="3, 32, 100" --rec_char_type="en" --rec_char_dict_path="your text dict path" +python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_336.png" --rec_model_dir="./your inference model" --rec_image_shape="3, 32, 100" --rec_char_type="ch" --rec_char_dict_path="your text dict path" ``` diff --git a/doc/doc_en/inference_en.md b/doc/doc_en/inference_en.md index ee567451..12553c4c 100644 --- a/doc/doc_en/inference_en.md +++ b/doc/doc_en/inference_en.md @@ -299,10 +299,10 @@ dict_character = list(self.character_str) ### 4. TEXT RECOGNITION MODEL INFERENCE USING CUSTOM CHARACTERS DICTIONARY -If the chars dictionary is modified during training, you need to specify the new dictionary path by setting the parameter `rec_char_dict_path` when using your inference model to predict. +If the text dictionary is modified during training, when using the inference model to predict, you need to specify the dictionary path used by `--rec_char_dict_path`, and set `rec_char_type=ch` ``` -python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_336.png" --rec_model_dir="./your inference model" --rec_image_shape="3, 32, 100" --rec_char_type="en" --rec_char_dict_path="your text dict path" +python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_336.png" --rec_model_dir="./your inference model" --rec_image_shape="3, 32, 100" --rec_char_type="ch" --rec_char_dict_path="your text dict path" ``` From 8ddeec84285df51f928314e5a27fa9b03c25e337 Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 12:57:05 +0800 Subject: [PATCH 12/20] update inference doc --- doc/doc_ch/inference.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/doc_ch/inference.md b/doc/doc_ch/inference.md index 7fc5e1bf..4869eb2c 100644 --- a/doc/doc_ch/inference.md +++ b/doc/doc_ch/inference.md @@ -253,7 +253,7 @@ Predicts of ./doc/imgs_words/ch/word_4.jpg:['实力活力', 0.89552695] 我们以 CRNN 为例，介绍基于CTC损失的识别模型推理。 Rosetta 使用方式类似，不用设置识别算法参数rec_algorithm。 -首先将 Rosetta 文本识别训练过程中保存的模型，转换成inference model。以基于Resnet34_vd骨干网络，使用MJSynth和SynthText两个英文文本识别合成数据集训练 +首先将 CRNN 文本识别训练过程中保存的模型，转换成inference model。以基于Resnet34_vd骨干网络，使用MJSynth和SynthText两个英文文本识别合成数据集训练 的模型为例（ [模型下载地址](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_bilstm_ctc_v2.0_train.tar) )，可以使用如下命令进行转换： ``` @@ -261,7 +261,7 @@ python3 tools/export_model.py -c configs/rec/rec_r34_vd_none_bilstm_ctc.yml -o G ``` -STAR-Net文本识别模型推理，可以执行如下命令： +CRNN 文本识别模型推理，可以执行如下命令： ``` python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_336.png" --rec_model_dir="./inference/rec_crnn/" --rec_image_shape="3, 32, 100" --rec_char_type="en" From d3ca2e426ebf3913605141af1ac9479dc7d27568 Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 13:28:33 +0800 Subject: [PATCH 13/20] update inference result --- doc/doc_ch/inference.md | 21 +++++++++++---------- doc/doc_en/inference_en.md | 25 ++++++++++++++----------- doc/imgs_results/2.jpg | Bin 151992 -> 94428 bytes doc/imgs_results/det_res_2.jpg | Bin 81368 -> 79195 bytes doc/imgs_results/det_res_img_10_db.jpg | Bin 338444 -> 339276 bytes 5 files changed, 25 insertions(+), 21 deletions(-) diff --git a/doc/doc_ch/inference.md b/doc/doc_ch/inference.md index 4869eb2c..663533c4 100644 --- a/doc/doc_ch/inference.md +++ b/doc/doc_ch/inference.md @@ -186,7 +186,7 @@ python3 tools/infer/predict_det.py --det_algorithm="EAST" --image_dir="./doc/img ``` 可视化文本检测结果默认保存到`./inference_results`文件夹里面，结果文件的名称前缀为'det_res'。结果示例如下： -![](../imgs_results/det_res_img_10_east.jpg) +(coming soon) **注意**：本代码库中，EAST后处理Locality-Aware NMS有python和c++两种版本，c++版速度明显快于python版。由于c++版本nms编译版本问题，只有python3.5环境下会调用c++版nms，其他情况将调用python版nms。 @@ -205,7 +205,7 @@ python3 tools/infer/predict_det.py --det_algorithm="SAST" --image_dir="./doc/img ``` 可视化文本检测结果默认保存到`./inference_results`文件夹里面，结果文件的名称前缀为'det_res'。结果示例如下： -![](../imgs_results/det_res_img_10_sast.jpg) +(coming soon) #### (2). 弯曲文本检测模型（Total-Text） 首先将SAST文本检测训练过程中保存的模型，转换成inference model。以基于Resnet50_vd骨干网络，在Total-Text英文数据集训练的模型为例（[模型下载地址(coming soon)](link))，可以使用如下命令进行转换： @@ -221,7 +221,7 @@ python3 tools/infer/predict_det.py --det_algorithm="SAST" --image_dir="./doc/img ``` 可视化文本检测结果默认保存到`./inference_results`文件夹里面，结果文件的名称前缀为'det_res'。结果示例如下： -![](../imgs_results/det_res_img623_sast.jpg) +(coming soon) **注意**：本代码库中，SAST后处理Locality-Aware NMS有python和c++两种版本，c++版速度明显快于python版。由于c++版本nms编译版本问题，只有python3.5环境下会调用c++版nms，其他情况将调用python版nms。 @@ -245,8 +245,9 @@ python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/ch/word_4.jpg" 执行命令后，上面图像的预测结果（识别的文本和得分）会打印到屏幕上，示例如下： -Predicts of ./doc/imgs_words/ch/word_4.jpg:['实力活力', 0.89552695] - +```bash +Predicts of ./doc/imgs_words/ch/word_4.jpg:('实力活力', 0.98458153) +``` ### 2. 基于CTC损失的识别模型推理 @@ -281,7 +282,9 @@ python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_336.png 执行命令后，上面图像的识别结果如下： -Predicts of ./doc/imgs_words_en/word_336.png:['super', 0.9999555] +```bash +Predicts of ./doc/imgs_words_en/word_336.png:('super', 0.9999073) +``` **注意**：由于上述模型是参考[DTRB](https://arxiv.org/abs/1904.01906)文本识别训练和评估流程，与超轻量级中文识别模型训练有两方面不同： @@ -313,9 +316,7 @@ python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/korean/1.jpg" - 执行命令后，上图的预测结果为： ``` text -2020-09-19 16:15:05,076-INFO: index: [205 206 38 39] -2020-09-19 16:15:05,077-INFO: word : 바탕으로 -2020-09-19 16:15:05,077-INFO: score: 0.9171358942985535 +Predicts of ./doc/imgs_words/korean/1.jpg:('바탕으로', 0.9948904) ``` @@ -378,4 +379,4 @@ python3 tools/infer/predict_system.py --image_dir="./doc/imgs_en/img_10.jpg" --d 执行命令后，识别结果图像如下： -![](../imgs_results/img_10.jpg) +(coming soon) diff --git a/doc/doc_en/inference_en.md b/doc/doc_en/inference_en.md index 12553c4c..411a733d 100644 --- a/doc/doc_en/inference_en.md +++ b/doc/doc_en/inference_en.md @@ -192,7 +192,7 @@ python3 tools/infer/predict_det.py --image_dir="./doc/imgs_en/img_10.jpg" --det_ The visualized text detection results are saved to the `./inference_results` folder by default, and the name of the result file is prefixed with 'det_res'. Examples of results are as follows: -![](../imgs_results/det_res_img_10_east.jpg) +(coming soon) **Note**: EAST post-processing locality aware NMS has two versions: Python and C++. The speed of C++ version is obviously faster than that of Python version. Due to the compilation version problem of NMS of C++ version, C++ version NMS will be called only in Python 3.5 environment, and python version NMS will be called in other cases. @@ -214,7 +214,7 @@ python3 tools/infer/predict_det.py --det_algorithm="SAST" --image_dir="./doc/img The visualized text detection results are saved to the `./inference_results` folder by default, and the name of the result file is prefixed with 'det_res'. Examples of results are as follows: -![](../imgs_results/det_res_img_10_sast.jpg) +(coming soon) #### (2). Curved text detection model (Total-Text) First, convert the model saved in the SAST text detection training process into an inference model. Taking the model based on the Resnet50_vd backbone network and trained on the Total-Text English dataset as an example ([model download link (coming soon)](https://paddleocr.bj.bcebos.com/SAST/sast_r50_vd_total_text.tar)), you can use the following command to convert: @@ -231,7 +231,7 @@ python3 tools/infer/predict_det.py --det_algorithm="SAST" --image_dir="./doc/img The visualized text detection results are saved to the `./inference_results` folder by default, and the name of the result file is prefixed with 'det_res'. Examples of results are as follows: -![](../imgs_results/det_res_img623_sast.jpg) +(coming soon) **Note**: SAST post-processing locality aware NMS has two versions: Python and C++. The speed of C++ version is obviously faster than that of Python version. Due to the compilation version problem of NMS of C++ version, C++ version NMS will be called only in Python 3.5 environment, and python version NMS will be called in other cases. @@ -254,8 +254,9 @@ python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/ch/word_4.jpg" After executing the command, the prediction results (recognized text and score) of the above image will be printed on the screen. -Predicts of ./doc/imgs_words/ch/word_4.jpg:['实力活力', 0.89552695] - +```bash +Predicts of ./doc/imgs_words/ch/word_4.jpg:('实力活力', 0.98458153) +``` ### 2. CTC-BASED TEXT RECOGNITION MODEL INFERENCE @@ -276,7 +277,6 @@ python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_336.png ### 3. ATTENTION-BASED TEXT RECOGNITION MODEL INFERENCE -![](../imgs_words_en/word_336.png) The recognition model based on Attention loss is different from ctc, and additional recognition algorithm parameters need to be set --rec_algorithm="RARE" After executing the command, the recognition result of the above image is as follows: @@ -284,8 +284,13 @@ After executing the command, the recognition result of the above image is as fol python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_336.png" --rec_model_dir="./inference/rare/" --rec_image_shape="3, 32, 100" --rec_char_type="en" --rec_algorithm="RARE" ``` -Predicts of ./doc/imgs_words_en/word_336.png:['super', 0.9999555] +![](../imgs_words_en/word_336.png) +After executing the command, the recognition result of the above image is as follows: + +```bash +Predicts of ./doc/imgs_words_en/word_336.png:('super', 0.9999073) +``` **Note**：Since the above model refers to [DTRB](https://arxiv.org/abs/1904.01906) text recognition training and evaluation process, it is different from the training of lightweight Chinese recognition model in two aspects: - The image resolution used in training is different: the image resolution used in training the above model is [3，32，100], while during our Chinese model training, in order to ensure the recognition effect of long text, the image resolution used in training is [3, 32, 320]. The default shape parameter of the inference stage is the image resolution used in training phase, that is [3, 32, 320]. Therefore, when running inference of the above English model here, you need to set the shape of the recognition image through the parameter `rec_image_shape`. @@ -318,9 +323,7 @@ python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/korean/1.jpg" - After executing the command, the prediction result of the above figure is: ``` text -2020-09-19 16:15:05,076-INFO: index: [205 206 38 39] -2020-09-19 16:15:05,077-INFO: word : 바탕으로 -2020-09-19 16:15:05,077-INFO: score: 0.9171358942985535 +Predicts of ./doc/imgs_words/korean/1.jpg:('바탕으로', 0.9948904) ``` @@ -381,4 +384,4 @@ python3 tools/infer/predict_system.py --image_dir="./doc/imgs_en/img_10.jpg" --d After executing the command, the recognition result image is as follows: -![](../imgs_results/img_10.jpg) +(coming soon) diff --git a/doc/imgs_results/2.jpg b/doc/imgs_results/2.jpg index 201ef9ee492702118cd1638ed8a0b832c1c6d9ed..99f7e63b02556506dadf8d838eee22534d21d82c 100644 GIT binary patch literal 94428 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ziT3FgAxn6d){jJ`k2kOFs}AUits({St zF6+t+PM}(P{Zq{9#|%)S-$?Nfc98q~)qZ_!!p*o@`if^I`8n73$FEGI>@$QpkLWt2 zJp63fWP1+xRbJ|>meKhc8qW8VSmQIcC}38R5;-yv=hR(ij!164O%x_b-(F7M#9yfY zBQhcb8j^T-6q;fdr%C+|+PxtkyNq6TcJTI|Dp`RC)${om=*Te>VBO~+Y3}}k7seX( zf_tnAu&R|Et=c?QQQ|NTqjV}ToWnm7qw2>17n{1UF=W=Wfp;ba_&1I>x49`8ohl*( zcA1j3y`uC_fNrZ>7SZhUt3_QbMKLfG-6951J From 4b87314a4690425cec020bcb304f4c63143deafb Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 14:12:18 +0800 Subject: [PATCH 14/20] update config --- doc/doc_ch/config.md | 2 +- doc/doc_en/config_en.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/doc_ch/config.md b/doc/doc_ch/config.md index b185929e..92cb4ed6 100644 --- a/doc/doc_ch/config.md +++ b/doc/doc_ch/config.md @@ -17,7 +17,7 @@ | :----------------------: | :---------------------: | :--------------: | :--------------------: | | use_gpu | 设置代码是否在gpu运行 | true | \ | | epoch_num | 最大训练epoch数 | 500 | \ | -| log_smooth_window | 滑动窗口大小 | 20 | \ | +| log_smooth_window | log队列长度，每次打印输出队列里的中间值 | 20 | \ | | print_batch_step | 设置打印log间隔 | 10 | \ | | save_model_dir | 设置模型保存路径 | output/{算法名称} | \ | | save_epoch_step | 设置模型保存间隔 | 3 | \ | diff --git a/doc/doc_en/config_en.md b/doc/doc_en/config_en.md index 6f54ce24..ada1678e 100644 --- a/doc/doc_en/config_en.md +++ b/doc/doc_en/config_en.md @@ -16,7 +16,7 @@ Take rec_chinese_lite_train_v2.0.yml as an example | :----------------------: | :---------------------: | :--------------: | :--------------------: | | use_gpu | Set using GPU or not | true | \ | | epoch_num | Maximum training epoch number | 500 | \ | -| log_smooth_window | Sliding window size | 20 | \ | +| log_smooth_window | Log queue length, the median value in the queue each time will be printed | 20 | \ | | print_batch_step | Set print log interval | 10 | \ | | save_model_dir | Set model save path | output/{算法名称} | \ | | save_epoch_step | Set model save interval | 3 | \ | From 3ebb4a166053845ac0e868fca644094844955d88 Mon Sep 17 00:00:00 2001 From: tink2123 Date: Sat, 12 Dec 2020 14:13:27 +0800 Subject: [PATCH 15/20] update doc --- README_ch.md | 4 ++-- README_en.md | 4 ++-- doc/doc_ch/recognition.md | 4 ++-- doc/doc_en/recognition_en.md | 4 ++-- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/README_ch.md b/README_ch.md index 701d0194..588af59c 100644 --- a/README_ch.md +++ b/README_ch.md @@ -54,8 +54,8 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库，助力 | 模型简介 | 模型名称 |推荐场景 | 检测模型 | 方向分类器 | 识别模型 | | ------------ | --------------- | ----------------|---- | ---------- | -------- | -| 中英文超轻量OCR模型（8.1M） | ch_ppocr_mobile_v2.0_xx |移动端&服务器端|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[推理模型](link) / [预训练模型](link) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | -| 中英文通用OCR模型（155.1M） |ch_ppocr_server_v2.0_xx|服务器端 |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[推理模型](link) / [预训练模型](link) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | +| 中英文超轻量OCR模型（8.1M） | ch_ppocr_mobile_v2.0_xx |移动端&服务器端|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +| 中英文通用OCR模型（143M） |ch_ppocr_server_v2.0_xx|服务器端 |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | 更多模型下载（包括多语言），可以参考[PP-OCR v2.0 系列模型下载](./doc/doc_ch/models_list.md) diff --git a/README_en.md b/README_en.md index 05247950..9e839c44 100644 --- a/README_en.md +++ b/README_en.md @@ -62,8 +62,8 @@ Mobile DEMO experience (based on EasyEdge and Paddle-Lite, supports iOS and Andr | Model introduction | Model name | Recommended scene | Detection model | Direction classifier | Recognition model | | ------------------------------------------------------------ | ---------------------------- | ----------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | -| Chinese and English ultra-lightweight OCR model (8.1M) | ch_ppocr_mobile_v2.0_xx | Mobile & server |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](link) / [pre-trained model](link) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | -| Chinese and English general OCR model (155.1M) | ch_ppocr_server_v2.0_xx | Server |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[inference model](link) / [pre-trained model](link) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | +| Chinese and English ultra-lightweight OCR model (8.1M) | ch_ppocr_mobile_v2.0_xx | Mobile & server |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +| Chinese and English general OCR model (143M) | ch_ppocr_server_v2.0_xx | Server |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_traingit.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | For more model downloads (including multiple languages), please refer to [PP-OCR v2.0 series model downloads](./doc/doc_en/models_list_en.md). diff --git a/doc/doc_ch/recognition.md b/doc/doc_ch/recognition.md index 9dda9ded..25da8fce 100644 --- a/doc/doc_ch/recognition.md +++ b/doc/doc_ch/recognition.md @@ -155,10 +155,10 @@ PaddleOCR提供了训练脚本、评估脚本和预测脚本，本节将以 CRNN ``` cd PaddleOCR/ # 下载MobileNetV3的预训练模型 -wget -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_infer.tar +wget -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_train.tar # 解压模型参数 cd pretrain_models -tar -xf rec_mv3_none_bilstm_ctc_v2.0_infer.tar && rm -rf rec_mv3_none_bilstm_ctc_v2.0_infer.tar +tar -xf rec_mv3_none_bilstm_ctc_v2.0_train.tar && rm -rf rec_mv3_none_bilstm_ctc_v2.0_train.tar ``` 开始训练: diff --git a/doc/doc_en/recognition_en.md b/doc/doc_en/recognition_en.md index 14c3da73..bc06738c 100644 --- a/doc/doc_en/recognition_en.md +++ b/doc/doc_en/recognition_en.md @@ -151,10 +151,10 @@ First download the pretrain model, you can download the trained model to finetun ``` cd PaddleOCR/ # Download the pre-trained model of MobileNetV3 -wget -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/rec_mv3_none_bilstm_ctc.tar +wget -P ./pretrain_models/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_train.tar # Decompress model parameters cd pretrain_models -tar -xf rec_mv3_none_bilstm_ctc.tar && rm -rf rec_mv3_none_bilstm_ctc.tar +tar -xf rec_mv3_none_bilstm_ctc_v2.0_train.tar && rm -rf rec_mv3_none_bilstm_ctc_v2.0_train.tar ``` Start training: From c12259091e9b2d4045e1984f35b158617cdb8135 Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Sat, 12 Dec 2020 20:10:19 +0800 Subject: [PATCH 16/20] Fix printing problem when multi-image prediction --- tools/infer/predict_det.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tools/infer/predict_det.py b/tools/infer/predict_det.py index 5be27339..43db20d2 100755 --- a/tools/infer/predict_det.py +++ b/tools/infer/predict_det.py @@ -186,4 +186,4 @@ if __name__ == "__main__": cv2.imwrite(img_path, src_im) logger.info("The visualized image saved in {}".format(img_path)) if count > 1: - logger.info("Avg Time:", total_time / (count - 1)) + logger.info("Avg Time: {}".format(total_time / (count - 1))) From edc0fd0ccd93027add6e119467dd3c8ec6b86500 Mon Sep 17 00:00:00 2001 From: MissPenguin Date: Sun, 13 Dec 2020 06:18:26 +0000 Subject: [PATCH 17/20] fix predict_det --- ppocr/postprocess/db_postprocess.py | 2 +- tools/infer/predict_det.py | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) mode change 100644 => 100755 ppocr/postprocess/db_postprocess.py diff --git a/ppocr/postprocess/db_postprocess.py b/ppocr/postprocess/db_postprocess.py old mode 100644 new mode 100755 index 0be2c12a..16c789dc --- a/ppocr/postprocess/db_postprocess.py +++ b/ppocr/postprocess/db_postprocess.py @@ -40,7 +40,7 @@ class DBPostProcess(object): self.max_candidates = max_candidates self.unclip_ratio = unclip_ratio self.min_size = 3 - self.dilation_kernel = None if not use_dilation else [[1, 1], [1, 1]] + self.dilation_kernel = None if not use_dilation else np.array([[1, 1], [1, 1]]) def boxes_from_bitmap(self, pred, _bitmap, dest_width, dest_height): ''' diff --git a/tools/infer/predict_det.py b/tools/infer/predict_det.py index 43db20d2..6f98ded8 100755 --- a/tools/infer/predict_det.py +++ b/tools/infer/predict_det.py @@ -63,6 +63,7 @@ class TextDetector(object): postprocess_params["box_thresh"] = args.det_db_box_thresh postprocess_params["max_candidates"] = 1000 postprocess_params["unclip_ratio"] = args.det_db_unclip_ratio + postprocess_params["use_dilation"] = True else: logger.info("unknown det_algorithm:{}".format(self.det_algorithm)) sys.exit(0) @@ -111,7 +112,7 @@ class TextDetector(object): box = self.clip_det_res(box, img_height, img_width) rect_width = int(np.linalg.norm(box[0] - box[1])) rect_height = int(np.linalg.norm(box[0] - box[3])) - if rect_width <= 10 or rect_height <= 10: + if rect_width <= 3 or rect_height <= 3: continue dt_boxes_new.append(box) dt_boxes = np.array(dt_boxes_new) From e84ea2667f3da91c75e03dde86441ef3c292db3c Mon Sep 17 00:00:00 2001 From: littletomatodonkey <2120160898@bit.edu.cn> Date: Sun, 13 Dec 2020 17:19:52 +0800 Subject: [PATCH 18/20] fix prob (#1404) --- ppocr/data/imaug/rec_img_aug.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/ppocr/data/imaug/rec_img_aug.py b/ppocr/data/imaug/rec_img_aug.py index 3ab5a8f3..2ccb2d1d 100644 --- a/ppocr/data/imaug/rec_img_aug.py +++ b/ppocr/data/imaug/rec_img_aug.py @@ -35,12 +35,13 @@ from .text_image_aug import tia_perspective, tia_stretch, tia_distort class RecAug(object): - def __init__(self, use_tia=True, **kwargsz): + def __init__(self, use_tia=True, aug_prob=0.4, **kwargs): self.use_tia = use_tia + self.aug_prob = aug_prob def __call__(self, data): img = data['image'] - img = warp(img, 10, self.use_tia) + img = warp(img, 10, self.use_tia, self.aug_prob) data['image'] = img return data @@ -329,7 +330,7 @@ def get_warpAffine(config): return rz -def warp(img, ang, use_tia=True): +def warp(img, ang, use_tia=True, prob=0.4): """ warp """ @@ -338,8 +339,6 @@ def warp(img, ang, use_tia=True): config.make(w, h, ang) new_img = img - prob = 0.4 - if config.distort: img_height, img_width = img.shape[0:2] if random.random() <= prob and img_height >= 20 and img_width >= 20: From 53b514e39d14dcd3ede701615be7a3bbd032ee58 Mon Sep 17 00:00:00 2001 From: Double_V Date: Sun, 13 Dec 2020 17:21:26 +0800 Subject: [PATCH 19/20] delete lite,slim, iosdemo and android demo of dyrgaph branch for now (#1403) delete lite,slim, iosdemo and android demo of dyrgaph branch for now --- README_ch.md | 9 +- README_en.md | 12 +- deploy/android_demo/.gitignore | 9 - deploy/android_demo/README.md | 19 - deploy/android_demo/app/.gitignore | 1 - deploy/android_demo/app/build.gradle | 94 - deploy/android_demo/app/proguard-rules.pro | 21 - .../demo/ocr/ExampleInstrumentedTest.java | 26 - .../app/src/main/AndroidManifest.xml | 39 - .../app/src/main/assets/images/5.jpg | Bin 63736 -> 0 bytes .../src/main/assets/labels/ppocr_keys_v1.txt | 6623 ----------------- .../app/src/main/cpp/CMakeLists.txt | 117 - deploy/android_demo/app/src/main/cpp/common.h | 48 - .../android_demo/app/src/main/cpp/native.cpp | 115 - deploy/android_demo/app/src/main/cpp/native.h | 138 - .../app/src/main/cpp/ocr_clipper.cpp | 4629 ------------ .../app/src/main/cpp/ocr_clipper.hpp | 547 -- .../app/src/main/cpp/ocr_crnn_process.cpp | 140 - .../app/src/main/cpp/ocr_crnn_process.h | 19 - .../app/src/main/cpp/ocr_db_post_process.cpp | 336 - .../app/src/main/cpp/ocr_db_post_process.h | 17 - .../app/src/main/cpp/ocr_ppredictor.cpp | 186 - .../app/src/main/cpp/ocr_ppredictor.h | 112 - .../app/src/main/cpp/ppredictor.cpp | 70 - .../app/src/main/cpp/ppredictor.h | 74 - .../app/src/main/cpp/predictor_input.cpp | 29 - .../app/src/main/cpp/predictor_input.h | 28 - .../app/src/main/cpp/predictor_output.cpp | 27 - .../app/src/main/cpp/predictor_output.h | 35 - .../app/src/main/cpp/preprocess.cpp | 84 - .../app/src/main/cpp/preprocess.h | 14 - .../demo/ocr/AppCompatPreferenceActivity.java | 128 - .../paddle/lite/demo/ocr/MainActivity.java | 473 -- .../paddle/lite/demo/ocr/MiniActivity.java | 157 - .../lite/demo/ocr/OCRPredictorNative.java | 100 - .../paddle/lite/demo/ocr/OcrResultModel.java | 52 - .../baidu/paddle/lite/demo/ocr/Predictor.java | 355 - .../lite/demo/ocr/SettingsActivity.java | 201 - .../com/baidu/paddle/lite/demo/ocr/Utils.java | 159 - .../drawable-v24/ic_launcher_foreground.xml | 34 - 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deploy/lite/readme.md delete mode 100644 deploy/lite/readme_en.md diff --git a/README_ch.md b/README_ch.md index 588af59c..fa400d31 100644 --- a/README_ch.md +++ b/README_ch.md @@ -77,9 +77,9 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库，助力 - [基于Python脚本预测引擎推理](./doc/doc_ch/inference.md) - [基于C++预测引擎推理](./deploy/cpp_infer/readme.md) - [服务化部署](./deploy/hubserving/readme.md) - - [端侧部署](./deploy/lite/readme.md) - - [模型量化](./deploy/slim/quantization/README.md) - - [模型裁剪](./deploy/slim/prune/README.md) + - [端侧部署](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/lite/readme.md) + - [模型量化](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/slim/quantization/README.md) + - [模型裁剪](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/slim/prune/README.md) - [Benchmark](./doc/doc_ch/benchmark.md) - 数据集 - [通用中英文OCR数据集](./doc/doc_ch/datasets.md) @@ -97,6 +97,9 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库，助力 - [许可证书](#许可证书) - [贡献代码](#贡献代码) +***注意：动态图端侧部署仍在开发中，目前仅支持动态图训练、python端预测，C++预测， +如果您有需要移动端部署案例或者量化裁剪，请切换到静态图分支；*** + ## PP-OCR Pipline

diff --git a/README_en.md b/README_en.md index 9e839c44..0b5eb1c6 100644 --- a/README_en.md +++ b/README_en.md @@ -88,9 +88,9 @@ For a new language request, please refer to [Guideline for new language_requests - [Python Inference](./doc/doc_en/inference_en.md) - [C++ Inference](./deploy/cpp_infer/readme_en.md) - [Serving](./deploy/hubserving/readme_en.md) - - [Mobile](./deploy/lite/readme_en.md) - - [Model Quantization](./deploy/slim/quantization/README_en.md) - - [Model Compression](./deploy/slim/prune/README_en.md) + - [Mobile](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/lite/readme_en.md) + - [Model Quantization](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/slim/quantization/README_en.md) + - [Model Compression](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/slim/prune/README_en.md) - [Benchmark](./doc/doc_en/benchmark_en.md) - Data Annotation and Synthesis - [Semi-automatic Annotation Tool](./PPOCRLabel/README_en.md) @@ -108,6 +108,12 @@ For a new language request, please refer to [Guideline for new language_requests - [License](#LICENSE) - [Contribution](#CONTRIBUTION) +***Note: The dynamic graphs branch is still under development. +Currently, only dynamic graph training, python-end prediction, and C++ prediction are supported. +If you need mobile-end deployment cases or quantitative demo, +please use the static graph branch.*** + + ## PP-OCR Pipeline diff --git a/deploy/android_demo/.gitignore b/deploy/android_demo/.gitignore deleted file mode 100644 index 93dcb293..00000000 --- a/deploy/android_demo/.gitignore +++ /dev/null @@ -1,9 +0,0 @@ -*.iml -.gradle -/local.properties -/.idea/* -.DS_Store -/build -/captures -.externalNativeBuild - diff --git a/deploy/android_demo/README.md b/deploy/android_demo/README.md deleted file mode 100644 index e35e7579..00000000 --- a/deploy/android_demo/README.md +++ /dev/null @@ -1,19 +0,0 @@ -# 如何快速测试 -### 1. 安装最新版本的Android Studio -可以从https://developer.android.com/studio 下载。本Demo使用是4.0版本Android Studio编写。 - -### 2. 按照NDK 20 以上版本 -Demo测试的时候使用的是NDK 20b版本，20版本以上均可以支持编译成功。 - -如果您是初学者，可以用以下方式安装和测试NDK编译环境。 -点击 File -> New ->New Project， 新建 "Native C++" project - -### 3. 导入项目 -点击 File->New->Import Project...， 然后跟着Android Studio的引导导入 - - -# 获得更多支持 -前往[端计算模型生成平台EasyEdge](https://ai.baidu.com/easyedge/app/open_source_demo?referrerUrl=paddlelite)，获得更多开发支持： - -- Demo APP：可使用手机扫码安装，方便手机端快速体验文字识别 -- SDK：模型被封装为适配不同芯片硬件和操作系统SDK，包括完善的接口，方便进行二次开发 diff --git a/deploy/android_demo/app/.gitignore b/deploy/android_demo/app/.gitignore deleted file mode 100644 index 796b96d1..00000000 --- a/deploy/android_demo/app/.gitignore +++ /dev/null @@ -1 +0,0 @@ -/build diff --git a/deploy/android_demo/app/build.gradle b/deploy/android_demo/app/build.gradle deleted file mode 100644 index 5ecb1169..00000000 --- a/deploy/android_demo/app/build.gradle +++ /dev/null @@ -1,94 +0,0 @@ -import java.security.MessageDigest - -apply plugin: 'com.android.application' - -android { - compileSdkVersion 29 - defaultConfig { - applicationId "com.baidu.paddle.lite.demo.ocr" - minSdkVersion 23 - targetSdkVersion 29 - versionCode 1 - versionName "1.0" - testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner" - externalNativeBuild { - cmake { - cppFlags "-std=c++11 -frtti -fexceptions -Wno-format" - arguments '-DANDROID_PLATFORM=android-23', '-DANDROID_STL=c++_shared' ,"-DANDROID_ARM_NEON=TRUE" - } - } - ndk { - // abiFilters "arm64-v8a", "armeabi-v7a" - abiFilters "arm64-v8a", "armeabi-v7a" - ldLibs "jnigraphics" - } - } - buildTypes { - release { - minifyEnabled false - proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro' - } - } - externalNativeBuild { - cmake { - path "src/main/cpp/CMakeLists.txt" - version "3.10.2" - } - } -} - -dependencies { - implementation fileTree(include: ['*.jar'], dir: 'libs') - implementation 'androidx.appcompat:appcompat:1.1.0' - implementation 'androidx.constraintlayout:constraintlayout:1.1.3' - testImplementation 'junit:junit:4.12' - androidTestImplementation 'com.android.support.test:runner:1.0.2' - androidTestImplementation 'com.android.support.test.espresso:espresso-core:3.0.2' -} - -def archives = [ - [ - 'src' : 'https://paddlelite-demo.bj.bcebos.com/libs/android/paddle_lite_libs_v2_6_1.tar.gz', - 'dest': 'PaddleLite' - ], - [ - 'src' : 'https://paddlelite-demo.bj.bcebos.com/libs/android/opencv-4.2.0-android-sdk.tar.gz', - 'dest': 'OpenCV' - ], - [ - 'src' : 'https://paddleocr.bj.bcebos.com/deploy/lite/ocr_v1_for_cpu.tar.gz', - 'dest' : 'src/main/assets/models/ocr_v1_for_cpu' - ] -] - -task downloadAndExtractArchives(type: DefaultTask) { - doFirst { - println "Downloading and extracting archives including libs and models" - } - doLast { - // Prepare cache folder for archives - String cachePath = "cache" - if (!file("${cachePath}").exists()) { - mkdir "${cachePath}" - } - archives.eachWithIndex { archive, index -> - MessageDigest messageDigest = MessageDigest.getInstance('MD5') - messageDigest.update(archive.src.bytes) - String cacheName = new BigInteger(1, messageDigest.digest()).toString(32) - // Download the target archive if not exists - boolean copyFiles = !file("${archive.dest}").exists() - if (!file("${cachePath}/${cacheName}.tar.gz").exists()) { - ant.get(src: archive.src, dest: file("${cachePath}/${cacheName}.tar.gz")) - copyFiles = true; // force to copy files from the latest archive files - } - // Extract the target archive if its dest path does not exists - if (copyFiles) { - copy { - from tarTree("${cachePath}/${cacheName}.tar.gz") - into "${archive.dest}" - } - } - } - } -} -preBuild.dependsOn downloadAndExtractArchives \ No newline at end of file diff --git a/deploy/android_demo/app/proguard-rules.pro b/deploy/android_demo/app/proguard-rules.pro deleted file mode 100644 index f1b42451..00000000 --- a/deploy/android_demo/app/proguard-rules.pro +++ /dev/null @@ -1,21 +0,0 @@ -# Add project specific ProGuard rules here. -# You can control the set of applied configuration files using the -# proguardFiles setting in build.gradle. -# -# For more details, see -# http://developer.android.com/guide/developing/tools/proguard.html - -# If your project uses WebView with JS, uncomment the following -# and specify the fully qualified class name to the JavaScript interface -# class: -#-keepclassmembers class fqcn.of.javascript.interface.for.webview { -# public *; -#} - -# Uncomment this to preserve the line number information for -# debugging stack traces. -#-keepattributes SourceFile,LineNumberTable - -# If you keep the line number information, uncomment this to -# hide the original source file name. -#-renamesourcefileattribute SourceFile diff --git a/deploy/android_demo/app/src/androidTest/java/com/baidu/paddle/lite/demo/ocr/ExampleInstrumentedTest.java b/deploy/android_demo/app/src/androidTest/java/com/baidu/paddle/lite/demo/ocr/ExampleInstrumentedTest.java deleted file mode 100644 index 77b179da..00000000 --- a/deploy/android_demo/app/src/androidTest/java/com/baidu/paddle/lite/demo/ocr/ExampleInstrumentedTest.java +++ /dev/null @@ -1,26 +0,0 @@ -package com.baidu.paddle.lite.demo.ocr; - -import android.content.Context; -import android.support.test.InstrumentationRegistry; -import android.support.test.runner.AndroidJUnit4; - -import org.junit.Test; -import org.junit.runner.RunWith; - -import static org.junit.Assert.*; - -/** - * Instrumented test, which will execute on an Android device. - * - * @see Testing documentation - */ -@RunWith(AndroidJUnit4.class) -public class ExampleInstrumentedTest { - @Test - public void useAppContext() { - // Context of the app under test. - Context appContext = InstrumentationRegistry.getTargetContext(); - - assertEquals("com.baidu.paddle.lite.demo", appContext.getPackageName()); - } -} diff --git a/deploy/android_demo/app/src/main/AndroidManifest.xml b/deploy/android_demo/app/src/main/AndroidManifest.xml deleted file 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-cmake_minimum_required(VERSION 3.4.1) - -# Creates and names a library, sets it as either STATIC or SHARED, and provides -# the relative paths to its source code. You can define multiple libraries, and -# CMake builds them for you. Gradle automatically packages shared libraries with -# your APK. - -set(PaddleLite_DIR "${CMAKE_CURRENT_SOURCE_DIR}/../../../PaddleLite") -include_directories(${PaddleLite_DIR}/cxx/include) - -set(OpenCV_DIR "${CMAKE_CURRENT_SOURCE_DIR}/../../../OpenCV/sdk/native/jni") -message(STATUS "opencv dir: ${OpenCV_DIR}") -find_package(OpenCV REQUIRED) -message(STATUS "OpenCV libraries: ${OpenCV_LIBS}") -include_directories(${OpenCV_INCLUDE_DIRS}) -aux_source_directory(. SOURCES) -set(CMAKE_CXX_FLAGS - "${CMAKE_CXX_FLAGS} -ffast-math -Ofast -Os" - ) -set(CMAKE_CXX_FLAGS - "${CMAKE_CXX_FLAGS} -fvisibility=hidden -fvisibility-inlines-hidden -fdata-sections -ffunction-sections" - ) -set(CMAKE_SHARED_LINKER_FLAGS - "${CMAKE_SHARED_LINKER_FLAGS} -Wl,--gc-sections -Wl,-z,nocopyreloc") - -add_library( - # Sets the name of the library. - Native - # Sets the library as a shared library. - SHARED - # Provides a relative path to your source file(s). - ${SOURCES}) - -find_library( - # Sets the name of the path variable. - log-lib - # Specifies the name of the NDK library that you want CMake to locate. - log) - -add_library( - # Sets the name of the library. - paddle_light_api_shared - # Sets the library as a shared library. - SHARED - # Provides a relative path to your source file(s). - IMPORTED) - -set_target_properties( - # Specifies the target library. - paddle_light_api_shared - # Specifies the parameter you want to define. - PROPERTIES - IMPORTED_LOCATION - ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libpaddle_light_api_shared.so - # Provides the path to the library you want to import. -) - - -# Specifies libraries CMake should link to your target library. You can link -# multiple libraries, such as libraries you define in this build script, -# prebuilt third-party libraries, or system libraries. - -target_link_libraries( - # Specifies the target library. - Native - paddle_light_api_shared - ${OpenCV_LIBS} - GLESv2 - EGL - jnigraphics - ${log-lib} -) - -add_custom_command( - TARGET Native - POST_BUILD - COMMAND - ${CMAKE_COMMAND} -E copy - ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libc++_shared.so - ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libc++_shared.so) - -add_custom_command( - TARGET Native - POST_BUILD - COMMAND - ${CMAKE_COMMAND} -E copy - ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libpaddle_light_api_shared.so - ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libpaddle_light_api_shared.so) - -add_custom_command( - TARGET Native - POST_BUILD - COMMAND - ${CMAKE_COMMAND} -E copy - ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libhiai.so - ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libhiai.so) - -add_custom_command( - TARGET Native - POST_BUILD - COMMAND - ${CMAKE_COMMAND} -E copy - ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libhiai_ir.so - ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libhiai_ir.so) - -add_custom_command( - TARGET Native - POST_BUILD - COMMAND - ${CMAKE_COMMAND} -E copy - ${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libhiai_ir_build.so - ${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libhiai_ir_build.so) \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/cpp/common.h b/deploy/android_demo/app/src/main/cpp/common.h deleted file mode 100644 index f3937e91..00000000 --- a/deploy/android_demo/app/src/main/cpp/common.h +++ /dev/null @@ -1,48 +0,0 @@ -// -// Created by fu on 4/25/18. -// - -#pragma once -#import -#import - -#ifdef __ANDROID__ - -#include - -#define LOG_TAG "OCR_NDK" - -#define LOGI(...) \ - __android_log_print(ANDROID_LOG_INFO, LOG_TAG, __VA_ARGS__) -#define LOGW(...) \ - __android_log_print(ANDROID_LOG_WARN, LOG_TAG, __VA_ARGS__) -#define LOGE(...) \ - __android_log_print(ANDROID_LOG_ERROR, LOG_TAG, __VA_ARGS__) -#else -#include -#define LOGI(format, ...) \ - fprintf(stdout, "[" LOG_TAG "]" format "\n", ##__VA_ARGS__) -#define LOGW(format, ...) \ - fprintf(stdout, "[" LOG_TAG "]" format "\n", ##__VA_ARGS__) -#define LOGE(format, ...) \ - fprintf(stderr, "[" LOG_TAG "]Error: " format "\n", ##__VA_ARGS__) -#endif - -enum RETURN_CODE { - RETURN_OK = 0 -}; - -enum NET_TYPE{ - NET_OCR = 900100, - NET_OCR_INTERNAL = 991008 -}; - - -template -inline T product(const std::vector &vec) { - if (vec.empty()){ - return 0; - } - return std::accumulate(vec.begin(), vec.end(), 1, std::multiplies()); -} - diff --git a/deploy/android_demo/app/src/main/cpp/native.cpp b/deploy/android_demo/app/src/main/cpp/native.cpp deleted file mode 100644 index 390c594d..00000000 --- a/deploy/android_demo/app/src/main/cpp/native.cpp +++ /dev/null @@ -1,115 +0,0 @@ -// -// Created by fujiayi on 2020/7/5. -// - -#include "native.h" -#include "ocr_ppredictor.h" -#include -#include -#include - -static paddle::lite_api::PowerMode str_to_cpu_mode(const std::string &cpu_mode); - -extern "C" -JNIEXPORT jlong JNICALL -Java_com_baidu_paddle_lite_demo_ocr_OCRPredictorNative_init(JNIEnv *env, jobject thiz, - jstring j_det_model_path, - jstring j_rec_model_path, - jint j_thread_num, - jstring j_cpu_mode) { - std::string det_model_path = jstring_to_cpp_string(env, j_det_model_path); - std::string rec_model_path = jstring_to_cpp_string(env, j_rec_model_path); - int thread_num = j_thread_num; - std::string cpu_mode = jstring_to_cpp_string(env, j_cpu_mode); - ppredictor::OCR_Config conf; - conf.thread_num = thread_num; - conf.mode = str_to_cpu_mode(cpu_mode); - ppredictor::OCR_PPredictor *orc_predictor = new ppredictor::OCR_PPredictor{conf}; - orc_predictor->init_from_file(det_model_path, rec_model_path); - return reinterpret_cast(orc_predictor); -} - -/** - * "LITE_POWER_HIGH" convert to paddle::lite_api::LITE_POWER_HIGH - * @param cpu_mode - * @return - */ -static paddle::lite_api::PowerMode str_to_cpu_mode(const std::string &cpu_mode) { - static std::map cpu_mode_map{ - {"LITE_POWER_HIGH", paddle::lite_api::LITE_POWER_HIGH}, - {"LITE_POWER_LOW", paddle::lite_api::LITE_POWER_HIGH}, - {"LITE_POWER_FULL", paddle::lite_api::LITE_POWER_FULL}, - {"LITE_POWER_NO_BIND", paddle::lite_api::LITE_POWER_NO_BIND}, - {"LITE_POWER_RAND_HIGH", paddle::lite_api::LITE_POWER_RAND_HIGH}, - {"LITE_POWER_RAND_LOW", paddle::lite_api::LITE_POWER_RAND_LOW} - }; - std::string upper_key; - std::transform(cpu_mode.cbegin(), cpu_mode.cend(), upper_key.begin(), ::toupper); - auto index = cpu_mode_map.find(upper_key); - if (index == cpu_mode_map.end()) { - LOGE("cpu_mode not found %s", upper_key.c_str()); - return paddle::lite_api::LITE_POWER_HIGH; - } else { - return index->second; - } - -} - -extern "C" -JNIEXPORT jfloatArray JNICALL -Java_com_baidu_paddle_lite_demo_ocr_OCRPredictorNative_forward(JNIEnv *env, jobject thiz, - jlong java_pointer, jfloatArray buf, - jfloatArray ddims, - jobject original_image) { - LOGI("begin to run native forward"); - if (java_pointer == 0) { - LOGE("JAVA pointer is NULL"); - return cpp_array_to_jfloatarray(env, nullptr, 0); - } - cv::Mat origin = bitmap_to_cv_mat(env, original_image); - if (origin.size == 0) { - LOGE("origin bitmap cannot convert to CV Mat"); - return cpp_array_to_jfloatarray(env, nullptr, 0); - } - ppredictor::OCR_PPredictor *ppredictor = (ppredictor::OCR_PPredictor *) java_pointer; - std::vector dims_float_arr = jfloatarray_to_float_vector(env, ddims); - std::vector dims_arr; - dims_arr.resize(dims_float_arr.size()); - std::copy(dims_float_arr.cbegin(), dims_float_arr.cend(), dims_arr.begin()); - - // 这里值有点大，就不调用jfloatarray_to_float_vector了 - int64_t buf_len = (int64_t) env->GetArrayLength(buf); - jfloat *buf_data = env->GetFloatArrayElements(buf, JNI_FALSE); - float *data = (jfloat *) buf_data; - std::vector results = ppredictor->infer_ocr(dims_arr, data, - buf_len, - NET_OCR, origin); - LOGI("infer_ocr finished with boxes %ld", results.size()); - // 这里将std::vector 序列化成 float数组，传输到java层再反序列化 - std::vector float_arr; - for (const ppredictor::OCRPredictResult &r :results) { - float_arr.push_back(r.points.size()); - float_arr.push_back(r.word_index.size()); - float_arr.push_back(r.score); - for (const std::vector &point : r.points) { - float_arr.push_back(point.at(0)); - float_arr.push_back(point.at(1)); - } - for (int index: r.word_index) { - float_arr.push_back(index); - } - } - return cpp_array_to_jfloatarray(env, float_arr.data(), float_arr.size()); -} - -extern "C" -JNIEXPORT void JNICALL -Java_com_baidu_paddle_lite_demo_ocr_OCRPredictorNative_release(JNIEnv *env, jobject thiz, - jlong java_pointer){ - if (java_pointer == 0) { - LOGE("JAVA pointer is NULL"); - return; - } - ppredictor::OCR_PPredictor *ppredictor = (ppredictor::OCR_PPredictor *) java_pointer; - delete ppredictor; -} \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/cpp/native.h b/deploy/android_demo/app/src/main/cpp/native.h deleted file mode 100644 index 1ef6d949..00000000 --- a/deploy/android_demo/app/src/main/cpp/native.h +++ /dev/null @@ -1,138 +0,0 @@ -// -// Created by fujiayi on 2020/7/5. -// - -#pragma once - - -#include -#include -#include -#include -#include -#include "common.h" - -inline std::string jstring_to_cpp_string(JNIEnv *env, jstring jstr) { - // In java, a unicode char will be encoded using 2 bytes (utf16). - // so jstring will contain characters utf16. std::string in c++ is - // essentially a string of bytes, not characters, so if we want to - // pass jstring from JNI to c++, we have convert utf16 to bytes. - if (!jstr) { - return ""; - } - const jclass stringClass = env->GetObjectClass(jstr); - const jmethodID getBytes = - env->GetMethodID(stringClass, "getBytes", "(Ljava/lang/String;)[B"); - const jbyteArray stringJbytes = (jbyteArray) env->CallObjectMethod( - jstr, getBytes, env->NewStringUTF("UTF-8")); - - size_t length = (size_t) env->GetArrayLength(stringJbytes); - jbyte *pBytes = env->GetByteArrayElements(stringJbytes, NULL); - - std::string ret = std::string(reinterpret_cast(pBytes), length); - env->ReleaseByteArrayElements(stringJbytes, pBytes, JNI_ABORT); - - env->DeleteLocalRef(stringJbytes); - env->DeleteLocalRef(stringClass); - return ret; -} - -inline jstring cpp_string_to_jstring(JNIEnv *env, std::string str) { - auto *data = str.c_str(); - jclass strClass = env->FindClass("java/lang/String"); - jmethodID strClassInitMethodID = - env->GetMethodID(strClass, "", "([BLjava/lang/String;)V"); - - jbyteArray bytes = env->NewByteArray(strlen(data)); - env->SetByteArrayRegion(bytes, 0, strlen(data), - reinterpret_cast(data)); - - jstring encoding = env->NewStringUTF("UTF-8"); - jstring res = (jstring) ( - env->NewObject(strClass, strClassInitMethodID, bytes, encoding)); - - env->DeleteLocalRef(strClass); - env->DeleteLocalRef(encoding); - env->DeleteLocalRef(bytes); - - return res; -} - -inline jfloatArray cpp_array_to_jfloatarray(JNIEnv *env, const float *buf, - int64_t len) { - if (len == 0) { - return env->NewFloatArray(0); - } - jfloatArray result = env->NewFloatArray(len); - env->SetFloatArrayRegion(result, 0, len, buf); - return result; -} - -inline jintArray cpp_array_to_jintarray(JNIEnv *env, const int *buf, - int64_t len) { - jintArray result = env->NewIntArray(len); - env->SetIntArrayRegion(result, 0, len, buf); - return result; -} - -inline jbyteArray cpp_array_to_jbytearray(JNIEnv *env, const int8_t *buf, - int64_t len) { - jbyteArray result = env->NewByteArray(len); - env->SetByteArrayRegion(result, 0, len, buf); - return result; -} - -inline jlongArray int64_vector_to_jlongarray(JNIEnv *env, - const std::vector &vec) { - jlongArray result = env->NewLongArray(vec.size()); - jlong *buf = new jlong[vec.size()]; - for (size_t i = 0; i < vec.size(); ++i) { - buf[i] = (jlong) vec[i]; - } - env->SetLongArrayRegion(result, 0, vec.size(), buf); - delete[] buf; - return result; -} - -inline std::vector jlongarray_to_int64_vector(JNIEnv *env, - jlongArray data) { - int data_size = env->GetArrayLength(data); - jlong *data_ptr = env->GetLongArrayElements(data, nullptr); - std::vector data_vec(data_ptr, data_ptr + data_size); - env->ReleaseLongArrayElements(data, data_ptr, 0); - return data_vec; -} - -inline std::vector jfloatarray_to_float_vector(JNIEnv *env, - jfloatArray data) { - int data_size = env->GetArrayLength(data); - jfloat *data_ptr = env->GetFloatArrayElements(data, nullptr); - std::vector data_vec(data_ptr, data_ptr + data_size); - env->ReleaseFloatArrayElements(data, data_ptr, 0); - return data_vec; -} - -inline cv::Mat bitmap_to_cv_mat(JNIEnv *env, jobject bitmap) { - AndroidBitmapInfo info; - int result = AndroidBitmap_getInfo(env, bitmap, &info); - if (result != ANDROID_BITMAP_RESULT_SUCCESS) { - LOGE("AndroidBitmap_getInfo failed, result: %d", result); - return cv::Mat{}; - } - if (info.format != ANDROID_BITMAP_FORMAT_RGBA_8888) { - LOGE("Bitmap format is not RGBA_8888 !"); - return cv::Mat{}; - } - unsigned char *srcData = NULL; - AndroidBitmap_lockPixels(env, bitmap, (void **) &srcData); - cv::Mat mat = cv::Mat::zeros(info.height, info.width, CV_8UC4); - memcpy(mat.data, srcData, info.height * info.width * 4); - AndroidBitmap_unlockPixels(env, bitmap); - cv::cvtColor(mat, mat, cv::COLOR_RGBA2BGR); - /** - if (!cv::imwrite("/sdcard/1/copy.jpg", mat)){ - LOGE("Write image failed " ); - } - */ - return mat; -} diff --git a/deploy/android_demo/app/src/main/cpp/ocr_clipper.cpp b/deploy/android_demo/app/src/main/cpp/ocr_clipper.cpp deleted file mode 100644 index d5db3472..00000000 --- a/deploy/android_demo/app/src/main/cpp/ocr_clipper.cpp +++ /dev/null @@ -1,4629 +0,0 @@ -/******************************************************************************* -* * -* Author : Angus Johnson * -* Version : 6.4.2 * -* Date : 27 February 2017 * -* Website : http://www.angusj.com * -* Copyright : Angus Johnson 2010-2017 * -* * -* License: * -* Use, modification & distribution is subject to Boost Software License Ver 1. * -* http://www.boost.org/LICENSE_1_0.txt * -* * -* Attributions: * -* The code in this library is an extension of Bala Vatti's clipping algorithm: * -* "A generic solution to polygon clipping" * -* Communications of the ACM, Vol 35, Issue 7 (July 1992) pp 56-63. * -* http://portal.acm.org/citation.cfm?id=129906 * -* * -* Computer graphics and geometric modeling: implementation and algorithms * -* By Max K. Agoston * -* Springer; 1 edition (January 4, 2005) * -* http://books.google.com/books?q=vatti+clipping+agoston * -* * -* See also: * -* "Polygon Offsetting by Computing Winding Numbers" * -* Paper no. DETC2005-85513 pp. 565-575 * -* ASME 2005 International Design Engineering Technical Conferences * -* and Computers and Information in Engineering Conference (IDETC/CIE2005) * -* September 24-28, 2005 , Long Beach, California, USA * -* http://www.me.berkeley.edu/~mcmains/pubs/DAC05OffsetPolygon.pdf * -* * -*******************************************************************************/ - -/******************************************************************************* -* * -* This is a translation of the Delphi Clipper library and the naming style * -* used has retained a Delphi flavour. * -* * -*******************************************************************************/ - -#include "ocr_clipper.hpp" -#include -#include -#include -#include -#include -#include -#include -#include - -namespace ClipperLib { - -static double const pi = 3.141592653589793238; -static double const two_pi = pi *2; -static double const def_arc_tolerance = 0.25; - -enum Direction { dRightToLeft, dLeftToRight }; - -static int const Unassigned = -1; //edge not currently 'owning' a solution -static int const Skip = -2; //edge that would otherwise close a path - -#define HORIZONTAL (-1.0E+40) -#define TOLERANCE (1.0e-20) -#define NEAR_ZERO(val) (((val) > -TOLERANCE) && ((val) < TOLERANCE)) - -struct TEdge { - IntPoint Bot; - IntPoint Curr; //current (updated for every new scanbeam) - IntPoint Top; - double Dx; - PolyType PolyTyp; - EdgeSide Side; //side only refers to current side of solution poly - int WindDelta; //1 or -1 depending on winding direction - int WindCnt; - int WindCnt2; //winding count of the opposite polytype - int OutIdx; - TEdge *Next; - TEdge *Prev; - TEdge *NextInLML; - TEdge *NextInAEL; - TEdge *PrevInAEL; - TEdge *NextInSEL; - TEdge *PrevInSEL; -}; - -struct IntersectNode { - TEdge *Edge1; - TEdge *Edge2; - IntPoint Pt; -}; - -struct LocalMinimum { - cInt Y; - TEdge *LeftBound; - TEdge *RightBound; -}; - -struct OutPt; - -//OutRec: contains a path in the clipping solution. Edges in the AEL will -//carry a pointer to an OutRec when they are part of the clipping solution. -struct OutRec { - int Idx; - bool IsHole; - bool IsOpen; - OutRec *FirstLeft; //see comments in clipper.pas - PolyNode *PolyNd; - OutPt *Pts; - OutPt *BottomPt; -}; - -struct OutPt { - int Idx; - IntPoint Pt; - OutPt *Next; - OutPt *Prev; -}; - -struct Join { - OutPt *OutPt1; - OutPt *OutPt2; - IntPoint OffPt; -}; - -struct LocMinSorter -{ - inline bool operator()(const LocalMinimum& locMin1, const LocalMinimum& locMin2) - { - return locMin2.Y < locMin1.Y; - } -}; - -//------------------------------------------------------------------------------ -//------------------------------------------------------------------------------ - -inline cInt Round(double val) -{ - if ((val < 0)) return static_cast(val - 0.5); - else return static_cast(val + 0.5); -} -//------------------------------------------------------------------------------ - -inline cInt Abs(cInt val) -{ - return val < 0 ? -val : val; -} - -//------------------------------------------------------------------------------ -// PolyTree methods ... -//------------------------------------------------------------------------------ - -void PolyTree::Clear() -{ - for (PolyNodes::size_type i = 0; i < AllNodes.size(); ++i) - delete AllNodes[i]; - AllNodes.resize(0); - Childs.resize(0); -} -//------------------------------------------------------------------------------ - -PolyNode* PolyTree::GetFirst() const -{ - if (!Childs.empty()) - return Childs[0]; - else - return 0; -} -//------------------------------------------------------------------------------ - -int PolyTree::Total() const -{ - int result = (int)AllNodes.size(); - //with negative offsets, ignore the hidden outer polygon ... - if (result > 0 && Childs[0] != AllNodes[0]) result--; - return result; -} - -//------------------------------------------------------------------------------ -// PolyNode methods ... -//------------------------------------------------------------------------------ - -PolyNode::PolyNode(): Parent(0), Index(0), m_IsOpen(false) -{ -} -//------------------------------------------------------------------------------ - -int PolyNode::ChildCount() const -{ - return (int)Childs.size(); -} -//------------------------------------------------------------------------------ - -void PolyNode::AddChild(PolyNode& child) -{ - unsigned cnt = (unsigned)Childs.size(); - Childs.push_back(&child); - child.Parent = this; - child.Index = cnt; -} -//------------------------------------------------------------------------------ - -PolyNode* PolyNode::GetNext() const -{ - if (!Childs.empty()) - return Childs[0]; - else - return GetNextSiblingUp(); -} -//------------------------------------------------------------------------------ - -PolyNode* PolyNode::GetNextSiblingUp() const -{ - if (!Parent) //protects against PolyTree.GetNextSiblingUp() - return 0; - else if (Index == Parent->Childs.size() - 1) - return Parent->GetNextSiblingUp(); - else - return Parent->Childs[Index + 1]; -} -//------------------------------------------------------------------------------ - -bool PolyNode::IsHole() const -{ - bool result = true; - PolyNode* node = Parent; - while (node) - { - result = !result; - node = node->Parent; - } - return result; -} -//------------------------------------------------------------------------------ - -bool PolyNode::IsOpen() const -{ - return m_IsOpen; -} -//------------------------------------------------------------------------------ - -#ifndef use_int32 - -//------------------------------------------------------------------------------ -// Int128 class (enables safe math on signed 64bit integers) -// eg Int128 val1((long64)9223372036854775807); //ie 2^63 -1 -// Int128 val2((long64)9223372036854775807); -// Int128 val3 = val1 * val2; -// val3.AsString => "85070591730234615847396907784232501249" (8.5e+37) -//------------------------------------------------------------------------------ - -class Int128 -{ - public: - ulong64 lo; - long64 hi; - - Int128(long64 _lo = 0) - { - lo = (ulong64)_lo; - if (_lo < 0) hi = -1; else hi = 0; - } - - - Int128(const Int128 &val): lo(val.lo), hi(val.hi){} - - Int128(const long64& _hi, const ulong64& _lo): lo(_lo), hi(_hi){} - - Int128& operator = (const long64 &val) - { - lo = (ulong64)val; - if (val < 0) hi = -1; else hi = 0; - return *this; - } - - bool operator == (const Int128 &val) const - {return (hi == val.hi && lo == val.lo);} - - bool operator != (const Int128 &val) const - { return !(*this == val);} - - bool operator > (const Int128 &val) const - { - if (hi != val.hi) - return hi > val.hi; - else - return lo > val.lo; - } - - bool operator < (const Int128 &val) const - { - if (hi != val.hi) - return hi < val.hi; - else - return lo < val.lo; - } - - bool operator >= (const Int128 &val) const - { return !(*this < val);} - - bool operator <= (const Int128 &val) const - { return !(*this > val);} - - Int128& operator += (const Int128 &rhs) - { - hi += rhs.hi; - lo += rhs.lo; - if (lo < rhs.lo) hi++; - return *this; - } - - Int128 operator + (const Int128 &rhs) const - { - Int128 result(*this); - result+= rhs; - return result; - } - - Int128& operator -= (const Int128 &rhs) - { - *this += -rhs; - return *this; - } - - Int128 operator - (const Int128 &rhs) const - { - Int128 result(*this); - result -= rhs; - return result; - } - - Int128 operator-() const //unary negation - { - if (lo == 0) - return Int128(-hi, 0); - else - return Int128(~hi, ~lo + 1); - } - - operator double() const - { - const double shift64 = 18446744073709551616.0; //2^64 - if (hi < 0) - { - if (lo == 0) return (double)hi * shift64; - else return -(double)(~lo + ~hi * shift64); - } - else - return (double)(lo + hi * shift64); - } - -}; -//------------------------------------------------------------------------------ - -Int128 Int128Mul (long64 lhs, long64 rhs) -{ - bool negate = (lhs < 0) != (rhs < 0); - - if (lhs < 0) lhs = -lhs; - ulong64 int1Hi = ulong64(lhs) >> 32; - ulong64 int1Lo = ulong64(lhs & 0xFFFFFFFF); - - if (rhs < 0) rhs = -rhs; - ulong64 int2Hi = ulong64(rhs) >> 32; - ulong64 int2Lo = ulong64(rhs & 0xFFFFFFFF); - - //nb: see comments in clipper.pas - ulong64 a = int1Hi * int2Hi; - ulong64 b = int1Lo * int2Lo; - ulong64 c = int1Hi * int2Lo + int1Lo * int2Hi; - - Int128 tmp; - tmp.hi = long64(a + (c >> 32)); - tmp.lo = long64(c << 32); - tmp.lo += long64(b); - if (tmp.lo < b) tmp.hi++; - if (negate) tmp = -tmp; - return tmp; -}; -#endif - -//------------------------------------------------------------------------------ -// Miscellaneous global functions -//------------------------------------------------------------------------------ - -bool Orientation(const Path &poly) -{ - return Area(poly) >= 0; -} -//------------------------------------------------------------------------------ - -double Area(const Path &poly) -{ - int size = (int)poly.size(); - if (size < 3) return 0; - - double a = 0; - for (int i = 0, j = size -1; i < size; ++i) - { - a += ((double)poly[j].X + poly[i].X) * ((double)poly[j].Y - poly[i].Y); - j = i; - } - return -a * 0.5; -} -//------------------------------------------------------------------------------ - -double Area(const OutPt *op) -{ - const OutPt *startOp = op; - if (!op) return 0; - double a = 0; - do { - a += (double)(op->Prev->Pt.X + op->Pt.X) * (double)(op->Prev->Pt.Y - op->Pt.Y); - op = op->Next; - } while (op != startOp); - return a * 0.5; -} -//------------------------------------------------------------------------------ - -double Area(const OutRec &outRec) -{ - return Area(outRec.Pts); -} -//------------------------------------------------------------------------------ - -bool PointIsVertex(const IntPoint &Pt, OutPt *pp) -{ - OutPt *pp2 = pp; - do - { - if (pp2->Pt == Pt) return true; - pp2 = pp2->Next; - } - while (pp2 != pp); - return false; -} -//------------------------------------------------------------------------------ - -//See "The Point in Polygon Problem for Arbitrary Polygons" by Hormann & Agathos -//http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.88.5498&rep=rep1&type=pdf -int PointInPolygon(const IntPoint &pt, const Path &path) -{ - //returns 0 if false, +1 if true, -1 if pt ON polygon boundary - int result = 0; - size_t cnt = path.size(); - if (cnt < 3) return 0; - IntPoint ip = path[0]; - for(size_t i = 1; i <= cnt; ++i) - { - IntPoint ipNext = (i == cnt ? path[0] : path[i]); - if (ipNext.Y == pt.Y) - { - if ((ipNext.X == pt.X) || (ip.Y == pt.Y && - ((ipNext.X > pt.X) == (ip.X < pt.X)))) return -1; - } - if ((ip.Y < pt.Y) != (ipNext.Y < pt.Y)) - { - if (ip.X >= pt.X) - { - if (ipNext.X > pt.X) result = 1 - result; - else - { - double d = (double)(ip.X - pt.X) * (ipNext.Y - pt.Y) - - (double)(ipNext.X - pt.X) * (ip.Y - pt.Y); - if (!d) return -1; - if ((d > 0) == (ipNext.Y > ip.Y)) result = 1 - result; - } - } else - { - if (ipNext.X > pt.X) - { - double d = (double)(ip.X - pt.X) * (ipNext.Y - pt.Y) - - (double)(ipNext.X - pt.X) * (ip.Y - pt.Y); - if (!d) return -1; - if ((d > 0) == (ipNext.Y > ip.Y)) result = 1 - result; - } - } - } - ip = ipNext; - } - return result; -} -//------------------------------------------------------------------------------ - -int PointInPolygon (const IntPoint &pt, OutPt *op) -{ - //returns 0 if false, +1 if true, -1 if pt ON polygon boundary - int result = 0; - OutPt* startOp = op; - for(;;) - { - if (op->Next->Pt.Y == pt.Y) - { - if ((op->Next->Pt.X == pt.X) || (op->Pt.Y == pt.Y && - ((op->Next->Pt.X > pt.X) == (op->Pt.X < pt.X)))) return -1; - } - if ((op->Pt.Y < pt.Y) != (op->Next->Pt.Y < pt.Y)) - { - if (op->Pt.X >= pt.X) - { - if (op->Next->Pt.X > pt.X) result = 1 - result; - else - { - double d = (double)(op->Pt.X - pt.X) * (op->Next->Pt.Y - pt.Y) - - (double)(op->Next->Pt.X - pt.X) * (op->Pt.Y - pt.Y); - if (!d) return -1; - if ((d > 0) == (op->Next->Pt.Y > op->Pt.Y)) result = 1 - result; - } - } else - { - if (op->Next->Pt.X > pt.X) - { - double d = (double)(op->Pt.X - pt.X) * (op->Next->Pt.Y - pt.Y) - - (double)(op->Next->Pt.X - pt.X) * (op->Pt.Y - pt.Y); - if (!d) return -1; - if ((d > 0) == (op->Next->Pt.Y > op->Pt.Y)) result = 1 - result; - } - } - } - op = op->Next; - if (startOp == op) break; - } - return result; -} -//------------------------------------------------------------------------------ - -bool Poly2ContainsPoly1(OutPt *OutPt1, OutPt *OutPt2) -{ - OutPt* op = OutPt1; - do - { - //nb: PointInPolygon returns 0 if false, +1 if true, -1 if pt on polygon - int res = PointInPolygon(op->Pt, OutPt2); - if (res >= 0) return res > 0; - op = op->Next; - } - while (op != OutPt1); - return true; -} -//---------------------------------------------------------------------- - -bool SlopesEqual(const TEdge &e1, const TEdge &e2, bool UseFullInt64Range) -{ -#ifndef use_int32 - if (UseFullInt64Range) - return Int128Mul(e1.Top.Y - e1.Bot.Y, e2.Top.X - e2.Bot.X) == - Int128Mul(e1.Top.X - e1.Bot.X, e2.Top.Y - e2.Bot.Y); - else -#endif - return (e1.Top.Y - e1.Bot.Y) * (e2.Top.X - e2.Bot.X) == - (e1.Top.X - e1.Bot.X) * (e2.Top.Y - e2.Bot.Y); -} -//------------------------------------------------------------------------------ - -bool SlopesEqual(const IntPoint pt1, const IntPoint pt2, - const IntPoint pt3, bool UseFullInt64Range) -{ -#ifndef use_int32 - if (UseFullInt64Range) - return Int128Mul(pt1.Y-pt2.Y, pt2.X-pt3.X) == Int128Mul(pt1.X-pt2.X, pt2.Y-pt3.Y); - else -#endif - return (pt1.Y-pt2.Y)*(pt2.X-pt3.X) == (pt1.X-pt2.X)*(pt2.Y-pt3.Y); -} -//------------------------------------------------------------------------------ - -bool SlopesEqual(const IntPoint pt1, const IntPoint pt2, - const IntPoint pt3, const IntPoint pt4, bool UseFullInt64Range) -{ -#ifndef use_int32 - if (UseFullInt64Range) - return Int128Mul(pt1.Y-pt2.Y, pt3.X-pt4.X) == Int128Mul(pt1.X-pt2.X, pt3.Y-pt4.Y); - else -#endif - return (pt1.Y-pt2.Y)*(pt3.X-pt4.X) == (pt1.X-pt2.X)*(pt3.Y-pt4.Y); -} -//------------------------------------------------------------------------------ - -inline bool IsHorizontal(TEdge &e) -{ - return e.Dx == HORIZONTAL; -} -//------------------------------------------------------------------------------ - -inline double GetDx(const IntPoint pt1, const IntPoint pt2) -{ - return (pt1.Y == pt2.Y) ? - HORIZONTAL : (double)(pt2.X - pt1.X) / (pt2.Y - pt1.Y); -} -//--------------------------------------------------------------------------- - -inline void SetDx(TEdge &e) -{ - cInt dy = (e.Top.Y - e.Bot.Y); - if (dy == 0) e.Dx = HORIZONTAL; - else e.Dx = (double)(e.Top.X - e.Bot.X) / dy; -} -//--------------------------------------------------------------------------- - -inline void SwapSides(TEdge &Edge1, TEdge &Edge2) -{ - EdgeSide Side = Edge1.Side; - Edge1.Side = Edge2.Side; - Edge2.Side = Side; -} -//------------------------------------------------------------------------------ - -inline void SwapPolyIndexes(TEdge &Edge1, TEdge &Edge2) -{ - int OutIdx = Edge1.OutIdx; - Edge1.OutIdx = Edge2.OutIdx; - Edge2.OutIdx = OutIdx; -} -//------------------------------------------------------------------------------ - -inline cInt TopX(TEdge &edge, const cInt currentY) -{ - return ( currentY == edge.Top.Y ) ? - edge.Top.X : edge.Bot.X + Round(edge.Dx *(currentY - edge.Bot.Y)); -} -//------------------------------------------------------------------------------ - -void IntersectPoint(TEdge &Edge1, TEdge &Edge2, IntPoint &ip) -{ -#ifdef use_xyz - ip.Z = 0; -#endif - - double b1, b2; - if (Edge1.Dx == Edge2.Dx) - { - ip.Y = Edge1.Curr.Y; - ip.X = TopX(Edge1, ip.Y); - return; - } - else if (Edge1.Dx == 0) - { - ip.X = Edge1.Bot.X; - if (IsHorizontal(Edge2)) - ip.Y = Edge2.Bot.Y; - else - { - b2 = Edge2.Bot.Y - (Edge2.Bot.X / Edge2.Dx); - ip.Y = Round(ip.X / Edge2.Dx + b2); - } - } - else if (Edge2.Dx == 0) - { - ip.X = Edge2.Bot.X; - if (IsHorizontal(Edge1)) - ip.Y = Edge1.Bot.Y; - else - { - b1 = Edge1.Bot.Y - (Edge1.Bot.X / Edge1.Dx); - ip.Y = Round(ip.X / Edge1.Dx + b1); - } - } - else - { - b1 = Edge1.Bot.X - Edge1.Bot.Y * Edge1.Dx; - b2 = Edge2.Bot.X - Edge2.Bot.Y * Edge2.Dx; - double q = (b2-b1) / (Edge1.Dx - Edge2.Dx); - ip.Y = Round(q); - if (std::fabs(Edge1.Dx) < std::fabs(Edge2.Dx)) - ip.X = Round(Edge1.Dx * q + b1); - else - ip.X = Round(Edge2.Dx * q + b2); - } - - if (ip.Y < Edge1.Top.Y || ip.Y < Edge2.Top.Y) - { - if (Edge1.Top.Y > Edge2.Top.Y) - ip.Y = Edge1.Top.Y; - else - ip.Y = Edge2.Top.Y; - if (std::fabs(Edge1.Dx) < std::fabs(Edge2.Dx)) - ip.X = TopX(Edge1, ip.Y); - else - ip.X = TopX(Edge2, ip.Y); - } - //finally, don't allow 'ip' to be BELOW curr.Y (ie bottom of scanbeam) ... - if (ip.Y > Edge1.Curr.Y) - { - ip.Y = Edge1.Curr.Y; - //use the more vertical edge to derive X ... - if (std::fabs(Edge1.Dx) > std::fabs(Edge2.Dx)) - ip.X = TopX(Edge2, ip.Y); else - ip.X = TopX(Edge1, ip.Y); - } -} -//------------------------------------------------------------------------------ - -void ReversePolyPtLinks(OutPt *pp) -{ - if (!pp) return; - OutPt *pp1, *pp2; - pp1 = pp; - do { - pp2 = pp1->Next; - pp1->Next = pp1->Prev; - pp1->Prev = pp2; - pp1 = pp2; - } while( pp1 != pp ); -} -//------------------------------------------------------------------------------ - -void DisposeOutPts(OutPt*& pp) -{ - if (pp == 0) return; - pp->Prev->Next = 0; - while( pp ) - { - OutPt *tmpPp = pp; - pp = pp->Next; - delete tmpPp; - } -} -//------------------------------------------------------------------------------ - -inline void InitEdge(TEdge* e, TEdge* eNext, TEdge* ePrev, const IntPoint& Pt) -{ - std::memset(e, 0, sizeof(TEdge)); - e->Next = eNext; - e->Prev = ePrev; - e->Curr = Pt; - e->OutIdx = Unassigned; -} -//------------------------------------------------------------------------------ - -void InitEdge2(TEdge& e, PolyType Pt) -{ - if (e.Curr.Y >= e.Next->Curr.Y) - { - e.Bot = e.Curr; - e.Top = e.Next->Curr; - } else - { - e.Top = e.Curr; - e.Bot = e.Next->Curr; - } - SetDx(e); - e.PolyTyp = Pt; -} -//------------------------------------------------------------------------------ - -TEdge* RemoveEdge(TEdge* e) -{ - //removes e from double_linked_list (but without removing from memory) - e->Prev->Next = e->Next; - e->Next->Prev = e->Prev; - TEdge* result = e->Next; - e->Prev = 0; //flag as removed (see ClipperBase.Clear) - return result; -} -//------------------------------------------------------------------------------ - -inline void ReverseHorizontal(TEdge &e) -{ - //swap horizontal edges' Top and Bottom x's so they follow the natural - //progression of the bounds - ie so their xbots will align with the - //adjoining lower edge. [Helpful in the ProcessHorizontal() method.] - std::swap(e.Top.X, e.Bot.X); -#ifdef use_xyz - std::swap(e.Top.Z, e.Bot.Z); -#endif -} -//------------------------------------------------------------------------------ - -void SwapPoints(IntPoint &pt1, IntPoint &pt2) -{ - IntPoint tmp = pt1; - pt1 = pt2; - pt2 = tmp; -} -//------------------------------------------------------------------------------ - -bool GetOverlapSegment(IntPoint pt1a, IntPoint pt1b, IntPoint pt2a, - IntPoint pt2b, IntPoint &pt1, IntPoint &pt2) -{ - //precondition: segments are Collinear. - if (Abs(pt1a.X - pt1b.X) > Abs(pt1a.Y - pt1b.Y)) - { - if (pt1a.X > pt1b.X) SwapPoints(pt1a, pt1b); - if (pt2a.X > pt2b.X) SwapPoints(pt2a, pt2b); - if (pt1a.X > pt2a.X) pt1 = pt1a; else pt1 = pt2a; - if (pt1b.X < pt2b.X) pt2 = pt1b; else pt2 = pt2b; - return pt1.X < pt2.X; - } else - { - if (pt1a.Y < pt1b.Y) SwapPoints(pt1a, pt1b); - if (pt2a.Y < pt2b.Y) SwapPoints(pt2a, pt2b); - if (pt1a.Y < pt2a.Y) pt1 = pt1a; else pt1 = pt2a; - if (pt1b.Y > pt2b.Y) pt2 = pt1b; else pt2 = pt2b; - return pt1.Y > pt2.Y; - } -} -//------------------------------------------------------------------------------ - -bool FirstIsBottomPt(const OutPt* btmPt1, const OutPt* btmPt2) -{ - OutPt *p = btmPt1->Prev; - while ((p->Pt == btmPt1->Pt) && (p != btmPt1)) p = p->Prev; - double dx1p = std::fabs(GetDx(btmPt1->Pt, p->Pt)); - p = btmPt1->Next; - while ((p->Pt == btmPt1->Pt) && (p != btmPt1)) p = p->Next; - double dx1n = std::fabs(GetDx(btmPt1->Pt, p->Pt)); - - p = btmPt2->Prev; - while ((p->Pt == btmPt2->Pt) && (p != btmPt2)) p = p->Prev; - double dx2p = std::fabs(GetDx(btmPt2->Pt, p->Pt)); - p = btmPt2->Next; - while ((p->Pt == btmPt2->Pt) && (p != btmPt2)) p = p->Next; - double dx2n = std::fabs(GetDx(btmPt2->Pt, p->Pt)); - - if (std::max(dx1p, dx1n) == std::max(dx2p, dx2n) && - std::min(dx1p, dx1n) == std::min(dx2p, dx2n)) - return Area(btmPt1) > 0; //if otherwise identical use orientation - else - return (dx1p >= dx2p && dx1p >= dx2n) || (dx1n >= dx2p && dx1n >= dx2n); -} -//------------------------------------------------------------------------------ - -OutPt* GetBottomPt(OutPt *pp) -{ - OutPt* dups = 0; - OutPt* p = pp->Next; - while (p != pp) - { - if (p->Pt.Y > pp->Pt.Y) - { - pp = p; - dups = 0; - } - else if (p->Pt.Y == pp->Pt.Y && p->Pt.X <= pp->Pt.X) - { - if (p->Pt.X < pp->Pt.X) - { - dups = 0; - pp = p; - } else - { - if (p->Next != pp && p->Prev != pp) dups = p; - } - } - p = p->Next; - } - if (dups) - { - //there appears to be at least 2 vertices at BottomPt so ... - while (dups != p) - { - if (!FirstIsBottomPt(p, dups)) pp = dups; - dups = dups->Next; - while (dups->Pt != pp->Pt) dups = dups->Next; - } - } - return pp; -} -//------------------------------------------------------------------------------ - -bool Pt2IsBetweenPt1AndPt3(const IntPoint pt1, - const IntPoint pt2, const IntPoint pt3) -{ - if ((pt1 == pt3) || (pt1 == pt2) || (pt3 == pt2)) - return false; - else if (pt1.X != pt3.X) - return (pt2.X > pt1.X) == (pt2.X < pt3.X); - else - return (pt2.Y > pt1.Y) == (pt2.Y < pt3.Y); -} -//------------------------------------------------------------------------------ - -bool HorzSegmentsOverlap(cInt seg1a, cInt seg1b, cInt seg2a, cInt seg2b) -{ - if (seg1a > seg1b) std::swap(seg1a, seg1b); - if (seg2a > seg2b) std::swap(seg2a, seg2b); - return (seg1a < seg2b) && (seg2a < seg1b); -} - -//------------------------------------------------------------------------------ -// ClipperBase class methods ... -//------------------------------------------------------------------------------ - -ClipperBase::ClipperBase() //constructor -{ - m_CurrentLM = m_MinimaList.begin(); //begin() == end() here - m_UseFullRange = false; -} -//------------------------------------------------------------------------------ - -ClipperBase::~ClipperBase() //destructor -{ - Clear(); -} -//------------------------------------------------------------------------------ - -void RangeTest(const IntPoint& Pt, bool& useFullRange) -{ - if (useFullRange) - { - if (Pt.X > hiRange || Pt.Y > hiRange || -Pt.X > hiRange || -Pt.Y > hiRange) - throw clipperException("Coordinate outside allowed range"); - } - else if (Pt.X > loRange|| Pt.Y > loRange || -Pt.X > loRange || -Pt.Y > loRange) - { - useFullRange = true; - RangeTest(Pt, useFullRange); - } -} -//------------------------------------------------------------------------------ - -TEdge* FindNextLocMin(TEdge* E) -{ - for (;;) - { - while (E->Bot != E->Prev->Bot || E->Curr == E->Top) E = E->Next; - if (!IsHorizontal(*E) && !IsHorizontal(*E->Prev)) break; - while (IsHorizontal(*E->Prev)) E = E->Prev; - TEdge* E2 = E; - while (IsHorizontal(*E)) E = E->Next; - if (E->Top.Y == E->Prev->Bot.Y) continue; //ie just an intermediate horz. - if (E2->Prev->Bot.X < E->Bot.X) E = E2; - break; - } - return E; -} -//------------------------------------------------------------------------------ - -TEdge* ClipperBase::ProcessBound(TEdge* E, bool NextIsForward) -{ - TEdge *Result = E; - TEdge *Horz = 0; - - if (E->OutIdx == Skip) - { - //if edges still remain in the current bound beyond the skip edge then - //create another LocMin and call ProcessBound once more - if (NextIsForward) - { - while (E->Top.Y == E->Next->Bot.Y) E = E->Next; - //don't include top horizontals when parsing a bound a second time, - //they will be contained in the opposite bound ... - while (E != Result && IsHorizontal(*E)) E = E->Prev; - } - else - { - while (E->Top.Y == E->Prev->Bot.Y) E = E->Prev; - while (E != Result && IsHorizontal(*E)) E = E->Next; - } - - if (E == Result) - { - if (NextIsForward) Result = E->Next; - else Result = E->Prev; - } - else - { - //there are more edges in the bound beyond result starting with E - if (NextIsForward) - E = Result->Next; - else - E = Result->Prev; - MinimaList::value_type locMin; - locMin.Y = E->Bot.Y; - locMin.LeftBound = 0; - locMin.RightBound = E; - E->WindDelta = 0; - Result = ProcessBound(E, NextIsForward); - m_MinimaList.push_back(locMin); - } - return Result; - } - - TEdge *EStart; - - if (IsHorizontal(*E)) - { - //We need to be careful with open paths because this may not be a - //true local minima (ie E may be following a skip edge). - //Also, consecutive horz. edges may start heading left before going right. - if (NextIsForward) - EStart = E->Prev; - else - EStart = E->Next; - if (IsHorizontal(*EStart)) //ie an adjoining horizontal skip edge - { - if (EStart->Bot.X != E->Bot.X && EStart->Top.X != E->Bot.X) - ReverseHorizontal(*E); - } - else if (EStart->Bot.X != E->Bot.X) - ReverseHorizontal(*E); - } - - EStart = E; - if (NextIsForward) - { - while (Result->Top.Y == Result->Next->Bot.Y && Result->Next->OutIdx != Skip) - Result = Result->Next; - if (IsHorizontal(*Result) && Result->Next->OutIdx != Skip) - { - //nb: at the top of a bound, horizontals are added to the bound - //only when the preceding edge attaches to the horizontal's left vertex - //unless a Skip edge is encountered when that becomes the top divide - Horz = Result; - while (IsHorizontal(*Horz->Prev)) Horz = Horz->Prev; - if (Horz->Prev->Top.X > Result->Next->Top.X) Result = Horz->Prev; - } - while (E != Result) - { - E->NextInLML = E->Next; - if (IsHorizontal(*E) && E != EStart && - E->Bot.X != E->Prev->Top.X) ReverseHorizontal(*E); - E = E->Next; - } - if (IsHorizontal(*E) && E != EStart && E->Bot.X != E->Prev->Top.X) - ReverseHorizontal(*E); - Result = Result->Next; //move to the edge just beyond current bound - } else - { - while (Result->Top.Y == Result->Prev->Bot.Y && Result->Prev->OutIdx != Skip) - Result = Result->Prev; - if (IsHorizontal(*Result) && Result->Prev->OutIdx != Skip) - { - Horz = Result; - while (IsHorizontal(*Horz->Next)) Horz = Horz->Next; - if (Horz->Next->Top.X == Result->Prev->Top.X || - Horz->Next->Top.X > Result->Prev->Top.X) Result = Horz->Next; - } - - while (E != Result) - { - E->NextInLML = E->Prev; - if (IsHorizontal(*E) && E != EStart && E->Bot.X != E->Next->Top.X) - ReverseHorizontal(*E); - E = E->Prev; - } - if (IsHorizontal(*E) && E != EStart && E->Bot.X != E->Next->Top.X) - ReverseHorizontal(*E); - Result = Result->Prev; //move to the edge just beyond current bound - } - - return Result; -} -//------------------------------------------------------------------------------ - -bool ClipperBase::AddPath(const Path &pg, PolyType PolyTyp, bool Closed) -{ -#ifdef use_lines - if (!Closed && PolyTyp == ptClip) - throw clipperException("AddPath: Open paths must be subject."); -#else - if (!Closed) - throw clipperException("AddPath: Open paths have been disabled."); -#endif - - int highI = (int)pg.size() -1; - if (Closed) while (highI > 0 && (pg[highI] == pg[0])) --highI; - while (highI > 0 && (pg[highI] == pg[highI -1])) --highI; - if ((Closed && highI < 2) || (!Closed && highI < 1)) return false; - - //create a new edge array ... - TEdge *edges = new TEdge [highI +1]; - - bool IsFlat = true; - //1. Basic (first) edge initialization ... - try - { - edges[1].Curr = pg[1]; - RangeTest(pg[0], m_UseFullRange); - RangeTest(pg[highI], m_UseFullRange); - InitEdge(&edges[0], &edges[1], &edges[highI], pg[0]); - InitEdge(&edges[highI], &edges[0], &edges[highI-1], pg[highI]); - for (int i = highI - 1; i >= 1; --i) - { - RangeTest(pg[i], m_UseFullRange); - InitEdge(&edges[i], &edges[i+1], &edges[i-1], pg[i]); - } - } - catch(...) - { - delete [] edges; - throw; //range test fails - } - TEdge *eStart = &edges[0]; - - //2. Remove duplicate vertices, and (when closed) collinear edges ... - TEdge *E = eStart, *eLoopStop = eStart; - for (;;) - { - //nb: allows matching start and end points when not Closed ... - if (E->Curr == E->Next->Curr && (Closed || E->Next != eStart)) - { - if (E == E->Next) break; - if (E == eStart) eStart = E->Next; - E = RemoveEdge(E); - eLoopStop = E; - continue; - } - if (E->Prev == E->Next) - break; //only two vertices - else if (Closed && - SlopesEqual(E->Prev->Curr, E->Curr, E->Next->Curr, m_UseFullRange) && - (!m_PreserveCollinear || - !Pt2IsBetweenPt1AndPt3(E->Prev->Curr, E->Curr, E->Next->Curr))) - { - //Collinear edges are allowed for open paths but in closed paths - //the default is to merge adjacent collinear edges into a single edge. - //However, if the PreserveCollinear property is enabled, only overlapping - //collinear edges (ie spikes) will be removed from closed paths. - if (E == eStart) eStart = E->Next; - E = RemoveEdge(E); - E = E->Prev; - eLoopStop = E; - continue; - } - E = E->Next; - if ((E == eLoopStop) || (!Closed && E->Next == eStart)) break; - } - - if ((!Closed && (E == E->Next)) || (Closed && (E->Prev == E->Next))) - { - delete [] edges; - return false; - } - - if (!Closed) - { - m_HasOpenPaths = true; - eStart->Prev->OutIdx = Skip; - } - - //3. Do second stage of edge initialization ... - E = eStart; - do - { - InitEdge2(*E, PolyTyp); - E = E->Next; - if (IsFlat && E->Curr.Y != eStart->Curr.Y) IsFlat = false; - } - while (E != eStart); - - //4. Finally, add edge bounds to LocalMinima list ... - - //Totally flat paths must be handled differently when adding them - //to LocalMinima list to avoid endless loops etc ... - if (IsFlat) - { - if (Closed) - { - delete [] edges; - return false; - } - E->Prev->OutIdx = Skip; - MinimaList::value_type locMin; - locMin.Y = E->Bot.Y; - locMin.LeftBound = 0; - locMin.RightBound = E; - locMin.RightBound->Side = esRight; - locMin.RightBound->WindDelta = 0; - for (;;) - { - if (E->Bot.X != E->Prev->Top.X) ReverseHorizontal(*E); - if (E->Next->OutIdx == Skip) break; - E->NextInLML = E->Next; - E = E->Next; - } - m_MinimaList.push_back(locMin); - m_edges.push_back(edges); - return true; - } - - m_edges.push_back(edges); - bool leftBoundIsForward; - TEdge* EMin = 0; - - //workaround to avoid an endless loop in the while loop below when - //open paths have matching start and end points ... - if (E->Prev->Bot == E->Prev->Top) E = E->Next; - - for (;;) - { - E = FindNextLocMin(E); - if (E == EMin) break; - else if (!EMin) EMin = E; - - //E and E.Prev now share a local minima (left aligned if horizontal). - //Compare their slopes to find which starts which bound ... - MinimaList::value_type locMin; - locMin.Y = E->Bot.Y; - if (E->Dx < E->Prev->Dx) - { - locMin.LeftBound = E->Prev; - locMin.RightBound = E; - leftBoundIsForward = false; //Q.nextInLML = Q.prev - } else - { - locMin.LeftBound = E; - locMin.RightBound = E->Prev; - leftBoundIsForward = true; //Q.nextInLML = Q.next - } - - if (!Closed) locMin.LeftBound->WindDelta = 0; - else if (locMin.LeftBound->Next == locMin.RightBound) - locMin.LeftBound->WindDelta = -1; - else locMin.LeftBound->WindDelta = 1; - locMin.RightBound->WindDelta = -locMin.LeftBound->WindDelta; - - E = ProcessBound(locMin.LeftBound, leftBoundIsForward); - if (E->OutIdx == Skip) E = ProcessBound(E, leftBoundIsForward); - - TEdge* E2 = ProcessBound(locMin.RightBound, !leftBoundIsForward); - if (E2->OutIdx == Skip) E2 = ProcessBound(E2, !leftBoundIsForward); - - if (locMin.LeftBound->OutIdx == Skip) - locMin.LeftBound = 0; - else if (locMin.RightBound->OutIdx == Skip) - locMin.RightBound = 0; - m_MinimaList.push_back(locMin); - if (!leftBoundIsForward) E = E2; - } - return true; -} -//------------------------------------------------------------------------------ - -bool ClipperBase::AddPaths(const Paths &ppg, PolyType PolyTyp, bool Closed) -{ - bool result = false; - for (Paths::size_type i = 0; i < ppg.size(); ++i) - if (AddPath(ppg[i], PolyTyp, Closed)) result = true; - return result; -} -//------------------------------------------------------------------------------ - -void ClipperBase::Clear() -{ - DisposeLocalMinimaList(); - for (EdgeList::size_type i = 0; i < m_edges.size(); ++i) - { - TEdge* edges = m_edges[i]; - delete [] edges; - } - m_edges.clear(); - m_UseFullRange = false; - m_HasOpenPaths = false; -} -//------------------------------------------------------------------------------ - -void ClipperBase::Reset() -{ - m_CurrentLM = m_MinimaList.begin(); - if (m_CurrentLM == m_MinimaList.end()) return; //ie nothing to process - std::sort(m_MinimaList.begin(), m_MinimaList.end(), LocMinSorter()); - - m_Scanbeam = ScanbeamList(); //clears/resets priority_queue - //reset all edges ... - for (MinimaList::iterator lm = m_MinimaList.begin(); lm != m_MinimaList.end(); ++lm) - { - InsertScanbeam(lm->Y); - TEdge* e = lm->LeftBound; - if (e) - { - e->Curr = e->Bot; - e->Side = esLeft; - e->OutIdx = Unassigned; - } - - e = lm->RightBound; - if (e) - { - e->Curr = e->Bot; - e->Side = esRight; - e->OutIdx = Unassigned; - } - } - m_ActiveEdges = 0; - m_CurrentLM = m_MinimaList.begin(); -} -//------------------------------------------------------------------------------ - -void ClipperBase::DisposeLocalMinimaList() -{ - m_MinimaList.clear(); - m_CurrentLM = m_MinimaList.begin(); -} -//------------------------------------------------------------------------------ - -bool ClipperBase::PopLocalMinima(cInt Y, const LocalMinimum *&locMin) -{ - if (m_CurrentLM == m_MinimaList.end() || (*m_CurrentLM).Y != Y) return false; - locMin = &(*m_CurrentLM); - ++m_CurrentLM; - return true; -} -//------------------------------------------------------------------------------ - -IntRect ClipperBase::GetBounds() -{ - IntRect result; - MinimaList::iterator lm = m_MinimaList.begin(); - if (lm == m_MinimaList.end()) - { - result.left = result.top = result.right = result.bottom = 0; - return result; - } - result.left = lm->LeftBound->Bot.X; - result.top = lm->LeftBound->Bot.Y; - result.right = lm->LeftBound->Bot.X; - result.bottom = lm->LeftBound->Bot.Y; - while (lm != m_MinimaList.end()) - { - //todo - needs fixing for open paths - result.bottom = std::max(result.bottom, lm->LeftBound->Bot.Y); - TEdge* e = lm->LeftBound; - for (;;) { - TEdge* bottomE = e; - while (e->NextInLML) - { - if (e->Bot.X < result.left) result.left = e->Bot.X; - if (e->Bot.X > result.right) result.right = e->Bot.X; - e = e->NextInLML; - } - result.left = std::min(result.left, e->Bot.X); - result.right = std::max(result.right, e->Bot.X); - result.left = std::min(result.left, e->Top.X); - result.right = std::max(result.right, e->Top.X); - result.top = std::min(result.top, e->Top.Y); - if (bottomE == lm->LeftBound) e = lm->RightBound; - else break; - } - ++lm; - } - return result; -} -//------------------------------------------------------------------------------ - -void ClipperBase::InsertScanbeam(const cInt Y) -{ - m_Scanbeam.push(Y); -} -//------------------------------------------------------------------------------ - -bool ClipperBase::PopScanbeam(cInt &Y) -{ - if (m_Scanbeam.empty()) return false; - Y = m_Scanbeam.top(); - m_Scanbeam.pop(); - while (!m_Scanbeam.empty() && Y == m_Scanbeam.top()) { m_Scanbeam.pop(); } // Pop duplicates. - return true; -} -//------------------------------------------------------------------------------ - -void ClipperBase::DisposeAllOutRecs(){ - for (PolyOutList::size_type i = 0; i < m_PolyOuts.size(); ++i) - DisposeOutRec(i); - m_PolyOuts.clear(); -} -//------------------------------------------------------------------------------ - -void ClipperBase::DisposeOutRec(PolyOutList::size_type index) -{ - OutRec *outRec = m_PolyOuts[index]; - if (outRec->Pts) DisposeOutPts(outRec->Pts); - delete outRec; - m_PolyOuts[index] = 0; -} -//------------------------------------------------------------------------------ - -void ClipperBase::DeleteFromAEL(TEdge *e) -{ - TEdge* AelPrev = e->PrevInAEL; - TEdge* AelNext = e->NextInAEL; - if (!AelPrev && !AelNext && (e != m_ActiveEdges)) return; //already deleted - if (AelPrev) AelPrev->NextInAEL = AelNext; - else m_ActiveEdges = AelNext; - if (AelNext) AelNext->PrevInAEL = AelPrev; - e->NextInAEL = 0; - e->PrevInAEL = 0; -} -//------------------------------------------------------------------------------ - -OutRec* ClipperBase::CreateOutRec() -{ - OutRec* result = new OutRec; - result->IsHole = false; - result->IsOpen = false; - result->FirstLeft = 0; - result->Pts = 0; - result->BottomPt = 0; - result->PolyNd = 0; - m_PolyOuts.push_back(result); - result->Idx = (int)m_PolyOuts.size() - 1; - return result; -} -//------------------------------------------------------------------------------ - -void ClipperBase::SwapPositionsInAEL(TEdge *Edge1, TEdge *Edge2) -{ - //check that one or other edge hasn't already been removed from AEL ... - if (Edge1->NextInAEL == Edge1->PrevInAEL || - Edge2->NextInAEL == Edge2->PrevInAEL) return; - - if (Edge1->NextInAEL == Edge2) - { - TEdge* Next = Edge2->NextInAEL; - if (Next) Next->PrevInAEL = Edge1; - TEdge* Prev = Edge1->PrevInAEL; - if (Prev) Prev->NextInAEL = Edge2; - Edge2->PrevInAEL = Prev; - Edge2->NextInAEL = Edge1; - Edge1->PrevInAEL = Edge2; - Edge1->NextInAEL = Next; - } - else if (Edge2->NextInAEL == Edge1) - { - TEdge* Next = Edge1->NextInAEL; - if (Next) Next->PrevInAEL = Edge2; - TEdge* Prev = Edge2->PrevInAEL; - if (Prev) Prev->NextInAEL = Edge1; - Edge1->PrevInAEL = Prev; - Edge1->NextInAEL = Edge2; - Edge2->PrevInAEL = Edge1; - Edge2->NextInAEL = Next; - } - else - { - TEdge* Next = Edge1->NextInAEL; - TEdge* Prev = Edge1->PrevInAEL; - Edge1->NextInAEL = Edge2->NextInAEL; - if (Edge1->NextInAEL) Edge1->NextInAEL->PrevInAEL = Edge1; - Edge1->PrevInAEL = Edge2->PrevInAEL; - if (Edge1->PrevInAEL) Edge1->PrevInAEL->NextInAEL = Edge1; - Edge2->NextInAEL = Next; - if (Edge2->NextInAEL) Edge2->NextInAEL->PrevInAEL = Edge2; - Edge2->PrevInAEL = Prev; - if (Edge2->PrevInAEL) Edge2->PrevInAEL->NextInAEL = Edge2; - } - - if (!Edge1->PrevInAEL) m_ActiveEdges = Edge1; - else if (!Edge2->PrevInAEL) m_ActiveEdges = Edge2; -} -//------------------------------------------------------------------------------ - -void ClipperBase::UpdateEdgeIntoAEL(TEdge *&e) -{ - if (!e->NextInLML) - throw clipperException("UpdateEdgeIntoAEL: invalid call"); - - e->NextInLML->OutIdx = e->OutIdx; - TEdge* AelPrev = e->PrevInAEL; - TEdge* AelNext = e->NextInAEL; - if (AelPrev) AelPrev->NextInAEL = e->NextInLML; - else m_ActiveEdges = e->NextInLML; - if (AelNext) AelNext->PrevInAEL = e->NextInLML; - e->NextInLML->Side = e->Side; - e->NextInLML->WindDelta = e->WindDelta; - e->NextInLML->WindCnt = e->WindCnt; - e->NextInLML->WindCnt2 = e->WindCnt2; - e = e->NextInLML; - e->Curr = e->Bot; - e->PrevInAEL = AelPrev; - e->NextInAEL = AelNext; - if (!IsHorizontal(*e)) InsertScanbeam(e->Top.Y); -} -//------------------------------------------------------------------------------ - -bool ClipperBase::LocalMinimaPending() -{ - return (m_CurrentLM != m_MinimaList.end()); -} - -//------------------------------------------------------------------------------ -// TClipper methods ... -//------------------------------------------------------------------------------ - -Clipper::Clipper(int initOptions) : ClipperBase() //constructor -{ - m_ExecuteLocked = false; - m_UseFullRange = false; - m_ReverseOutput = ((initOptions & ioReverseSolution) != 0); - m_StrictSimple = ((initOptions & ioStrictlySimple) != 0); - m_PreserveCollinear = ((initOptions & ioPreserveCollinear) != 0); - m_HasOpenPaths = false; -#ifdef use_xyz - m_ZFill = 0; -#endif -} -//------------------------------------------------------------------------------ - -#ifdef use_xyz -void Clipper::ZFillFunction(ZFillCallback zFillFunc) -{ - m_ZFill = zFillFunc; -} -//------------------------------------------------------------------------------ -#endif - -bool Clipper::Execute(ClipType clipType, Paths &solution, PolyFillType fillType) -{ - return Execute(clipType, solution, fillType, fillType); -} -//------------------------------------------------------------------------------ - -bool Clipper::Execute(ClipType clipType, PolyTree &polytree, PolyFillType fillType) -{ - return Execute(clipType, polytree, fillType, fillType); -} -//------------------------------------------------------------------------------ - -bool Clipper::Execute(ClipType clipType, Paths &solution, - PolyFillType subjFillType, PolyFillType clipFillType) -{ - if( m_ExecuteLocked ) return false; - if (m_HasOpenPaths) - throw clipperException("Error: PolyTree struct is needed for open path clipping."); - m_ExecuteLocked = true; - solution.resize(0); - m_SubjFillType = subjFillType; - m_ClipFillType = clipFillType; - m_ClipType = clipType; - m_UsingPolyTree = false; - bool succeeded = ExecuteInternal(); - if (succeeded) BuildResult(solution); - DisposeAllOutRecs(); - m_ExecuteLocked = false; - return succeeded; -} -//------------------------------------------------------------------------------ - -bool Clipper::Execute(ClipType clipType, PolyTree& polytree, - PolyFillType subjFillType, PolyFillType clipFillType) -{ - if( m_ExecuteLocked ) return false; - m_ExecuteLocked = true; - m_SubjFillType = subjFillType; - m_ClipFillType = clipFillType; - m_ClipType = clipType; - m_UsingPolyTree = true; - bool succeeded = ExecuteInternal(); - if (succeeded) BuildResult2(polytree); - DisposeAllOutRecs(); - m_ExecuteLocked = false; - return succeeded; -} -//------------------------------------------------------------------------------ - -void Clipper::FixHoleLinkage(OutRec &outrec) -{ - //skip OutRecs that (a) contain outermost polygons or - //(b) already have the correct owner/child linkage ... - if (!outrec.FirstLeft || - (outrec.IsHole != outrec.FirstLeft->IsHole && - outrec.FirstLeft->Pts)) return; - - OutRec* orfl = outrec.FirstLeft; - while (orfl && ((orfl->IsHole == outrec.IsHole) || !orfl->Pts)) - orfl = orfl->FirstLeft; - outrec.FirstLeft = orfl; -} -//------------------------------------------------------------------------------ - -bool Clipper::ExecuteInternal() -{ - bool succeeded = true; - try { - Reset(); - m_Maxima = MaximaList(); - m_SortedEdges = 0; - - succeeded = true; - cInt botY, topY; - if (!PopScanbeam(botY)) return false; - InsertLocalMinimaIntoAEL(botY); - while (PopScanbeam(topY) || LocalMinimaPending()) - { - ProcessHorizontals(); - ClearGhostJoins(); - if (!ProcessIntersections(topY)) - { - succeeded = false; - break; - } - ProcessEdgesAtTopOfScanbeam(topY); - botY = topY; - InsertLocalMinimaIntoAEL(botY); - } - } - catch(...) - { - succeeded = false; - } - - if (succeeded) - { - //fix orientations ... - for (PolyOutList::size_type i = 0; i < m_PolyOuts.size(); ++i) - { - OutRec *outRec = m_PolyOuts[i]; - if (!outRec->Pts || outRec->IsOpen) continue; - if ((outRec->IsHole ^ m_ReverseOutput) == (Area(*outRec) > 0)) - ReversePolyPtLinks(outRec->Pts); - } - - if (!m_Joins.empty()) JoinCommonEdges(); - - //unfortunately FixupOutPolygon() must be done after JoinCommonEdges() - for (PolyOutList::size_type i = 0; i < m_PolyOuts.size(); ++i) - { - OutRec *outRec = m_PolyOuts[i]; - if (!outRec->Pts) continue; - if (outRec->IsOpen) - FixupOutPolyline(*outRec); - else - FixupOutPolygon(*outRec); - } - - if (m_StrictSimple) DoSimplePolygons(); - } - - ClearJoins(); - ClearGhostJoins(); - return succeeded; -} -//------------------------------------------------------------------------------ - -void Clipper::SetWindingCount(TEdge &edge) -{ - TEdge *e = edge.PrevInAEL; - //find the edge of the same polytype that immediately preceeds 'edge' in AEL - while (e && ((e->PolyTyp != edge.PolyTyp) || (e->WindDelta == 0))) e = e->PrevInAEL; - if (!e) - { - if (edge.WindDelta == 0) - { - PolyFillType pft = (edge.PolyTyp == ptSubject ? m_SubjFillType : m_ClipFillType); - edge.WindCnt = (pft == pftNegative ? -1 : 1); - } - else - edge.WindCnt = edge.WindDelta; - edge.WindCnt2 = 0; - e = m_ActiveEdges; //ie get ready to calc WindCnt2 - } - else if (edge.WindDelta == 0 && m_ClipType != ctUnion) - { - edge.WindCnt = 1; - edge.WindCnt2 = e->WindCnt2; - e = e->NextInAEL; //ie get ready to calc WindCnt2 - } - else if (IsEvenOddFillType(edge)) - { - //EvenOdd filling ... - if (edge.WindDelta == 0) - { - //are we inside a subj polygon ... - bool Inside = true; - TEdge *e2 = e->PrevInAEL; - while (e2) - { - if (e2->PolyTyp == e->PolyTyp && e2->WindDelta != 0) - Inside = !Inside; - e2 = e2->PrevInAEL; - } - edge.WindCnt = (Inside ? 0 : 1); - } - else - { - edge.WindCnt = edge.WindDelta; - } - edge.WindCnt2 = e->WindCnt2; - e = e->NextInAEL; //ie get ready to calc WindCnt2 - } - else - { - //nonZero, Positive or Negative filling ... - if (e->WindCnt * e->WindDelta < 0) - { - //prev edge is 'decreasing' WindCount (WC) toward zero - //so we're outside the previous polygon ... - if (Abs(e->WindCnt) > 1) - { - //outside prev poly but still inside another. - //when reversing direction of prev poly use the same WC - if (e->WindDelta * edge.WindDelta < 0) edge.WindCnt = e->WindCnt; - //otherwise continue to 'decrease' WC ... - else edge.WindCnt = e->WindCnt + edge.WindDelta; - } - else - //now outside all polys of same polytype so set own WC ... - edge.WindCnt = (edge.WindDelta == 0 ? 1 : edge.WindDelta); - } else - { - //prev edge is 'increasing' WindCount (WC) away from zero - //so we're inside the previous polygon ... - if (edge.WindDelta == 0) - edge.WindCnt = (e->WindCnt < 0 ? e->WindCnt - 1 : e->WindCnt + 1); - //if wind direction is reversing prev then use same WC - else if (e->WindDelta * edge.WindDelta < 0) edge.WindCnt = e->WindCnt; - //otherwise add to WC ... - else edge.WindCnt = e->WindCnt + edge.WindDelta; - } - edge.WindCnt2 = e->WindCnt2; - e = e->NextInAEL; //ie get ready to calc WindCnt2 - } - - //update WindCnt2 ... - if (IsEvenOddAltFillType(edge)) - { - //EvenOdd filling ... - while (e != &edge) - { - if (e->WindDelta != 0) - edge.WindCnt2 = (edge.WindCnt2 == 0 ? 1 : 0); - e = e->NextInAEL; - } - } else - { - //nonZero, Positive or Negative filling ... - while ( e != &edge ) - { - edge.WindCnt2 += e->WindDelta; - e = e->NextInAEL; - } - } -} -//------------------------------------------------------------------------------ - -bool Clipper::IsEvenOddFillType(const TEdge& edge) const -{ - if (edge.PolyTyp == ptSubject) - return m_SubjFillType == pftEvenOdd; else - return m_ClipFillType == pftEvenOdd; -} -//------------------------------------------------------------------------------ - -bool Clipper::IsEvenOddAltFillType(const TEdge& edge) const -{ - if (edge.PolyTyp == ptSubject) - return m_ClipFillType == pftEvenOdd; else - return m_SubjFillType == pftEvenOdd; -} -//------------------------------------------------------------------------------ - -bool Clipper::IsContributing(const TEdge& edge) const -{ - PolyFillType pft, pft2; - if (edge.PolyTyp == ptSubject) - { - pft = m_SubjFillType; - pft2 = m_ClipFillType; - } else - { - pft = m_ClipFillType; - pft2 = m_SubjFillType; - } - - switch(pft) - { - case pftEvenOdd: - //return false if a subj line has been flagged as inside a subj polygon - if (edge.WindDelta == 0 && edge.WindCnt != 1) return false; - break; - case pftNonZero: - if (Abs(edge.WindCnt) != 1) return false; - break; - case pftPositive: - if (edge.WindCnt != 1) return false; - break; - default: //pftNegative - if (edge.WindCnt != -1) return false; - } - - switch(m_ClipType) - { - case ctIntersection: - switch(pft2) - { - case pftEvenOdd: - case pftNonZero: - return (edge.WindCnt2 != 0); - case pftPositive: - return (edge.WindCnt2 > 0); - default: - return (edge.WindCnt2 < 0); - } - break; - case ctUnion: - switch(pft2) - { - case pftEvenOdd: - case pftNonZero: - return (edge.WindCnt2 == 0); - case pftPositive: - return (edge.WindCnt2 <= 0); - default: - return (edge.WindCnt2 >= 0); - } - break; - case ctDifference: - if (edge.PolyTyp == ptSubject) - switch(pft2) - { - case pftEvenOdd: - case pftNonZero: - return (edge.WindCnt2 == 0); - case pftPositive: - return (edge.WindCnt2 <= 0); - default: - return (edge.WindCnt2 >= 0); - } - else - switch(pft2) - { - case pftEvenOdd: - case pftNonZero: - return (edge.WindCnt2 != 0); - case pftPositive: - return (edge.WindCnt2 > 0); - default: - return (edge.WindCnt2 < 0); - } - break; - case ctXor: - if (edge.WindDelta == 0) //XOr always contributing unless open - switch(pft2) - { - case pftEvenOdd: - case pftNonZero: - return (edge.WindCnt2 == 0); - case pftPositive: - return (edge.WindCnt2 <= 0); - default: - return (edge.WindCnt2 >= 0); - } - else - return true; - break; - default: - return true; - } -} -//------------------------------------------------------------------------------ - -OutPt* Clipper::AddLocalMinPoly(TEdge *e1, TEdge *e2, const IntPoint &Pt) -{ - OutPt* result; - TEdge *e, *prevE; - if (IsHorizontal(*e2) || ( e1->Dx > e2->Dx )) - { - result = AddOutPt(e1, Pt); - e2->OutIdx = e1->OutIdx; - e1->Side = esLeft; - e2->Side = esRight; - e = e1; - if (e->PrevInAEL == e2) - prevE = e2->PrevInAEL; - else - prevE = e->PrevInAEL; - } else - { - result = AddOutPt(e2, Pt); - e1->OutIdx = e2->OutIdx; - e1->Side = esRight; - e2->Side = esLeft; - e = e2; - if (e->PrevInAEL == e1) - prevE = e1->PrevInAEL; - else - prevE = e->PrevInAEL; - } - - if (prevE && prevE->OutIdx >= 0 && prevE->Top.Y < Pt.Y && e->Top.Y < Pt.Y) - { - cInt xPrev = TopX(*prevE, Pt.Y); - cInt xE = TopX(*e, Pt.Y); - if (xPrev == xE && (e->WindDelta != 0) && (prevE->WindDelta != 0) && - SlopesEqual(IntPoint(xPrev, Pt.Y), prevE->Top, IntPoint(xE, Pt.Y), e->Top, m_UseFullRange)) - { - OutPt* outPt = AddOutPt(prevE, Pt); - AddJoin(result, outPt, e->Top); - } - } - return result; -} -//------------------------------------------------------------------------------ - -void Clipper::AddLocalMaxPoly(TEdge *e1, TEdge *e2, const IntPoint &Pt) -{ - AddOutPt( e1, Pt ); - if (e2->WindDelta == 0) AddOutPt(e2, Pt); - if( e1->OutIdx == e2->OutIdx ) - { - e1->OutIdx = Unassigned; - e2->OutIdx = Unassigned; - } - else if (e1->OutIdx < e2->OutIdx) - AppendPolygon(e1, e2); - else - AppendPolygon(e2, e1); -} -//------------------------------------------------------------------------------ - -void Clipper::AddEdgeToSEL(TEdge *edge) -{ - //SEL pointers in PEdge are reused to build a list of horizontal edges. - //However, we don't need to worry about order with horizontal edge processing. - if( !m_SortedEdges ) - { - m_SortedEdges = edge; - edge->PrevInSEL = 0; - edge->NextInSEL = 0; - } - else - { - edge->NextInSEL = m_SortedEdges; - edge->PrevInSEL = 0; - m_SortedEdges->PrevInSEL = edge; - m_SortedEdges = edge; - } -} -//------------------------------------------------------------------------------ - -bool Clipper::PopEdgeFromSEL(TEdge *&edge) -{ - if (!m_SortedEdges) return false; - edge = m_SortedEdges; - DeleteFromSEL(m_SortedEdges); - return true; -} -//------------------------------------------------------------------------------ - -void Clipper::CopyAELToSEL() -{ - TEdge* e = m_ActiveEdges; - m_SortedEdges = e; - while ( e ) - { - e->PrevInSEL = e->PrevInAEL; - e->NextInSEL = e->NextInAEL; - e = e->NextInAEL; - } -} -//------------------------------------------------------------------------------ - -void Clipper::AddJoin(OutPt *op1, OutPt *op2, const IntPoint OffPt) -{ - Join* j = new Join; - j->OutPt1 = op1; - j->OutPt2 = op2; - j->OffPt = OffPt; - m_Joins.push_back(j); -} -//------------------------------------------------------------------------------ - -void Clipper::ClearJoins() -{ - for (JoinList::size_type i = 0; i < m_Joins.size(); i++) - delete m_Joins[i]; - m_Joins.resize(0); -} -//------------------------------------------------------------------------------ - -void Clipper::ClearGhostJoins() -{ - for (JoinList::size_type i = 0; i < m_GhostJoins.size(); i++) - delete m_GhostJoins[i]; - m_GhostJoins.resize(0); -} -//------------------------------------------------------------------------------ - -void Clipper::AddGhostJoin(OutPt *op, const IntPoint OffPt) -{ - Join* j = new Join; - j->OutPt1 = op; - j->OutPt2 = 0; - j->OffPt = OffPt; - m_GhostJoins.push_back(j); -} -//------------------------------------------------------------------------------ - -void Clipper::InsertLocalMinimaIntoAEL(const cInt botY) -{ - const LocalMinimum *lm; - while (PopLocalMinima(botY, lm)) - { - TEdge* lb = lm->LeftBound; - TEdge* rb = lm->RightBound; - - OutPt *Op1 = 0; - if (!lb) - { - //nb: don't insert LB into either AEL or SEL - InsertEdgeIntoAEL(rb, 0); - SetWindingCount(*rb); - if (IsContributing(*rb)) - Op1 = AddOutPt(rb, rb->Bot); - } - else if (!rb) - { - InsertEdgeIntoAEL(lb, 0); - SetWindingCount(*lb); - if (IsContributing(*lb)) - Op1 = AddOutPt(lb, lb->Bot); - InsertScanbeam(lb->Top.Y); - } - else - { - InsertEdgeIntoAEL(lb, 0); - InsertEdgeIntoAEL(rb, lb); - SetWindingCount( *lb ); - rb->WindCnt = lb->WindCnt; - rb->WindCnt2 = lb->WindCnt2; - if (IsContributing(*lb)) - Op1 = AddLocalMinPoly(lb, rb, lb->Bot); - InsertScanbeam(lb->Top.Y); - } - - if (rb) - { - if (IsHorizontal(*rb)) - { - AddEdgeToSEL(rb); - if (rb->NextInLML) - InsertScanbeam(rb->NextInLML->Top.Y); - } - else InsertScanbeam( rb->Top.Y ); - } - - if (!lb || !rb) continue; - - //if any output polygons share an edge, they'll need joining later ... - if (Op1 && IsHorizontal(*rb) && - m_GhostJoins.size() > 0 && (rb->WindDelta != 0)) - { - for (JoinList::size_type i = 0; i < m_GhostJoins.size(); ++i) - { - Join* jr = m_GhostJoins[i]; - //if the horizontal Rb and a 'ghost' horizontal overlap, then convert - //the 'ghost' join to a real join ready for later ... - if (HorzSegmentsOverlap(jr->OutPt1->Pt.X, jr->OffPt.X, rb->Bot.X, rb->Top.X)) - AddJoin(jr->OutPt1, Op1, jr->OffPt); - } - } - - if (lb->OutIdx >= 0 && lb->PrevInAEL && - lb->PrevInAEL->Curr.X == lb->Bot.X && - lb->PrevInAEL->OutIdx >= 0 && - SlopesEqual(lb->PrevInAEL->Bot, lb->PrevInAEL->Top, lb->Curr, lb->Top, m_UseFullRange) && - (lb->WindDelta != 0) && (lb->PrevInAEL->WindDelta != 0)) - { - OutPt *Op2 = AddOutPt(lb->PrevInAEL, lb->Bot); - AddJoin(Op1, Op2, lb->Top); - } - - if(lb->NextInAEL != rb) - { - - if (rb->OutIdx >= 0 && rb->PrevInAEL->OutIdx >= 0 && - SlopesEqual(rb->PrevInAEL->Curr, rb->PrevInAEL->Top, rb->Curr, rb->Top, m_UseFullRange) && - (rb->WindDelta != 0) && (rb->PrevInAEL->WindDelta != 0)) - { - OutPt *Op2 = AddOutPt(rb->PrevInAEL, rb->Bot); - AddJoin(Op1, Op2, rb->Top); - } - - TEdge* e = lb->NextInAEL; - if (e) - { - while( e != rb ) - { - //nb: For calculating winding counts etc, IntersectEdges() assumes - //that param1 will be to the Right of param2 ABOVE the intersection ... - IntersectEdges(rb , e , lb->Curr); //order important here - e = e->NextInAEL; - } - } - } - - } -} -//------------------------------------------------------------------------------ - -void Clipper::DeleteFromSEL(TEdge *e) -{ - TEdge* SelPrev = e->PrevInSEL; - TEdge* SelNext = e->NextInSEL; - if( !SelPrev && !SelNext && (e != m_SortedEdges) ) return; //already deleted - if( SelPrev ) SelPrev->NextInSEL = SelNext; - else m_SortedEdges = SelNext; - if( SelNext ) SelNext->PrevInSEL = SelPrev; - e->NextInSEL = 0; - e->PrevInSEL = 0; -} -//------------------------------------------------------------------------------ - -#ifdef use_xyz -void Clipper::SetZ(IntPoint& pt, TEdge& e1, TEdge& e2) -{ - if (pt.Z != 0 || !m_ZFill) return; - else if (pt == e1.Bot) pt.Z = e1.Bot.Z; - else if (pt == e1.Top) pt.Z = e1.Top.Z; - else if (pt == e2.Bot) pt.Z = e2.Bot.Z; - else if (pt == e2.Top) pt.Z = e2.Top.Z; - else (*m_ZFill)(e1.Bot, e1.Top, e2.Bot, e2.Top, pt); -} -//------------------------------------------------------------------------------ -#endif - -void Clipper::IntersectEdges(TEdge *e1, TEdge *e2, IntPoint &Pt) -{ - bool e1Contributing = ( e1->OutIdx >= 0 ); - bool e2Contributing = ( e2->OutIdx >= 0 ); - -#ifdef use_xyz - SetZ(Pt, *e1, *e2); -#endif - -#ifdef use_lines - //if either edge is on an OPEN path ... - if (e1->WindDelta == 0 || e2->WindDelta == 0) - { - //ignore subject-subject open path intersections UNLESS they - //are both open paths, AND they are both 'contributing maximas' ... - if (e1->WindDelta == 0 && e2->WindDelta == 0) return; - - //if intersecting a subj line with a subj poly ... - else if (e1->PolyTyp == e2->PolyTyp && - e1->WindDelta != e2->WindDelta && m_ClipType == ctUnion) - { - if (e1->WindDelta == 0) - { - if (e2Contributing) - { - AddOutPt(e1, Pt); - if (e1Contributing) e1->OutIdx = Unassigned; - } - } - else - { - if (e1Contributing) - { - AddOutPt(e2, Pt); - if (e2Contributing) e2->OutIdx = Unassigned; - } - } - } - else if (e1->PolyTyp != e2->PolyTyp) - { - //toggle subj open path OutIdx on/off when Abs(clip.WndCnt) == 1 ... - if ((e1->WindDelta == 0) && abs(e2->WindCnt) == 1 && - (m_ClipType != ctUnion || e2->WindCnt2 == 0)) - { - AddOutPt(e1, Pt); - if (e1Contributing) e1->OutIdx = Unassigned; - } - else if ((e2->WindDelta == 0) && (abs(e1->WindCnt) == 1) && - (m_ClipType != ctUnion || e1->WindCnt2 == 0)) - { - AddOutPt(e2, Pt); - if (e2Contributing) e2->OutIdx = Unassigned; - } - } - return; - } -#endif - - //update winding counts... - //assumes that e1 will be to the Right of e2 ABOVE the intersection - if ( e1->PolyTyp == e2->PolyTyp ) - { - if ( IsEvenOddFillType( *e1) ) - { - int oldE1WindCnt = e1->WindCnt; - e1->WindCnt = e2->WindCnt; - e2->WindCnt = oldE1WindCnt; - } else - { - if (e1->WindCnt + e2->WindDelta == 0 ) e1->WindCnt = -e1->WindCnt; - else e1->WindCnt += e2->WindDelta; - if ( e2->WindCnt - e1->WindDelta == 0 ) e2->WindCnt = -e2->WindCnt; - else e2->WindCnt -= e1->WindDelta; - } - } else - { - if (!IsEvenOddFillType(*e2)) e1->WindCnt2 += e2->WindDelta; - else e1->WindCnt2 = ( e1->WindCnt2 == 0 ) ? 1 : 0; - if (!IsEvenOddFillType(*e1)) e2->WindCnt2 -= e1->WindDelta; - else e2->WindCnt2 = ( e2->WindCnt2 == 0 ) ? 1 : 0; - } - - PolyFillType e1FillType, e2FillType, e1FillType2, e2FillType2; - if (e1->PolyTyp == ptSubject) - { - e1FillType = m_SubjFillType; - e1FillType2 = m_ClipFillType; - } else - { - e1FillType = m_ClipFillType; - e1FillType2 = m_SubjFillType; - } - if (e2->PolyTyp == ptSubject) - { - e2FillType = m_SubjFillType; - e2FillType2 = m_ClipFillType; - } else - { - e2FillType = m_ClipFillType; - e2FillType2 = m_SubjFillType; - } - - cInt e1Wc, e2Wc; - switch (e1FillType) - { - case pftPositive: e1Wc = e1->WindCnt; break; - case pftNegative: e1Wc = -e1->WindCnt; break; - default: e1Wc = Abs(e1->WindCnt); - } - switch(e2FillType) - { - case pftPositive: e2Wc = e2->WindCnt; break; - case pftNegative: e2Wc = -e2->WindCnt; break; - default: e2Wc = Abs(e2->WindCnt); - } - - if ( e1Contributing && e2Contributing ) - { - if ((e1Wc != 0 && e1Wc != 1) || (e2Wc != 0 && e2Wc != 1) || - (e1->PolyTyp != e2->PolyTyp && m_ClipType != ctXor) ) - { - AddLocalMaxPoly(e1, e2, Pt); - } - else - { - AddOutPt(e1, Pt); - AddOutPt(e2, Pt); - SwapSides( *e1 , *e2 ); - SwapPolyIndexes( *e1 , *e2 ); - } - } - else if ( e1Contributing ) - { - if (e2Wc == 0 || e2Wc == 1) - { - AddOutPt(e1, Pt); - SwapSides(*e1, *e2); - SwapPolyIndexes(*e1, *e2); - } - } - else if ( e2Contributing ) - { - if (e1Wc == 0 || e1Wc == 1) - { - AddOutPt(e2, Pt); - SwapSides(*e1, *e2); - SwapPolyIndexes(*e1, *e2); - } - } - else if ( (e1Wc == 0 || e1Wc == 1) && (e2Wc == 0 || e2Wc == 1)) - { - //neither edge is currently contributing ... - - cInt e1Wc2, e2Wc2; - switch (e1FillType2) - { - case pftPositive: e1Wc2 = e1->WindCnt2; break; - case pftNegative : e1Wc2 = -e1->WindCnt2; break; - default: e1Wc2 = Abs(e1->WindCnt2); - } - switch (e2FillType2) - { - case pftPositive: e2Wc2 = e2->WindCnt2; break; - case pftNegative: e2Wc2 = -e2->WindCnt2; break; - default: e2Wc2 = Abs(e2->WindCnt2); - } - - if (e1->PolyTyp != e2->PolyTyp) - { - AddLocalMinPoly(e1, e2, Pt); - } - else if (e1Wc == 1 && e2Wc == 1) - switch( m_ClipType ) { - case ctIntersection: - if (e1Wc2 > 0 && e2Wc2 > 0) - AddLocalMinPoly(e1, e2, Pt); - break; - case ctUnion: - if ( e1Wc2 <= 0 && e2Wc2 <= 0 ) - AddLocalMinPoly(e1, e2, Pt); - break; - case ctDifference: - if (((e1->PolyTyp == ptClip) && (e1Wc2 > 0) && (e2Wc2 > 0)) || - ((e1->PolyTyp == ptSubject) && (e1Wc2 <= 0) && (e2Wc2 <= 0))) - AddLocalMinPoly(e1, e2, Pt); - break; - case ctXor: - AddLocalMinPoly(e1, e2, Pt); - } - else - SwapSides( *e1, *e2 ); - } -} -//------------------------------------------------------------------------------ - -void Clipper::SetHoleState(TEdge *e, OutRec *outrec) -{ - TEdge *e2 = e->PrevInAEL; - TEdge *eTmp = 0; - while (e2) - { - if (e2->OutIdx >= 0 && e2->WindDelta != 0) - { - if (!eTmp) eTmp = e2; - else if (eTmp->OutIdx == e2->OutIdx) eTmp = 0; - } - e2 = e2->PrevInAEL; - } - if (!eTmp) - { - outrec->FirstLeft = 0; - outrec->IsHole = false; - } - else - { - outrec->FirstLeft = m_PolyOuts[eTmp->OutIdx]; - outrec->IsHole = !outrec->FirstLeft->IsHole; - } -} -//------------------------------------------------------------------------------ - -OutRec* GetLowermostRec(OutRec *outRec1, OutRec *outRec2) -{ - //work out which polygon fragment has the correct hole state ... - if (!outRec1->BottomPt) - outRec1->BottomPt = GetBottomPt(outRec1->Pts); - if (!outRec2->BottomPt) - outRec2->BottomPt = GetBottomPt(outRec2->Pts); - OutPt *OutPt1 = outRec1->BottomPt; - OutPt *OutPt2 = outRec2->BottomPt; - if (OutPt1->Pt.Y > OutPt2->Pt.Y) return outRec1; - else if (OutPt1->Pt.Y < OutPt2->Pt.Y) return outRec2; - else if (OutPt1->Pt.X < OutPt2->Pt.X) return outRec1; - else if (OutPt1->Pt.X > OutPt2->Pt.X) return outRec2; - else if (OutPt1->Next == OutPt1) return outRec2; - else if (OutPt2->Next == OutPt2) return outRec1; - else if (FirstIsBottomPt(OutPt1, OutPt2)) return outRec1; - else return outRec2; -} -//------------------------------------------------------------------------------ - -bool OutRec1RightOfOutRec2(OutRec* outRec1, OutRec* outRec2) -{ - do - { - outRec1 = outRec1->FirstLeft; - if (outRec1 == outRec2) return true; - } while (outRec1); - return false; -} -//------------------------------------------------------------------------------ - -OutRec* Clipper::GetOutRec(int Idx) -{ - OutRec* outrec = m_PolyOuts[Idx]; - while (outrec != m_PolyOuts[outrec->Idx]) - outrec = m_PolyOuts[outrec->Idx]; - return outrec; -} -//------------------------------------------------------------------------------ - -void Clipper::AppendPolygon(TEdge *e1, TEdge *e2) -{ - //get the start and ends of both output polygons ... - OutRec *outRec1 = m_PolyOuts[e1->OutIdx]; - OutRec *outRec2 = m_PolyOuts[e2->OutIdx]; - - OutRec *holeStateRec; - if (OutRec1RightOfOutRec2(outRec1, outRec2)) - holeStateRec = outRec2; - else if (OutRec1RightOfOutRec2(outRec2, outRec1)) - holeStateRec = outRec1; - else - holeStateRec = GetLowermostRec(outRec1, outRec2); - - //get the start and ends of both output polygons and - //join e2 poly onto e1 poly and delete pointers to e2 ... - - OutPt* p1_lft = outRec1->Pts; - OutPt* p1_rt = p1_lft->Prev; - OutPt* p2_lft = outRec2->Pts; - OutPt* p2_rt = p2_lft->Prev; - - //join e2 poly onto e1 poly and delete pointers to e2 ... - if( e1->Side == esLeft ) - { - if( e2->Side == esLeft ) - { - //z y x a b c - ReversePolyPtLinks(p2_lft); - p2_lft->Next = p1_lft; - p1_lft->Prev = p2_lft; - p1_rt->Next = p2_rt; - p2_rt->Prev = p1_rt; - outRec1->Pts = p2_rt; - } else - { - //x y z a b c - p2_rt->Next = p1_lft; - p1_lft->Prev = p2_rt; - p2_lft->Prev = p1_rt; - p1_rt->Next = p2_lft; - outRec1->Pts = p2_lft; - } - } else - { - if( e2->Side == esRight ) - { - //a b c z y x - ReversePolyPtLinks(p2_lft); - p1_rt->Next = p2_rt; - p2_rt->Prev = p1_rt; - p2_lft->Next = p1_lft; - p1_lft->Prev = p2_lft; - } else - { - //a b c x y z - p1_rt->Next = p2_lft; - p2_lft->Prev = p1_rt; - p1_lft->Prev = p2_rt; - p2_rt->Next = p1_lft; - } - } - - outRec1->BottomPt = 0; - if (holeStateRec == outRec2) - { - if (outRec2->FirstLeft != outRec1) - outRec1->FirstLeft = outRec2->FirstLeft; - outRec1->IsHole = outRec2->IsHole; - } - outRec2->Pts = 0; - outRec2->BottomPt = 0; - outRec2->FirstLeft = outRec1; - - int OKIdx = e1->OutIdx; - int ObsoleteIdx = e2->OutIdx; - - e1->OutIdx = Unassigned; //nb: safe because we only get here via AddLocalMaxPoly - e2->OutIdx = Unassigned; - - TEdge* e = m_ActiveEdges; - while( e ) - { - if( e->OutIdx == ObsoleteIdx ) - { - e->OutIdx = OKIdx; - e->Side = e1->Side; - break; - } - e = e->NextInAEL; - } - - outRec2->Idx = outRec1->Idx; -} -//------------------------------------------------------------------------------ - -OutPt* Clipper::AddOutPt(TEdge *e, const IntPoint &pt) -{ - if( e->OutIdx < 0 ) - { - OutRec *outRec = CreateOutRec(); - outRec->IsOpen = (e->WindDelta == 0); - OutPt* newOp = new OutPt; - outRec->Pts = newOp; - newOp->Idx = outRec->Idx; - newOp->Pt = pt; - newOp->Next = newOp; - newOp->Prev = newOp; - if (!outRec->IsOpen) - SetHoleState(e, outRec); - e->OutIdx = outRec->Idx; - return newOp; - } else - { - OutRec *outRec = m_PolyOuts[e->OutIdx]; - //OutRec.Pts is the 'Left-most' point & OutRec.Pts.Prev is the 'Right-most' - OutPt* op = outRec->Pts; - - bool ToFront = (e->Side == esLeft); - if (ToFront && (pt == op->Pt)) return op; - else if (!ToFront && (pt == op->Prev->Pt)) return op->Prev; - - OutPt* newOp = new OutPt; - newOp->Idx = outRec->Idx; - newOp->Pt = pt; - newOp->Next = op; - newOp->Prev = op->Prev; - newOp->Prev->Next = newOp; - op->Prev = newOp; - if (ToFront) outRec->Pts = newOp; - return newOp; - } -} -//------------------------------------------------------------------------------ - -OutPt* Clipper::GetLastOutPt(TEdge *e) -{ - OutRec *outRec = m_PolyOuts[e->OutIdx]; - if (e->Side == esLeft) - return outRec->Pts; - else - return outRec->Pts->Prev; -} -//------------------------------------------------------------------------------ - -void Clipper::ProcessHorizontals() -{ - TEdge* horzEdge; - while (PopEdgeFromSEL(horzEdge)) - ProcessHorizontal(horzEdge); -} -//------------------------------------------------------------------------------ - -inline bool IsMinima(TEdge *e) -{ - return e && (e->Prev->NextInLML != e) && (e->Next->NextInLML != e); -} -//------------------------------------------------------------------------------ - -inline bool IsMaxima(TEdge *e, const cInt Y) -{ - return e && e->Top.Y == Y && !e->NextInLML; -} -//------------------------------------------------------------------------------ - -inline bool IsIntermediate(TEdge *e, const cInt Y) -{ - return e->Top.Y == Y && e->NextInLML; -} -//------------------------------------------------------------------------------ - -TEdge *GetMaximaPair(TEdge *e) -{ - if ((e->Next->Top == e->Top) && !e->Next->NextInLML) - return e->Next; - else if ((e->Prev->Top == e->Top) && !e->Prev->NextInLML) - return e->Prev; - else return 0; -} -//------------------------------------------------------------------------------ - -TEdge *GetMaximaPairEx(TEdge *e) -{ - //as GetMaximaPair() but returns 0 if MaxPair isn't in AEL (unless it's horizontal) - TEdge* result = GetMaximaPair(e); - if (result && (result->OutIdx == Skip || - (result->NextInAEL == result->PrevInAEL && !IsHorizontal(*result)))) return 0; - return result; -} -//------------------------------------------------------------------------------ - -void Clipper::SwapPositionsInSEL(TEdge *Edge1, TEdge *Edge2) -{ - if( !( Edge1->NextInSEL ) && !( Edge1->PrevInSEL ) ) return; - if( !( Edge2->NextInSEL ) && !( Edge2->PrevInSEL ) ) return; - - if( Edge1->NextInSEL == Edge2 ) - { - TEdge* Next = Edge2->NextInSEL; - if( Next ) Next->PrevInSEL = Edge1; - TEdge* Prev = Edge1->PrevInSEL; - if( Prev ) Prev->NextInSEL = Edge2; - Edge2->PrevInSEL = Prev; - Edge2->NextInSEL = Edge1; - Edge1->PrevInSEL = Edge2; - Edge1->NextInSEL = Next; - } - else if( Edge2->NextInSEL == Edge1 ) - { - TEdge* Next = Edge1->NextInSEL; - if( Next ) Next->PrevInSEL = Edge2; - TEdge* Prev = Edge2->PrevInSEL; - if( Prev ) Prev->NextInSEL = Edge1; - Edge1->PrevInSEL = Prev; - Edge1->NextInSEL = Edge2; - Edge2->PrevInSEL = Edge1; - Edge2->NextInSEL = Next; - } - else - { - TEdge* Next = Edge1->NextInSEL; - TEdge* Prev = Edge1->PrevInSEL; - Edge1->NextInSEL = Edge2->NextInSEL; - if( Edge1->NextInSEL ) Edge1->NextInSEL->PrevInSEL = Edge1; - Edge1->PrevInSEL = Edge2->PrevInSEL; - if( Edge1->PrevInSEL ) Edge1->PrevInSEL->NextInSEL = Edge1; - Edge2->NextInSEL = Next; - if( Edge2->NextInSEL ) Edge2->NextInSEL->PrevInSEL = Edge2; - Edge2->PrevInSEL = Prev; - if( Edge2->PrevInSEL ) Edge2->PrevInSEL->NextInSEL = Edge2; - } - - if( !Edge1->PrevInSEL ) m_SortedEdges = Edge1; - else if( !Edge2->PrevInSEL ) m_SortedEdges = Edge2; -} -//------------------------------------------------------------------------------ - -TEdge* GetNextInAEL(TEdge *e, Direction dir) -{ - return dir == dLeftToRight ? e->NextInAEL : e->PrevInAEL; -} -//------------------------------------------------------------------------------ - -void GetHorzDirection(TEdge& HorzEdge, Direction& Dir, cInt& Left, cInt& Right) -{ - if (HorzEdge.Bot.X < HorzEdge.Top.X) - { - Left = HorzEdge.Bot.X; - Right = HorzEdge.Top.X; - Dir = dLeftToRight; - } else - { - Left = HorzEdge.Top.X; - Right = HorzEdge.Bot.X; - Dir = dRightToLeft; - } -} -//------------------------------------------------------------------------ - -/******************************************************************************* -* Notes: Horizontal edges (HEs) at scanline intersections (ie at the Top or * -* Bottom of a scanbeam) are processed as if layered. The order in which HEs * -* are processed doesn't matter. HEs intersect with other HE Bot.Xs only [#] * -* (or they could intersect with Top.Xs only, ie EITHER Bot.Xs OR Top.Xs), * -* and with other non-horizontal edges [*]. Once these intersections are * -* processed, intermediate HEs then 'promote' the Edge above (NextInLML) into * -* the AEL. These 'promoted' edges may in turn intersect [%] with other HEs. * -*******************************************************************************/ - -void Clipper::ProcessHorizontal(TEdge *horzEdge) -{ - Direction dir; - cInt horzLeft, horzRight; - bool IsOpen = (horzEdge->WindDelta == 0); - - GetHorzDirection(*horzEdge, dir, horzLeft, horzRight); - - TEdge* eLastHorz = horzEdge, *eMaxPair = 0; - while (eLastHorz->NextInLML && IsHorizontal(*eLastHorz->NextInLML)) - eLastHorz = eLastHorz->NextInLML; - if (!eLastHorz->NextInLML) - eMaxPair = GetMaximaPair(eLastHorz); - - MaximaList::const_iterator maxIt; - MaximaList::const_reverse_iterator maxRit; - if (m_Maxima.size() > 0) - { - //get the first maxima in range (X) ... - if (dir == dLeftToRight) - { - maxIt = m_Maxima.begin(); - while (maxIt != m_Maxima.end() && *maxIt <= horzEdge->Bot.X) maxIt++; - if (maxIt != m_Maxima.end() && *maxIt >= eLastHorz->Top.X) - maxIt = m_Maxima.end(); - } - else - { - maxRit = m_Maxima.rbegin(); - while (maxRit != m_Maxima.rend() && *maxRit > horzEdge->Bot.X) maxRit++; - if (maxRit != m_Maxima.rend() && *maxRit <= eLastHorz->Top.X) - maxRit = m_Maxima.rend(); - } - } - - OutPt* op1 = 0; - - for (;;) //loop through consec. horizontal edges - { - - bool IsLastHorz = (horzEdge == eLastHorz); - TEdge* e = GetNextInAEL(horzEdge, dir); - while(e) - { - - //this code block inserts extra coords into horizontal edges (in output - //polygons) whereever maxima touch these horizontal edges. This helps - //'simplifying' polygons (ie if the Simplify property is set). - if (m_Maxima.size() > 0) - { - if (dir == dLeftToRight) - { - while (maxIt != m_Maxima.end() && *maxIt < e->Curr.X) - { - if (horzEdge->OutIdx >= 0 && !IsOpen) - AddOutPt(horzEdge, IntPoint(*maxIt, horzEdge->Bot.Y)); - maxIt++; - } - } - else - { - while (maxRit != m_Maxima.rend() && *maxRit > e->Curr.X) - { - if (horzEdge->OutIdx >= 0 && !IsOpen) - AddOutPt(horzEdge, IntPoint(*maxRit, horzEdge->Bot.Y)); - maxRit++; - } - } - }; - - if ((dir == dLeftToRight && e->Curr.X > horzRight) || - (dir == dRightToLeft && e->Curr.X < horzLeft)) break; - - //Also break if we've got to the end of an intermediate horizontal edge ... - //nb: Smaller Dx's are to the right of larger Dx's ABOVE the horizontal. - if (e->Curr.X == horzEdge->Top.X && horzEdge->NextInLML && - e->Dx < horzEdge->NextInLML->Dx) break; - - if (horzEdge->OutIdx >= 0 && !IsOpen) //note: may be done multiple times - { -#ifdef use_xyz - if (dir == dLeftToRight) SetZ(e->Curr, *horzEdge, *e); - else SetZ(e->Curr, *e, *horzEdge); -#endif - op1 = AddOutPt(horzEdge, e->Curr); - TEdge* eNextHorz = m_SortedEdges; - while (eNextHorz) - { - if (eNextHorz->OutIdx >= 0 && - HorzSegmentsOverlap(horzEdge->Bot.X, - horzEdge->Top.X, eNextHorz->Bot.X, eNextHorz->Top.X)) - { - OutPt* op2 = GetLastOutPt(eNextHorz); - AddJoin(op2, op1, eNextHorz->Top); - } - eNextHorz = eNextHorz->NextInSEL; - } - AddGhostJoin(op1, horzEdge->Bot); - } - - //OK, so far we're still in range of the horizontal Edge but make sure - //we're at the last of consec. horizontals when matching with eMaxPair - if(e == eMaxPair && IsLastHorz) - { - if (horzEdge->OutIdx >= 0) - AddLocalMaxPoly(horzEdge, eMaxPair, horzEdge->Top); - DeleteFromAEL(horzEdge); - DeleteFromAEL(eMaxPair); - return; - } - - if(dir == dLeftToRight) - { - IntPoint Pt = IntPoint(e->Curr.X, horzEdge->Curr.Y); - IntersectEdges(horzEdge, e, Pt); - } - else - { - IntPoint Pt = IntPoint(e->Curr.X, horzEdge->Curr.Y); - IntersectEdges( e, horzEdge, Pt); - } - TEdge* eNext = GetNextInAEL(e, dir); - SwapPositionsInAEL( horzEdge, e ); - e = eNext; - } //end while(e) - - //Break out of loop if HorzEdge.NextInLML is not also horizontal ... - if (!horzEdge->NextInLML || !IsHorizontal(*horzEdge->NextInLML)) break; - - UpdateEdgeIntoAEL(horzEdge); - if (horzEdge->OutIdx >= 0) AddOutPt(horzEdge, horzEdge->Bot); - GetHorzDirection(*horzEdge, dir, horzLeft, horzRight); - - } //end for (;;) - - if (horzEdge->OutIdx >= 0 && !op1) - { - op1 = GetLastOutPt(horzEdge); - TEdge* eNextHorz = m_SortedEdges; - while (eNextHorz) - { - if (eNextHorz->OutIdx >= 0 && - HorzSegmentsOverlap(horzEdge->Bot.X, - horzEdge->Top.X, eNextHorz->Bot.X, eNextHorz->Top.X)) - { - OutPt* op2 = GetLastOutPt(eNextHorz); - AddJoin(op2, op1, eNextHorz->Top); - } - eNextHorz = eNextHorz->NextInSEL; - } - AddGhostJoin(op1, horzEdge->Top); - } - - if (horzEdge->NextInLML) - { - if(horzEdge->OutIdx >= 0) - { - op1 = AddOutPt( horzEdge, horzEdge->Top); - UpdateEdgeIntoAEL(horzEdge); - if (horzEdge->WindDelta == 0) return; - //nb: HorzEdge is no longer horizontal here - TEdge* ePrev = horzEdge->PrevInAEL; - TEdge* eNext = horzEdge->NextInAEL; - if (ePrev && ePrev->Curr.X == horzEdge->Bot.X && - ePrev->Curr.Y == horzEdge->Bot.Y && ePrev->WindDelta != 0 && - (ePrev->OutIdx >= 0 && ePrev->Curr.Y > ePrev->Top.Y && - SlopesEqual(*horzEdge, *ePrev, m_UseFullRange))) - { - OutPt* op2 = AddOutPt(ePrev, horzEdge->Bot); - AddJoin(op1, op2, horzEdge->Top); - } - else if (eNext && eNext->Curr.X == horzEdge->Bot.X && - eNext->Curr.Y == horzEdge->Bot.Y && eNext->WindDelta != 0 && - eNext->OutIdx >= 0 && eNext->Curr.Y > eNext->Top.Y && - SlopesEqual(*horzEdge, *eNext, m_UseFullRange)) - { - OutPt* op2 = AddOutPt(eNext, horzEdge->Bot); - AddJoin(op1, op2, horzEdge->Top); - } - } - else - UpdateEdgeIntoAEL(horzEdge); - } - else - { - if (horzEdge->OutIdx >= 0) AddOutPt(horzEdge, horzEdge->Top); - DeleteFromAEL(horzEdge); - } -} -//------------------------------------------------------------------------------ - -bool Clipper::ProcessIntersections(const cInt topY) -{ - if( !m_ActiveEdges ) return true; - try { - BuildIntersectList(topY); - size_t IlSize = m_IntersectList.size(); - if (IlSize == 0) return true; - if (IlSize == 1 || FixupIntersectionOrder()) ProcessIntersectList(); - else return false; - } - catch(...) - { - m_SortedEdges = 0; - DisposeIntersectNodes(); - throw clipperException("ProcessIntersections error"); - } - m_SortedEdges = 0; - return true; -} -//------------------------------------------------------------------------------ - -void Clipper::DisposeIntersectNodes() -{ - for (size_t i = 0; i < m_IntersectList.size(); ++i ) - delete m_IntersectList[i]; - m_IntersectList.clear(); -} -//------------------------------------------------------------------------------ - -void Clipper::BuildIntersectList(const cInt topY) -{ - if ( !m_ActiveEdges ) return; - - //prepare for sorting ... - TEdge* e = m_ActiveEdges; - m_SortedEdges = e; - while( e ) - { - e->PrevInSEL = e->PrevInAEL; - e->NextInSEL = e->NextInAEL; - e->Curr.X = TopX( *e, topY ); - e = e->NextInAEL; - } - - //bubblesort ... - bool isModified; - do - { - isModified = false; - e = m_SortedEdges; - while( e->NextInSEL ) - { - TEdge *eNext = e->NextInSEL; - IntPoint Pt; - if(e->Curr.X > eNext->Curr.X) - { - IntersectPoint(*e, *eNext, Pt); - if (Pt.Y < topY) Pt = IntPoint(TopX(*e, topY), topY); - IntersectNode * newNode = new IntersectNode; - newNode->Edge1 = e; - newNode->Edge2 = eNext; - newNode->Pt = Pt; - m_IntersectList.push_back(newNode); - - SwapPositionsInSEL(e, eNext); - isModified = true; - } - else - e = eNext; - } - if( e->PrevInSEL ) e->PrevInSEL->NextInSEL = 0; - else break; - } - while ( isModified ); - m_SortedEdges = 0; //important -} -//------------------------------------------------------------------------------ - - -void Clipper::ProcessIntersectList() -{ - for (size_t i = 0; i < m_IntersectList.size(); ++i) - { - IntersectNode* iNode = m_IntersectList[i]; - { - IntersectEdges( iNode->Edge1, iNode->Edge2, iNode->Pt); - SwapPositionsInAEL( iNode->Edge1 , iNode->Edge2 ); - } - delete iNode; - } - m_IntersectList.clear(); -} -//------------------------------------------------------------------------------ - -bool IntersectListSort(IntersectNode* node1, IntersectNode* node2) -{ - return node2->Pt.Y < node1->Pt.Y; -} -//------------------------------------------------------------------------------ - -inline bool EdgesAdjacent(const IntersectNode &inode) -{ - return (inode.Edge1->NextInSEL == inode.Edge2) || - (inode.Edge1->PrevInSEL == inode.Edge2); -} -//------------------------------------------------------------------------------ - -bool Clipper::FixupIntersectionOrder() -{ - //pre-condition: intersections are sorted Bottom-most first. - //Now it's crucial that intersections are made only between adjacent edges, - //so to ensure this the order of intersections may need adjusting ... - CopyAELToSEL(); - std::sort(m_IntersectList.begin(), m_IntersectList.end(), IntersectListSort); - size_t cnt = m_IntersectList.size(); - for (size_t i = 0; i < cnt; ++i) - { - if (!EdgesAdjacent(*m_IntersectList[i])) - { - size_t j = i + 1; - while (j < cnt && !EdgesAdjacent(*m_IntersectList[j])) j++; - if (j == cnt) return false; - std::swap(m_IntersectList[i], m_IntersectList[j]); - } - SwapPositionsInSEL(m_IntersectList[i]->Edge1, m_IntersectList[i]->Edge2); - } - return true; -} -//------------------------------------------------------------------------------ - -void Clipper::DoMaxima(TEdge *e) -{ - TEdge* eMaxPair = GetMaximaPairEx(e); - if (!eMaxPair) - { - if (e->OutIdx >= 0) - AddOutPt(e, e->Top); - DeleteFromAEL(e); - return; - } - - TEdge* eNext = e->NextInAEL; - while(eNext && eNext != eMaxPair) - { - IntersectEdges(e, eNext, e->Top); - SwapPositionsInAEL(e, eNext); - eNext = e->NextInAEL; - } - - if(e->OutIdx == Unassigned && eMaxPair->OutIdx == Unassigned) - { - DeleteFromAEL(e); - DeleteFromAEL(eMaxPair); - } - else if( e->OutIdx >= 0 && eMaxPair->OutIdx >= 0 ) - { - if (e->OutIdx >= 0) AddLocalMaxPoly(e, eMaxPair, e->Top); - DeleteFromAEL(e); - DeleteFromAEL(eMaxPair); - } -#ifdef use_lines - else if (e->WindDelta == 0) - { - if (e->OutIdx >= 0) - { - AddOutPt(e, e->Top); - e->OutIdx = Unassigned; - } - DeleteFromAEL(e); - - if (eMaxPair->OutIdx >= 0) - { - AddOutPt(eMaxPair, e->Top); - eMaxPair->OutIdx = Unassigned; - } - DeleteFromAEL(eMaxPair); - } -#endif - else throw clipperException("DoMaxima error"); -} -//------------------------------------------------------------------------------ - -void Clipper::ProcessEdgesAtTopOfScanbeam(const cInt topY) -{ - TEdge* e = m_ActiveEdges; - while( e ) - { - //1. process maxima, treating them as if they're 'bent' horizontal edges, - // but exclude maxima with horizontal edges. nb: e can't be a horizontal. - bool IsMaximaEdge = IsMaxima(e, topY); - - if(IsMaximaEdge) - { - TEdge* eMaxPair = GetMaximaPairEx(e); - IsMaximaEdge = (!eMaxPair || !IsHorizontal(*eMaxPair)); - } - - if(IsMaximaEdge) - { - if (m_StrictSimple) m_Maxima.push_back(e->Top.X); - TEdge* ePrev = e->PrevInAEL; - DoMaxima(e); - if( !ePrev ) e = m_ActiveEdges; - else e = ePrev->NextInAEL; - } - else - { - //2. promote horizontal edges, otherwise update Curr.X and Curr.Y ... - if (IsIntermediate(e, topY) && IsHorizontal(*e->NextInLML)) - { - UpdateEdgeIntoAEL(e); - if (e->OutIdx >= 0) - AddOutPt(e, e->Bot); - AddEdgeToSEL(e); - } - else - { - e->Curr.X = TopX( *e, topY ); - e->Curr.Y = topY; -#ifdef use_xyz - e->Curr.Z = topY == e->Top.Y ? e->Top.Z : (topY == e->Bot.Y ? e->Bot.Z : 0); -#endif - } - - //When StrictlySimple and 'e' is being touched by another edge, then - //make sure both edges have a vertex here ... - if (m_StrictSimple) - { - TEdge* ePrev = e->PrevInAEL; - if ((e->OutIdx >= 0) && (e->WindDelta != 0) && ePrev && (ePrev->OutIdx >= 0) && - (ePrev->Curr.X == e->Curr.X) && (ePrev->WindDelta != 0)) - { - IntPoint pt = e->Curr; -#ifdef use_xyz - SetZ(pt, *ePrev, *e); -#endif - OutPt* op = AddOutPt(ePrev, pt); - OutPt* op2 = AddOutPt(e, pt); - AddJoin(op, op2, pt); //StrictlySimple (type-3) join - } - } - - e = e->NextInAEL; - } - } - - //3. Process horizontals at the Top of the scanbeam ... - m_Maxima.sort(); - ProcessHorizontals(); - m_Maxima.clear(); - - //4. Promote intermediate vertices ... - e = m_ActiveEdges; - while(e) - { - if(IsIntermediate(e, topY)) - { - OutPt* op = 0; - if( e->OutIdx >= 0 ) - op = AddOutPt(e, e->Top); - UpdateEdgeIntoAEL(e); - - //if output polygons share an edge, they'll need joining later ... - TEdge* ePrev = e->PrevInAEL; - TEdge* eNext = e->NextInAEL; - if (ePrev && ePrev->Curr.X == e->Bot.X && - ePrev->Curr.Y == e->Bot.Y && op && - ePrev->OutIdx >= 0 && ePrev->Curr.Y > ePrev->Top.Y && - SlopesEqual(e->Curr, e->Top, ePrev->Curr, ePrev->Top, m_UseFullRange) && - (e->WindDelta != 0) && (ePrev->WindDelta != 0)) - { - OutPt* op2 = AddOutPt(ePrev, e->Bot); - AddJoin(op, op2, e->Top); - } - else if (eNext && eNext->Curr.X == e->Bot.X && - eNext->Curr.Y == e->Bot.Y && op && - eNext->OutIdx >= 0 && eNext->Curr.Y > eNext->Top.Y && - SlopesEqual(e->Curr, e->Top, eNext->Curr, eNext->Top, m_UseFullRange) && - (e->WindDelta != 0) && (eNext->WindDelta != 0)) - { - OutPt* op2 = AddOutPt(eNext, e->Bot); - AddJoin(op, op2, e->Top); - } - } - e = e->NextInAEL; - } -} -//------------------------------------------------------------------------------ - -void Clipper::FixupOutPolyline(OutRec &outrec) -{ - OutPt *pp = outrec.Pts; - OutPt *lastPP = pp->Prev; - while (pp != lastPP) - { - pp = pp->Next; - if (pp->Pt == pp->Prev->Pt) - { - if (pp == lastPP) lastPP = pp->Prev; - OutPt *tmpPP = pp->Prev; - tmpPP->Next = pp->Next; - pp->Next->Prev = tmpPP; - delete pp; - pp = tmpPP; - } - } - - if (pp == pp->Prev) - { - DisposeOutPts(pp); - outrec.Pts = 0; - return; - } -} -//------------------------------------------------------------------------------ - -void Clipper::FixupOutPolygon(OutRec &outrec) -{ - //FixupOutPolygon() - removes duplicate points and simplifies consecutive - //parallel edges by removing the middle vertex. - OutPt *lastOK = 0; - outrec.BottomPt = 0; - OutPt *pp = outrec.Pts; - bool preserveCol = m_PreserveCollinear || m_StrictSimple; - - for (;;) - { - if (pp->Prev == pp || pp->Prev == pp->Next) - { - DisposeOutPts(pp); - outrec.Pts = 0; - return; - } - - //test for duplicate points and collinear edges ... - if ((pp->Pt == pp->Next->Pt) || (pp->Pt == pp->Prev->Pt) || - (SlopesEqual(pp->Prev->Pt, pp->Pt, pp->Next->Pt, m_UseFullRange) && - (!preserveCol || !Pt2IsBetweenPt1AndPt3(pp->Prev->Pt, pp->Pt, pp->Next->Pt)))) - { - lastOK = 0; - OutPt *tmp = pp; - pp->Prev->Next = pp->Next; - pp->Next->Prev = pp->Prev; - pp = pp->Prev; - delete tmp; - } - else if (pp == lastOK) break; - else - { - if (!lastOK) lastOK = pp; - pp = pp->Next; - } - } - outrec.Pts = pp; -} -//------------------------------------------------------------------------------ - -int PointCount(OutPt *Pts) -{ - if (!Pts) return 0; - int result = 0; - OutPt* p = Pts; - do - { - result++; - p = p->Next; - } - while (p != Pts); - return result; -} -//------------------------------------------------------------------------------ - -void Clipper::BuildResult(Paths &polys) -{ - polys.reserve(m_PolyOuts.size()); - for (PolyOutList::size_type i = 0; i < m_PolyOuts.size(); ++i) - { - if (!m_PolyOuts[i]->Pts) continue; - Path pg; - OutPt* p = m_PolyOuts[i]->Pts->Prev; - int cnt = PointCount(p); - if (cnt < 2) continue; - pg.reserve(cnt); - for (int i = 0; i < cnt; ++i) - { - pg.push_back(p->Pt); - p = p->Prev; - } - polys.push_back(pg); - } -} -//------------------------------------------------------------------------------ - -void Clipper::BuildResult2(PolyTree& polytree) -{ - polytree.Clear(); - polytree.AllNodes.reserve(m_PolyOuts.size()); - //add each output polygon/contour to polytree ... - for (PolyOutList::size_type i = 0; i < m_PolyOuts.size(); i++) - { - OutRec* outRec = m_PolyOuts[i]; - int cnt = PointCount(outRec->Pts); - if ((outRec->IsOpen && cnt < 2) || (!outRec->IsOpen && cnt < 3)) continue; - FixHoleLinkage(*outRec); - PolyNode* pn = new PolyNode(); - //nb: polytree takes ownership of all the PolyNodes - polytree.AllNodes.push_back(pn); - outRec->PolyNd = pn; - pn->Parent = 0; - pn->Index = 0; - pn->Contour.reserve(cnt); - OutPt *op = outRec->Pts->Prev; - for (int j = 0; j < cnt; j++) - { - pn->Contour.push_back(op->Pt); - op = op->Prev; - } - } - - //fixup PolyNode links etc ... - polytree.Childs.reserve(m_PolyOuts.size()); - for (PolyOutList::size_type i = 0; i < m_PolyOuts.size(); i++) - { - OutRec* outRec = m_PolyOuts[i]; - if (!outRec->PolyNd) continue; - if (outRec->IsOpen) - { - outRec->PolyNd->m_IsOpen = true; - polytree.AddChild(*outRec->PolyNd); - } - else if (outRec->FirstLeft && outRec->FirstLeft->PolyNd) - outRec->FirstLeft->PolyNd->AddChild(*outRec->PolyNd); - else - polytree.AddChild(*outRec->PolyNd); - } -} -//------------------------------------------------------------------------------ - -void SwapIntersectNodes(IntersectNode &int1, IntersectNode &int2) -{ - //just swap the contents (because fIntersectNodes is a single-linked-list) - IntersectNode inode = int1; //gets a copy of Int1 - int1.Edge1 = int2.Edge1; - int1.Edge2 = int2.Edge2; - int1.Pt = int2.Pt; - int2.Edge1 = inode.Edge1; - int2.Edge2 = inode.Edge2; - int2.Pt = inode.Pt; -} -//------------------------------------------------------------------------------ - -inline bool E2InsertsBeforeE1(TEdge &e1, TEdge &e2) -{ - if (e2.Curr.X == e1.Curr.X) - { - if (e2.Top.Y > e1.Top.Y) - return e2.Top.X < TopX(e1, e2.Top.Y); - else return e1.Top.X > TopX(e2, e1.Top.Y); - } - else return e2.Curr.X < e1.Curr.X; -} -//------------------------------------------------------------------------------ - -bool GetOverlap(const cInt a1, const cInt a2, const cInt b1, const cInt b2, - cInt& Left, cInt& Right) -{ - if (a1 < a2) - { - if (b1 < b2) {Left = std::max(a1,b1); Right = std::min(a2,b2);} - else {Left = std::max(a1,b2); Right = std::min(a2,b1);} - } - else - { - if (b1 < b2) {Left = std::max(a2,b1); Right = std::min(a1,b2);} - else {Left = std::max(a2,b2); Right = std::min(a1,b1);} - } - return Left < Right; -} -//------------------------------------------------------------------------------ - -inline void UpdateOutPtIdxs(OutRec& outrec) -{ - OutPt* op = outrec.Pts; - do - { - op->Idx = outrec.Idx; - op = op->Prev; - } - while(op != outrec.Pts); -} -//------------------------------------------------------------------------------ - -void Clipper::InsertEdgeIntoAEL(TEdge *edge, TEdge* startEdge) -{ - if(!m_ActiveEdges) - { - edge->PrevInAEL = 0; - edge->NextInAEL = 0; - m_ActiveEdges = edge; - } - else if(!startEdge && E2InsertsBeforeE1(*m_ActiveEdges, *edge)) - { - edge->PrevInAEL = 0; - edge->NextInAEL = m_ActiveEdges; - m_ActiveEdges->PrevInAEL = edge; - m_ActiveEdges = edge; - } - else - { - if(!startEdge) startEdge = m_ActiveEdges; - while(startEdge->NextInAEL && - !E2InsertsBeforeE1(*startEdge->NextInAEL , *edge)) - startEdge = startEdge->NextInAEL; - edge->NextInAEL = startEdge->NextInAEL; - if(startEdge->NextInAEL) startEdge->NextInAEL->PrevInAEL = edge; - edge->PrevInAEL = startEdge; - startEdge->NextInAEL = edge; - } -} -//---------------------------------------------------------------------- - -OutPt* DupOutPt(OutPt* outPt, bool InsertAfter) -{ - OutPt* result = new OutPt; - result->Pt = outPt->Pt; - result->Idx = outPt->Idx; - if (InsertAfter) - { - result->Next = outPt->Next; - result->Prev = outPt; - outPt->Next->Prev = result; - outPt->Next = result; - } - else - { - result->Prev = outPt->Prev; - result->Next = outPt; - outPt->Prev->Next = result; - outPt->Prev = result; - } - return result; -} -//------------------------------------------------------------------------------ - -bool JoinHorz(OutPt* op1, OutPt* op1b, OutPt* op2, OutPt* op2b, - const IntPoint Pt, bool DiscardLeft) -{ - Direction Dir1 = (op1->Pt.X > op1b->Pt.X ? dRightToLeft : dLeftToRight); - Direction Dir2 = (op2->Pt.X > op2b->Pt.X ? dRightToLeft : dLeftToRight); - if (Dir1 == Dir2) return false; - - //When DiscardLeft, we want Op1b to be on the Left of Op1, otherwise we - //want Op1b to be on the Right. (And likewise with Op2 and Op2b.) - //So, to facilitate this while inserting Op1b and Op2b ... - //when DiscardLeft, make sure we're AT or RIGHT of Pt before adding Op1b, - //otherwise make sure we're AT or LEFT of Pt. (Likewise with Op2b.) - if (Dir1 == dLeftToRight) - { - while (op1->Next->Pt.X <= Pt.X && - op1->Next->Pt.X >= op1->Pt.X && op1->Next->Pt.Y == Pt.Y) - op1 = op1->Next; - if (DiscardLeft && (op1->Pt.X != Pt.X)) op1 = op1->Next; - op1b = DupOutPt(op1, !DiscardLeft); - if (op1b->Pt != Pt) - { - op1 = op1b; - op1->Pt = Pt; - op1b = DupOutPt(op1, !DiscardLeft); - } - } - else - { - while (op1->Next->Pt.X >= Pt.X && - op1->Next->Pt.X <= op1->Pt.X && op1->Next->Pt.Y == Pt.Y) - op1 = op1->Next; - if (!DiscardLeft && (op1->Pt.X != Pt.X)) op1 = op1->Next; - op1b = DupOutPt(op1, DiscardLeft); - if (op1b->Pt != Pt) - { - op1 = op1b; - op1->Pt = Pt; - op1b = DupOutPt(op1, DiscardLeft); - } - } - - if (Dir2 == dLeftToRight) - { - while (op2->Next->Pt.X <= Pt.X && - op2->Next->Pt.X >= op2->Pt.X && op2->Next->Pt.Y == Pt.Y) - op2 = op2->Next; - if (DiscardLeft && (op2->Pt.X != Pt.X)) op2 = op2->Next; - op2b = DupOutPt(op2, !DiscardLeft); - if (op2b->Pt != Pt) - { - op2 = op2b; - op2->Pt = Pt; - op2b = DupOutPt(op2, !DiscardLeft); - }; - } else - { - while (op2->Next->Pt.X >= Pt.X && - op2->Next->Pt.X <= op2->Pt.X && op2->Next->Pt.Y == Pt.Y) - op2 = op2->Next; - if (!DiscardLeft && (op2->Pt.X != Pt.X)) op2 = op2->Next; - op2b = DupOutPt(op2, DiscardLeft); - if (op2b->Pt != Pt) - { - op2 = op2b; - op2->Pt = Pt; - op2b = DupOutPt(op2, DiscardLeft); - }; - }; - - if ((Dir1 == dLeftToRight) == DiscardLeft) - { - op1->Prev = op2; - op2->Next = op1; - op1b->Next = op2b; - op2b->Prev = op1b; - } - else - { - op1->Next = op2; - op2->Prev = op1; - op1b->Prev = op2b; - op2b->Next = op1b; - } - return true; -} -//------------------------------------------------------------------------------ - -bool Clipper::JoinPoints(Join *j, OutRec* outRec1, OutRec* outRec2) -{ - OutPt *op1 = j->OutPt1, *op1b; - OutPt *op2 = j->OutPt2, *op2b; - - //There are 3 kinds of joins for output polygons ... - //1. Horizontal joins where Join.OutPt1 & Join.OutPt2 are vertices anywhere - //along (horizontal) collinear edges (& Join.OffPt is on the same horizontal). - //2. Non-horizontal joins where Join.OutPt1 & Join.OutPt2 are at the same - //location at the Bottom of the overlapping segment (& Join.OffPt is above). - //3. StrictSimple joins where edges touch but are not collinear and where - //Join.OutPt1, Join.OutPt2 & Join.OffPt all share the same point. - bool isHorizontal = (j->OutPt1->Pt.Y == j->OffPt.Y); - - if (isHorizontal && (j->OffPt == j->OutPt1->Pt) && - (j->OffPt == j->OutPt2->Pt)) - { - //Strictly Simple join ... - if (outRec1 != outRec2) return false; - op1b = j->OutPt1->Next; - while (op1b != op1 && (op1b->Pt == j->OffPt)) - op1b = op1b->Next; - bool reverse1 = (op1b->Pt.Y > j->OffPt.Y); - op2b = j->OutPt2->Next; - while (op2b != op2 && (op2b->Pt == j->OffPt)) - op2b = op2b->Next; - bool reverse2 = (op2b->Pt.Y > j->OffPt.Y); - if (reverse1 == reverse2) return false; - if (reverse1) - { - op1b = DupOutPt(op1, false); - op2b = DupOutPt(op2, true); - op1->Prev = op2; - op2->Next = op1; - op1b->Next = op2b; - op2b->Prev = op1b; - j->OutPt1 = op1; - j->OutPt2 = op1b; - return true; - } else - { - op1b = DupOutPt(op1, true); - op2b = DupOutPt(op2, false); - op1->Next = op2; - op2->Prev = op1; - op1b->Prev = op2b; - op2b->Next = op1b; - j->OutPt1 = op1; - j->OutPt2 = op1b; - return true; - } - } - else if (isHorizontal) - { - //treat horizontal joins differently to non-horizontal joins since with - //them we're not yet sure where the overlapping is. OutPt1.Pt & OutPt2.Pt - //may be anywhere along the horizontal edge. - op1b = op1; - while (op1->Prev->Pt.Y == op1->Pt.Y && op1->Prev != op1b && op1->Prev != op2) - op1 = op1->Prev; - while (op1b->Next->Pt.Y == op1b->Pt.Y && op1b->Next != op1 && op1b->Next != op2) - op1b = op1b->Next; - if (op1b->Next == op1 || op1b->Next == op2) return false; //a flat 'polygon' - - op2b = op2; - while (op2->Prev->Pt.Y == op2->Pt.Y && op2->Prev != op2b && op2->Prev != op1b) - op2 = op2->Prev; - while (op2b->Next->Pt.Y == op2b->Pt.Y && op2b->Next != op2 && op2b->Next != op1) - op2b = op2b->Next; - if (op2b->Next == op2 || op2b->Next == op1) return false; //a flat 'polygon' - - cInt Left, Right; - //Op1 --> Op1b & Op2 --> Op2b are the extremites of the horizontal edges - if (!GetOverlap(op1->Pt.X, op1b->Pt.X, op2->Pt.X, op2b->Pt.X, Left, Right)) - return false; - - //DiscardLeftSide: when overlapping edges are joined, a spike will created - //which needs to be cleaned up. However, we don't want Op1 or Op2 caught up - //on the discard Side as either may still be needed for other joins ... - IntPoint Pt; - bool DiscardLeftSide; - if (op1->Pt.X >= Left && op1->Pt.X <= Right) - { - Pt = op1->Pt; DiscardLeftSide = (op1->Pt.X > op1b->Pt.X); - } - else if (op2->Pt.X >= Left&& op2->Pt.X <= Right) - { - Pt = op2->Pt; DiscardLeftSide = (op2->Pt.X > op2b->Pt.X); - } - else if (op1b->Pt.X >= Left && op1b->Pt.X <= Right) - { - Pt = op1b->Pt; DiscardLeftSide = op1b->Pt.X > op1->Pt.X; - } - else - { - Pt = op2b->Pt; DiscardLeftSide = (op2b->Pt.X > op2->Pt.X); - } - j->OutPt1 = op1; j->OutPt2 = op2; - return JoinHorz(op1, op1b, op2, op2b, Pt, DiscardLeftSide); - } else - { - //nb: For non-horizontal joins ... - // 1. Jr.OutPt1.Pt.Y == Jr.OutPt2.Pt.Y - // 2. Jr.OutPt1.Pt > Jr.OffPt.Y - - //make sure the polygons are correctly oriented ... - op1b = op1->Next; - while ((op1b->Pt == op1->Pt) && (op1b != op1)) op1b = op1b->Next; - bool Reverse1 = ((op1b->Pt.Y > op1->Pt.Y) || - !SlopesEqual(op1->Pt, op1b->Pt, j->OffPt, m_UseFullRange)); - if (Reverse1) - { - op1b = op1->Prev; - while ((op1b->Pt == op1->Pt) && (op1b != op1)) op1b = op1b->Prev; - if ((op1b->Pt.Y > op1->Pt.Y) || - !SlopesEqual(op1->Pt, op1b->Pt, j->OffPt, m_UseFullRange)) return false; - }; - op2b = op2->Next; - while ((op2b->Pt == op2->Pt) && (op2b != op2))op2b = op2b->Next; - bool Reverse2 = ((op2b->Pt.Y > op2->Pt.Y) || - !SlopesEqual(op2->Pt, op2b->Pt, j->OffPt, m_UseFullRange)); - if (Reverse2) - { - op2b = op2->Prev; - while ((op2b->Pt == op2->Pt) && (op2b != op2)) op2b = op2b->Prev; - if ((op2b->Pt.Y > op2->Pt.Y) || - !SlopesEqual(op2->Pt, op2b->Pt, j->OffPt, m_UseFullRange)) return false; - } - - if ((op1b == op1) || (op2b == op2) || (op1b == op2b) || - ((outRec1 == outRec2) && (Reverse1 == Reverse2))) return false; - - if (Reverse1) - { - op1b = DupOutPt(op1, false); - op2b = DupOutPt(op2, true); - op1->Prev = op2; - op2->Next = op1; - op1b->Next = op2b; - op2b->Prev = op1b; - j->OutPt1 = op1; - j->OutPt2 = op1b; - return true; - } else - { - op1b = DupOutPt(op1, true); - op2b = DupOutPt(op2, false); - op1->Next = op2; - op2->Prev = op1; - op1b->Prev = op2b; - op2b->Next = op1b; - j->OutPt1 = op1; - j->OutPt2 = op1b; - return true; - } - } -} -//---------------------------------------------------------------------- - -static OutRec* ParseFirstLeft(OutRec* FirstLeft) -{ - while (FirstLeft && !FirstLeft->Pts) - FirstLeft = FirstLeft->FirstLeft; - return FirstLeft; -} -//------------------------------------------------------------------------------ - -void Clipper::FixupFirstLefts1(OutRec* OldOutRec, OutRec* NewOutRec) -{ - //tests if NewOutRec contains the polygon before reassigning FirstLeft - for (PolyOutList::size_type i = 0; i < m_PolyOuts.size(); ++i) - { - OutRec* outRec = m_PolyOuts[i]; - OutRec* firstLeft = ParseFirstLeft(outRec->FirstLeft); - if (outRec->Pts && firstLeft == OldOutRec) - { - if (Poly2ContainsPoly1(outRec->Pts, NewOutRec->Pts)) - outRec->FirstLeft = NewOutRec; - } - } -} -//---------------------------------------------------------------------- - -void Clipper::FixupFirstLefts2(OutRec* InnerOutRec, OutRec* OuterOutRec) -{ - //A polygon has split into two such that one is now the inner of the other. - //It's possible that these polygons now wrap around other polygons, so check - //every polygon that's also contained by OuterOutRec's FirstLeft container - //(including 0) to see if they've become inner to the new inner polygon ... - OutRec* orfl = OuterOutRec->FirstLeft; - for (PolyOutList::size_type i = 0; i < m_PolyOuts.size(); ++i) - { - OutRec* outRec = m_PolyOuts[i]; - - if (!outRec->Pts || outRec == OuterOutRec || outRec == InnerOutRec) - continue; - OutRec* firstLeft = ParseFirstLeft(outRec->FirstLeft); - if (firstLeft != orfl && firstLeft != InnerOutRec && firstLeft != OuterOutRec) - continue; - if (Poly2ContainsPoly1(outRec->Pts, InnerOutRec->Pts)) - outRec->FirstLeft = InnerOutRec; - else if (Poly2ContainsPoly1(outRec->Pts, OuterOutRec->Pts)) - outRec->FirstLeft = OuterOutRec; - else if (outRec->FirstLeft == InnerOutRec || outRec->FirstLeft == OuterOutRec) - outRec->FirstLeft = orfl; - } -} -//---------------------------------------------------------------------- -void Clipper::FixupFirstLefts3(OutRec* OldOutRec, OutRec* NewOutRec) -{ - //reassigns FirstLeft WITHOUT testing if NewOutRec contains the polygon - for (PolyOutList::size_type i = 0; i < m_PolyOuts.size(); ++i) - { - OutRec* outRec = m_PolyOuts[i]; - OutRec* firstLeft = ParseFirstLeft(outRec->FirstLeft); - if (outRec->Pts && firstLeft == OldOutRec) - outRec->FirstLeft = NewOutRec; - } -} -//---------------------------------------------------------------------- - -void Clipper::JoinCommonEdges() -{ - for (JoinList::size_type i = 0; i < m_Joins.size(); i++) - { - Join* join = m_Joins[i]; - - OutRec *outRec1 = GetOutRec(join->OutPt1->Idx); - OutRec *outRec2 = GetOutRec(join->OutPt2->Idx); - - if (!outRec1->Pts || !outRec2->Pts) continue; - if (outRec1->IsOpen || outRec2->IsOpen) continue; - - //get the polygon fragment with the correct hole state (FirstLeft) - //before calling JoinPoints() ... - OutRec *holeStateRec; - if (outRec1 == outRec2) holeStateRec = outRec1; - else if (OutRec1RightOfOutRec2(outRec1, outRec2)) holeStateRec = outRec2; - else if (OutRec1RightOfOutRec2(outRec2, outRec1)) holeStateRec = outRec1; - else holeStateRec = GetLowermostRec(outRec1, outRec2); - - if (!JoinPoints(join, outRec1, outRec2)) continue; - - if (outRec1 == outRec2) - { - //instead of joining two polygons, we've just created a new one by - //splitting one polygon into two. - outRec1->Pts = join->OutPt1; - outRec1->BottomPt = 0; - outRec2 = CreateOutRec(); - outRec2->Pts = join->OutPt2; - - //update all OutRec2.Pts Idx's ... - UpdateOutPtIdxs(*outRec2); - - if (Poly2ContainsPoly1(outRec2->Pts, outRec1->Pts)) - { - //outRec1 contains outRec2 ... - outRec2->IsHole = !outRec1->IsHole; - outRec2->FirstLeft = outRec1; - - if (m_UsingPolyTree) FixupFirstLefts2(outRec2, outRec1); - - if ((outRec2->IsHole ^ m_ReverseOutput) == (Area(*outRec2) > 0)) - ReversePolyPtLinks(outRec2->Pts); - - } else if (Poly2ContainsPoly1(outRec1->Pts, outRec2->Pts)) - { - //outRec2 contains outRec1 ... - outRec2->IsHole = outRec1->IsHole; - outRec1->IsHole = !outRec2->IsHole; - outRec2->FirstLeft = outRec1->FirstLeft; - outRec1->FirstLeft = outRec2; - - if (m_UsingPolyTree) FixupFirstLefts2(outRec1, outRec2); - - if ((outRec1->IsHole ^ m_ReverseOutput) == (Area(*outRec1) > 0)) - ReversePolyPtLinks(outRec1->Pts); - } - else - { - //the 2 polygons are completely separate ... - outRec2->IsHole = outRec1->IsHole; - outRec2->FirstLeft = outRec1->FirstLeft; - - //fixup FirstLeft pointers that may need reassigning to OutRec2 - if (m_UsingPolyTree) FixupFirstLefts1(outRec1, outRec2); - } - - } else - { - //joined 2 polygons together ... - - outRec2->Pts = 0; - outRec2->BottomPt = 0; - outRec2->Idx = outRec1->Idx; - - outRec1->IsHole = holeStateRec->IsHole; - if (holeStateRec == outRec2) - outRec1->FirstLeft = outRec2->FirstLeft; - outRec2->FirstLeft = outRec1; - - if (m_UsingPolyTree) FixupFirstLefts3(outRec2, outRec1); - } - } -} - -//------------------------------------------------------------------------------ -// ClipperOffset support functions ... -//------------------------------------------------------------------------------ - -DoublePoint GetUnitNormal(const IntPoint &pt1, const IntPoint &pt2) -{ - if(pt2.X == pt1.X && pt2.Y == pt1.Y) - return DoublePoint(0, 0); - - double Dx = (double)(pt2.X - pt1.X); - double dy = (double)(pt2.Y - pt1.Y); - double f = 1 *1.0/ std::sqrt( Dx*Dx + dy*dy ); - Dx *= f; - dy *= f; - return DoublePoint(dy, -Dx); -} - -//------------------------------------------------------------------------------ -// ClipperOffset class -//------------------------------------------------------------------------------ - -ClipperOffset::ClipperOffset(double miterLimit, double arcTolerance) -{ - this->MiterLimit = miterLimit; - this->ArcTolerance = arcTolerance; - m_lowest.X = -1; -} -//------------------------------------------------------------------------------ - -ClipperOffset::~ClipperOffset() -{ - Clear(); -} -//------------------------------------------------------------------------------ - -void ClipperOffset::Clear() -{ - for (int i = 0; i < m_polyNodes.ChildCount(); ++i) - delete m_polyNodes.Childs[i]; - m_polyNodes.Childs.clear(); - m_lowest.X = -1; -} -//------------------------------------------------------------------------------ - -void ClipperOffset::AddPath(const Path& path, JoinType joinType, EndType endType) -{ - int highI = (int)path.size() - 1; - if (highI < 0) return; - PolyNode* newNode = new PolyNode(); - newNode->m_jointype = joinType; - newNode->m_endtype = endType; - - //strip duplicate points from path and also get index to the lowest point ... - if (endType == etClosedLine || endType == etClosedPolygon) - while (highI > 0 && path[0] == path[highI]) highI--; - newNode->Contour.reserve(highI + 1); - newNode->Contour.push_back(path[0]); - int j = 0, k = 0; - for (int i = 1; i <= highI; i++) - if (newNode->Contour[j] != path[i]) - { - j++; - newNode->Contour.push_back(path[i]); - if (path[i].Y > newNode->Contour[k].Y || - (path[i].Y == newNode->Contour[k].Y && - path[i].X < newNode->Contour[k].X)) k = j; - } - if (endType == etClosedPolygon && j < 2) - { - delete newNode; - return; - } - m_polyNodes.AddChild(*newNode); - - //if this path's lowest pt is lower than all the others then update m_lowest - if (endType != etClosedPolygon) return; - if (m_lowest.X < 0) - m_lowest = IntPoint(m_polyNodes.ChildCount() - 1, k); - else - { - IntPoint ip = m_polyNodes.Childs[(int)m_lowest.X]->Contour[(int)m_lowest.Y]; - if (newNode->Contour[k].Y > ip.Y || - (newNode->Contour[k].Y == ip.Y && - newNode->Contour[k].X < ip.X)) - m_lowest = IntPoint(m_polyNodes.ChildCount() - 1, k); - } -} -//------------------------------------------------------------------------------ - -void ClipperOffset::AddPaths(const Paths& paths, JoinType joinType, EndType endType) -{ - for (Paths::size_type i = 0; i < paths.size(); ++i) - AddPath(paths[i], joinType, endType); -} -//------------------------------------------------------------------------------ - -void ClipperOffset::FixOrientations() -{ - //fixup orientations of all closed paths if the orientation of the - //closed path with the lowermost vertex is wrong ... - if (m_lowest.X >= 0 && - !Orientation(m_polyNodes.Childs[(int)m_lowest.X]->Contour)) - { - for (int i = 0; i < m_polyNodes.ChildCount(); ++i) - { - PolyNode& node = *m_polyNodes.Childs[i]; - if (node.m_endtype == etClosedPolygon || - (node.m_endtype == etClosedLine && Orientation(node.Contour))) - ReversePath(node.Contour); - } - } else - { - for (int i = 0; i < m_polyNodes.ChildCount(); ++i) - { - PolyNode& node = *m_polyNodes.Childs[i]; - if (node.m_endtype == etClosedLine && !Orientation(node.Contour)) - ReversePath(node.Contour); - } - } -} -//------------------------------------------------------------------------------ - -void ClipperOffset::Execute(Paths& solution, double delta) -{ - solution.clear(); - FixOrientations(); - DoOffset(delta); - - //now clean up 'corners' ... - Clipper clpr; - clpr.AddPaths(m_destPolys, ptSubject, true); - if (delta > 0) - { - clpr.Execute(ctUnion, solution, pftPositive, pftPositive); - } - else - { - IntRect r = clpr.GetBounds(); - Path outer(4); - outer[0] = IntPoint(r.left - 10, r.bottom + 10); - outer[1] = IntPoint(r.right + 10, r.bottom + 10); - outer[2] = IntPoint(r.right + 10, r.top - 10); - outer[3] = IntPoint(r.left - 10, r.top - 10); - - clpr.AddPath(outer, ptSubject, true); - clpr.ReverseSolution(true); - clpr.Execute(ctUnion, solution, pftNegative, pftNegative); - if (solution.size() > 0) solution.erase(solution.begin()); - } -} -//------------------------------------------------------------------------------ - -void ClipperOffset::Execute(PolyTree& solution, double delta) -{ - solution.Clear(); - FixOrientations(); - DoOffset(delta); - - //now clean up 'corners' ... - Clipper clpr; - clpr.AddPaths(m_destPolys, ptSubject, true); - if (delta > 0) - { - clpr.Execute(ctUnion, solution, pftPositive, pftPositive); - } - else - { - IntRect r = clpr.GetBounds(); - Path outer(4); - outer[0] = IntPoint(r.left - 10, r.bottom + 10); - outer[1] = IntPoint(r.right + 10, r.bottom + 10); - outer[2] = IntPoint(r.right + 10, r.top - 10); - outer[3] = IntPoint(r.left - 10, r.top - 10); - - clpr.AddPath(outer, ptSubject, true); - clpr.ReverseSolution(true); - clpr.Execute(ctUnion, solution, pftNegative, pftNegative); - //remove the outer PolyNode rectangle ... - if (solution.ChildCount() == 1 && solution.Childs[0]->ChildCount() > 0) - { - PolyNode* outerNode = solution.Childs[0]; - solution.Childs.reserve(outerNode->ChildCount()); - solution.Childs[0] = outerNode->Childs[0]; - solution.Childs[0]->Parent = outerNode->Parent; - for (int i = 1; i < outerNode->ChildCount(); ++i) - solution.AddChild(*outerNode->Childs[i]); - } - else - solution.Clear(); - } -} -//------------------------------------------------------------------------------ - -void ClipperOffset::DoOffset(double delta) -{ - m_destPolys.clear(); - m_delta = delta; - - //if Zero offset, just copy any CLOSED polygons to m_p and return ... - if (NEAR_ZERO(delta)) - { - m_destPolys.reserve(m_polyNodes.ChildCount()); - for (int i = 0; i < m_polyNodes.ChildCount(); i++) - { - PolyNode& node = *m_polyNodes.Childs[i]; - if (node.m_endtype == etClosedPolygon) - m_destPolys.push_back(node.Contour); - } - return; - } - - //see offset_triginometry3.svg in the documentation folder ... - if (MiterLimit > 2) m_miterLim = 2/(MiterLimit * MiterLimit); - else m_miterLim = 0.5; - - double y; - if (ArcTolerance <= 0.0) y = def_arc_tolerance; - else if (ArcTolerance > std::fabs(delta) * def_arc_tolerance) - y = std::fabs(delta) * def_arc_tolerance; - else y = ArcTolerance; - //see offset_triginometry2.svg in the documentation folder ... - double steps = pi / std::acos(1 - y / std::fabs(delta)); - if (steps > std::fabs(delta) * pi) - steps = std::fabs(delta) * pi; //ie excessive precision check - m_sin = std::sin(two_pi / steps); - m_cos = std::cos(two_pi / steps); - m_StepsPerRad = steps / two_pi; - if (delta < 0.0) m_sin = -m_sin; - - m_destPolys.reserve(m_polyNodes.ChildCount() * 2); - for (int i = 0; i < m_polyNodes.ChildCount(); i++) - { - PolyNode& node = *m_polyNodes.Childs[i]; - m_srcPoly = node.Contour; - - int len = (int)m_srcPoly.size(); - if (len == 0 || (delta <= 0 && (len < 3 || node.m_endtype != etClosedPolygon))) - continue; - - m_destPoly.clear(); - if (len == 1) - { - if (node.m_jointype == jtRound) - { - double X = 1.0, Y = 0.0; - for (cInt j = 1; j <= steps; j++) - { - m_destPoly.push_back(IntPoint( - Round(m_srcPoly[0].X + X * delta), - Round(m_srcPoly[0].Y + Y * delta))); - double X2 = X; - X = X * m_cos - m_sin * Y; - Y = X2 * m_sin + Y * m_cos; - } - } - else - { - double X = -1.0, Y = -1.0; - for (int j = 0; j < 4; ++j) - { - m_destPoly.push_back(IntPoint( - Round(m_srcPoly[0].X + X * delta), - Round(m_srcPoly[0].Y + Y * delta))); - if (X < 0) X = 1; - else if (Y < 0) Y = 1; - else X = -1; - } - } - m_destPolys.push_back(m_destPoly); - continue; - } - //build m_normals ... - m_normals.clear(); - m_normals.reserve(len); - for (int j = 0; j < len - 1; ++j) - m_normals.push_back(GetUnitNormal(m_srcPoly[j], m_srcPoly[j + 1])); - if (node.m_endtype == etClosedLine || node.m_endtype == etClosedPolygon) - m_normals.push_back(GetUnitNormal(m_srcPoly[len - 1], m_srcPoly[0])); - else - m_normals.push_back(DoublePoint(m_normals[len - 2])); - - if (node.m_endtype == etClosedPolygon) - { - int k = len - 1; - for (int j = 0; j < len; ++j) - OffsetPoint(j, k, node.m_jointype); - m_destPolys.push_back(m_destPoly); - } - else if (node.m_endtype == etClosedLine) - { - int k = len - 1; - for (int j = 0; j < len; ++j) - OffsetPoint(j, k, node.m_jointype); - m_destPolys.push_back(m_destPoly); - m_destPoly.clear(); - //re-build m_normals ... - DoublePoint n = m_normals[len -1]; - for (int j = len - 1; j > 0; j--) - m_normals[j] = DoublePoint(-m_normals[j - 1].X, -m_normals[j - 1].Y); - m_normals[0] = DoublePoint(-n.X, -n.Y); - k = 0; - for (int j = len - 1; j >= 0; j--) - OffsetPoint(j, k, node.m_jointype); - m_destPolys.push_back(m_destPoly); - } - else - { - int k = 0; - for (int j = 1; j < len - 1; ++j) - OffsetPoint(j, k, node.m_jointype); - - IntPoint pt1; - if (node.m_endtype == etOpenButt) - { - int j = len - 1; - pt1 = IntPoint((cInt)Round(m_srcPoly[j].X + m_normals[j].X * - delta), (cInt)Round(m_srcPoly[j].Y + m_normals[j].Y * delta)); - m_destPoly.push_back(pt1); - pt1 = IntPoint((cInt)Round(m_srcPoly[j].X - m_normals[j].X * - delta), (cInt)Round(m_srcPoly[j].Y - m_normals[j].Y * delta)); - m_destPoly.push_back(pt1); - } - else - { - int j = len - 1; - k = len - 2; - m_sinA = 0; - m_normals[j] = DoublePoint(-m_normals[j].X, -m_normals[j].Y); - if (node.m_endtype == etOpenSquare) - DoSquare(j, k); - else - DoRound(j, k); - } - - //re-build m_normals ... - for (int j = len - 1; j > 0; j--) - m_normals[j] = DoublePoint(-m_normals[j - 1].X, -m_normals[j - 1].Y); - m_normals[0] = DoublePoint(-m_normals[1].X, -m_normals[1].Y); - - k = len - 1; - for (int j = k - 1; j > 0; --j) OffsetPoint(j, k, node.m_jointype); - - if (node.m_endtype == etOpenButt) - { - pt1 = IntPoint((cInt)Round(m_srcPoly[0].X - m_normals[0].X * delta), - (cInt)Round(m_srcPoly[0].Y - m_normals[0].Y * delta)); - m_destPoly.push_back(pt1); - pt1 = IntPoint((cInt)Round(m_srcPoly[0].X + m_normals[0].X * delta), - (cInt)Round(m_srcPoly[0].Y + m_normals[0].Y * delta)); - m_destPoly.push_back(pt1); - } - else - { - k = 1; - m_sinA = 0; - if (node.m_endtype == etOpenSquare) - DoSquare(0, 1); - else - DoRound(0, 1); - } - m_destPolys.push_back(m_destPoly); - } - } -} -//------------------------------------------------------------------------------ - -void ClipperOffset::OffsetPoint(int j, int& k, JoinType jointype) -{ - //cross product ... - m_sinA = (m_normals[k].X * m_normals[j].Y - m_normals[j].X * m_normals[k].Y); - if (std::fabs(m_sinA * m_delta) < 1.0) - { - //dot product ... - double cosA = (m_normals[k].X * m_normals[j].X + m_normals[j].Y * m_normals[k].Y ); - if (cosA > 0) // angle => 0 degrees - { - m_destPoly.push_back(IntPoint(Round(m_srcPoly[j].X + m_normals[k].X * m_delta), - Round(m_srcPoly[j].Y + m_normals[k].Y * m_delta))); - return; - } - //else angle => 180 degrees - } - else if (m_sinA > 1.0) m_sinA = 1.0; - else if (m_sinA < -1.0) m_sinA = -1.0; - - if (m_sinA * m_delta < 0) - { - m_destPoly.push_back(IntPoint(Round(m_srcPoly[j].X + m_normals[k].X * m_delta), - Round(m_srcPoly[j].Y + m_normals[k].Y * m_delta))); - m_destPoly.push_back(m_srcPoly[j]); - m_destPoly.push_back(IntPoint(Round(m_srcPoly[j].X + m_normals[j].X * m_delta), - Round(m_srcPoly[j].Y + m_normals[j].Y * m_delta))); - } - else - switch (jointype) - { - case jtMiter: - { - double r = 1 + (m_normals[j].X * m_normals[k].X + - m_normals[j].Y * m_normals[k].Y); - if (r >= m_miterLim) DoMiter(j, k, r); else DoSquare(j, k); - break; - } - case jtSquare: DoSquare(j, k); break; - case jtRound: DoRound(j, k); break; - } - k = j; -} -//------------------------------------------------------------------------------ - -void ClipperOffset::DoSquare(int j, int k) -{ - double dx = std::tan(std::atan2(m_sinA, - m_normals[k].X * m_normals[j].X + m_normals[k].Y * m_normals[j].Y) / 4); - m_destPoly.push_back(IntPoint( - Round(m_srcPoly[j].X + m_delta * (m_normals[k].X - m_normals[k].Y * dx)), - Round(m_srcPoly[j].Y + m_delta * (m_normals[k].Y + m_normals[k].X * dx)))); - m_destPoly.push_back(IntPoint( - Round(m_srcPoly[j].X + m_delta * (m_normals[j].X + m_normals[j].Y * dx)), - Round(m_srcPoly[j].Y + m_delta * (m_normals[j].Y - m_normals[j].X * dx)))); -} -//------------------------------------------------------------------------------ - -void ClipperOffset::DoMiter(int j, int k, double r) -{ - double q = m_delta / r; - m_destPoly.push_back(IntPoint(Round(m_srcPoly[j].X + (m_normals[k].X + m_normals[j].X) * q), - Round(m_srcPoly[j].Y + (m_normals[k].Y + m_normals[j].Y) * q))); -} -//------------------------------------------------------------------------------ - -void ClipperOffset::DoRound(int j, int k) -{ - double a = std::atan2(m_sinA, - m_normals[k].X * m_normals[j].X + m_normals[k].Y * m_normals[j].Y); - int steps = std::max((int)Round(m_StepsPerRad * std::fabs(a)), 1); - - double X = m_normals[k].X, Y = m_normals[k].Y, X2; - for (int i = 0; i < steps; ++i) - { - m_destPoly.push_back(IntPoint( - Round(m_srcPoly[j].X + X * m_delta), - Round(m_srcPoly[j].Y + Y * m_delta))); - X2 = X; - X = X * m_cos - m_sin * Y; - Y = X2 * m_sin + Y * m_cos; - } - m_destPoly.push_back(IntPoint( - Round(m_srcPoly[j].X + m_normals[j].X * m_delta), - Round(m_srcPoly[j].Y + m_normals[j].Y * m_delta))); -} - -//------------------------------------------------------------------------------ -// Miscellaneous public functions -//------------------------------------------------------------------------------ - -void Clipper::DoSimplePolygons() -{ - PolyOutList::size_type i = 0; - while (i < m_PolyOuts.size()) - { - OutRec* outrec = m_PolyOuts[i++]; - OutPt* op = outrec->Pts; - if (!op || outrec->IsOpen) continue; - do //for each Pt in Polygon until duplicate found do ... - { - OutPt* op2 = op->Next; - while (op2 != outrec->Pts) - { - if ((op->Pt == op2->Pt) && op2->Next != op && op2->Prev != op) - { - //split the polygon into two ... - OutPt* op3 = op->Prev; - OutPt* op4 = op2->Prev; - op->Prev = op4; - op4->Next = op; - op2->Prev = op3; - op3->Next = op2; - - outrec->Pts = op; - OutRec* outrec2 = CreateOutRec(); - outrec2->Pts = op2; - UpdateOutPtIdxs(*outrec2); - if (Poly2ContainsPoly1(outrec2->Pts, outrec->Pts)) - { - //OutRec2 is contained by OutRec1 ... - outrec2->IsHole = !outrec->IsHole; - outrec2->FirstLeft = outrec; - if (m_UsingPolyTree) FixupFirstLefts2(outrec2, outrec); - } - else - if (Poly2ContainsPoly1(outrec->Pts, outrec2->Pts)) - { - //OutRec1 is contained by OutRec2 ... - outrec2->IsHole = outrec->IsHole; - outrec->IsHole = !outrec2->IsHole; - outrec2->FirstLeft = outrec->FirstLeft; - outrec->FirstLeft = outrec2; - if (m_UsingPolyTree) FixupFirstLefts2(outrec, outrec2); - } - else - { - //the 2 polygons are separate ... - outrec2->IsHole = outrec->IsHole; - outrec2->FirstLeft = outrec->FirstLeft; - if (m_UsingPolyTree) FixupFirstLefts1(outrec, outrec2); - } - op2 = op; //ie get ready for the Next iteration - } - op2 = op2->Next; - } - op = op->Next; - } - while (op != outrec->Pts); - } -} -//------------------------------------------------------------------------------ - -void ReversePath(Path& p) -{ - std::reverse(p.begin(), p.end()); -} -//------------------------------------------------------------------------------ - -void ReversePaths(Paths& p) -{ - for (Paths::size_type i = 0; i < p.size(); ++i) - ReversePath(p[i]); -} -//------------------------------------------------------------------------------ - -void SimplifyPolygon(const Path &in_poly, Paths &out_polys, PolyFillType fillType) -{ - Clipper c; - c.StrictlySimple(true); - c.AddPath(in_poly, ptSubject, true); - c.Execute(ctUnion, out_polys, fillType, fillType); -} -//------------------------------------------------------------------------------ - -void SimplifyPolygons(const Paths &in_polys, Paths &out_polys, PolyFillType fillType) -{ - Clipper c; - c.StrictlySimple(true); - c.AddPaths(in_polys, ptSubject, true); - c.Execute(ctUnion, out_polys, fillType, fillType); -} -//------------------------------------------------------------------------------ - -void SimplifyPolygons(Paths &polys, PolyFillType fillType) -{ - SimplifyPolygons(polys, polys, fillType); -} -//------------------------------------------------------------------------------ - -inline double DistanceSqrd(const IntPoint& pt1, const IntPoint& pt2) -{ - double Dx = ((double)pt1.X - pt2.X); - double dy = ((double)pt1.Y - pt2.Y); - return (Dx*Dx + dy*dy); -} -//------------------------------------------------------------------------------ - -double DistanceFromLineSqrd( - const IntPoint& pt, const IntPoint& ln1, const IntPoint& ln2) -{ - //The equation of a line in general form (Ax + By + C = 0) - //given 2 points (x�,y�) & (x�,y�) is ... - //(y� - y�)x + (x� - x�)y + (y� - y�)x� - (x� - x�)y� = 0 - //A = (y� - y�); B = (x� - x�); C = (y� - y�)x� - (x� - x�)y� - //perpendicular distance of point (x�,y�) = (Ax� + By� + C)/Sqrt(A� + B�) - //see http://en.wikipedia.org/wiki/Perpendicular_distance - double A = double(ln1.Y - ln2.Y); - double B = double(ln2.X - ln1.X); - double C = A * ln1.X + B * ln1.Y; - C = A * pt.X + B * pt.Y - C; - return (C * C) / (A * A + B * B); -} -//--------------------------------------------------------------------------- - -bool SlopesNearCollinear(const IntPoint& pt1, - const IntPoint& pt2, const IntPoint& pt3, double distSqrd) -{ - //this function is more accurate when the point that's geometrically - //between the other 2 points is the one that's tested for distance. - //ie makes it more likely to pick up 'spikes' ... - if (Abs(pt1.X - pt2.X) > Abs(pt1.Y - pt2.Y)) - { - if ((pt1.X > pt2.X) == (pt1.X < pt3.X)) - return DistanceFromLineSqrd(pt1, pt2, pt3) < distSqrd; - else if ((pt2.X > pt1.X) == (pt2.X < pt3.X)) - return DistanceFromLineSqrd(pt2, pt1, pt3) < distSqrd; - else - return DistanceFromLineSqrd(pt3, pt1, pt2) < distSqrd; - } - else - { - if ((pt1.Y > pt2.Y) == (pt1.Y < pt3.Y)) - return DistanceFromLineSqrd(pt1, pt2, pt3) < distSqrd; - else if ((pt2.Y > pt1.Y) == (pt2.Y < pt3.Y)) - return DistanceFromLineSqrd(pt2, pt1, pt3) < distSqrd; - else - return DistanceFromLineSqrd(pt3, pt1, pt2) < distSqrd; - } -} -//------------------------------------------------------------------------------ - -bool PointsAreClose(IntPoint pt1, IntPoint pt2, double distSqrd) -{ - double Dx = (double)pt1.X - pt2.X; - double dy = (double)pt1.Y - pt2.Y; - return ((Dx * Dx) + (dy * dy) <= distSqrd); -} -//------------------------------------------------------------------------------ - -OutPt* ExcludeOp(OutPt* op) -{ - OutPt* result = op->Prev; - result->Next = op->Next; - op->Next->Prev = result; - result->Idx = 0; - return result; -} -//------------------------------------------------------------------------------ - -void CleanPolygon(const Path& in_poly, Path& out_poly, double distance) -{ - //distance = proximity in units/pixels below which vertices - //will be stripped. Default ~= sqrt(2). - - size_t size = in_poly.size(); - - if (size == 0) - { - out_poly.clear(); - return; - } - - OutPt* outPts = new OutPt[size]; - for (size_t i = 0; i < size; ++i) - { - outPts[i].Pt = in_poly[i]; - outPts[i].Next = &outPts[(i + 1) % size]; - outPts[i].Next->Prev = &outPts[i]; - outPts[i].Idx = 0; - } - - double distSqrd = distance * distance; - OutPt* op = &outPts[0]; - while (op->Idx == 0 && op->Next != op->Prev) - { - if (PointsAreClose(op->Pt, op->Prev->Pt, distSqrd)) - { - op = ExcludeOp(op); - size--; - } - else if (PointsAreClose(op->Prev->Pt, op->Next->Pt, distSqrd)) - { - ExcludeOp(op->Next); - op = ExcludeOp(op); - size -= 2; - } - else if (SlopesNearCollinear(op->Prev->Pt, op->Pt, op->Next->Pt, distSqrd)) - { - op = ExcludeOp(op); - size--; - } - else - { - op->Idx = 1; - op = op->Next; - } - } - - if (size < 3) size = 0; - out_poly.resize(size); - for (size_t i = 0; i < size; ++i) - { - out_poly[i] = op->Pt; - op = op->Next; - } - delete [] outPts; -} -//------------------------------------------------------------------------------ - -void CleanPolygon(Path& poly, double distance) -{ - CleanPolygon(poly, poly, distance); -} -//------------------------------------------------------------------------------ - -void CleanPolygons(const Paths& in_polys, Paths& out_polys, double distance) -{ - out_polys.resize(in_polys.size()); - for (Paths::size_type i = 0; i < in_polys.size(); ++i) - CleanPolygon(in_polys[i], out_polys[i], distance); -} -//------------------------------------------------------------------------------ - -void CleanPolygons(Paths& polys, double distance) -{ - CleanPolygons(polys, polys, distance); -} -//------------------------------------------------------------------------------ - -void Minkowski(const Path& poly, const Path& path, - Paths& solution, bool isSum, bool isClosed) -{ - int delta = (isClosed ? 1 : 0); - size_t polyCnt = poly.size(); - size_t pathCnt = path.size(); - Paths pp; - pp.reserve(pathCnt); - if (isSum) - for (size_t i = 0; i < pathCnt; ++i) - { - Path p; - p.reserve(polyCnt); - for (size_t j = 0; j < poly.size(); ++j) - p.push_back(IntPoint(path[i].X + poly[j].X, path[i].Y + poly[j].Y)); - pp.push_back(p); - } - else - for (size_t i = 0; i < pathCnt; ++i) - { - Path p; - p.reserve(polyCnt); - for (size_t j = 0; j < poly.size(); ++j) - p.push_back(IntPoint(path[i].X - poly[j].X, path[i].Y - poly[j].Y)); - pp.push_back(p); - } - - solution.clear(); - solution.reserve((pathCnt + delta) * (polyCnt + 1)); - for (size_t i = 0; i < pathCnt - 1 + delta; ++i) - for (size_t j = 0; j < polyCnt; ++j) - { - Path quad; - quad.reserve(4); - quad.push_back(pp[i % pathCnt][j % polyCnt]); - quad.push_back(pp[(i + 1) % pathCnt][j % polyCnt]); - quad.push_back(pp[(i + 1) % pathCnt][(j + 1) % polyCnt]); - quad.push_back(pp[i % pathCnt][(j + 1) % polyCnt]); - if (!Orientation(quad)) ReversePath(quad); - solution.push_back(quad); - } -} -//------------------------------------------------------------------------------ - -void MinkowskiSum(const Path& pattern, const Path& path, Paths& solution, bool pathIsClosed) -{ - Minkowski(pattern, path, solution, true, pathIsClosed); - Clipper c; - c.AddPaths(solution, ptSubject, true); - c.Execute(ctUnion, solution, pftNonZero, pftNonZero); -} -//------------------------------------------------------------------------------ - -void TranslatePath(const Path& input, Path& output, const IntPoint delta) -{ - //precondition: input != output - output.resize(input.size()); - for (size_t i = 0; i < input.size(); ++i) - output[i] = IntPoint(input[i].X + delta.X, input[i].Y + delta.Y); -} -//------------------------------------------------------------------------------ - -void MinkowskiSum(const Path& pattern, const Paths& paths, Paths& solution, bool pathIsClosed) -{ - Clipper c; - for (size_t i = 0; i < paths.size(); ++i) - { - Paths tmp; - Minkowski(pattern, paths[i], tmp, true, pathIsClosed); - c.AddPaths(tmp, ptSubject, true); - if (pathIsClosed) - { - Path tmp2; - TranslatePath(paths[i], tmp2, pattern[0]); - c.AddPath(tmp2, ptClip, true); - } - } - c.Execute(ctUnion, solution, pftNonZero, pftNonZero); -} -//------------------------------------------------------------------------------ - -void MinkowskiDiff(const Path& poly1, const Path& poly2, Paths& solution) -{ - Minkowski(poly1, poly2, solution, false, true); - Clipper c; - c.AddPaths(solution, ptSubject, true); - c.Execute(ctUnion, solution, pftNonZero, pftNonZero); -} -//------------------------------------------------------------------------------ - -enum NodeType {ntAny, ntOpen, ntClosed}; - -void AddPolyNodeToPaths(const PolyNode& polynode, NodeType nodetype, Paths& paths) -{ - bool match = true; - if (nodetype == ntClosed) match = !polynode.IsOpen(); - else if (nodetype == ntOpen) return; - - if (!polynode.Contour.empty() && match) - paths.push_back(polynode.Contour); - for (int i = 0; i < polynode.ChildCount(); ++i) - AddPolyNodeToPaths(*polynode.Childs[i], nodetype, paths); -} -//------------------------------------------------------------------------------ - -void PolyTreeToPaths(const PolyTree& polytree, Paths& paths) -{ - paths.resize(0); - paths.reserve(polytree.Total()); - AddPolyNodeToPaths(polytree, ntAny, paths); -} -//------------------------------------------------------------------------------ - -void ClosedPathsFromPolyTree(const PolyTree& polytree, Paths& paths) -{ - paths.resize(0); - paths.reserve(polytree.Total()); - AddPolyNodeToPaths(polytree, ntClosed, paths); -} -//------------------------------------------------------------------------------ - -void OpenPathsFromPolyTree(PolyTree& polytree, Paths& paths) -{ - paths.resize(0); - paths.reserve(polytree.Total()); - //Open paths are top level only, so ... - for (int i = 0; i < polytree.ChildCount(); ++i) - if (polytree.Childs[i]->IsOpen()) - paths.push_back(polytree.Childs[i]->Contour); -} -//------------------------------------------------------------------------------ - -std::ostream& operator <<(std::ostream &s, const IntPoint &p) -{ - s << "(" << p.X << "," << p.Y << ")"; - return s; -} -//------------------------------------------------------------------------------ - -std::ostream& operator <<(std::ostream &s, const Path &p) -{ - if (p.empty()) return s; - Path::size_type last = p.size() -1; - for (Path::size_type i = 0; i < last; i++) - s << "(" << p[i].X << "," << p[i].Y << "), "; - s << "(" << p[last].X << "," << p[last].Y << ")\n"; - return s; -} -//------------------------------------------------------------------------------ - -std::ostream& operator <<(std::ostream &s, const Paths &p) -{ - for (Paths::size_type i = 0; i < p.size(); i++) - s << p[i]; - s << "\n"; - return s; -} -//------------------------------------------------------------------------------ - -} //ClipperLib namespace diff --git a/deploy/android_demo/app/src/main/cpp/ocr_clipper.hpp b/deploy/android_demo/app/src/main/cpp/ocr_clipper.hpp deleted file mode 100644 index 7129b535..00000000 --- a/deploy/android_demo/app/src/main/cpp/ocr_clipper.hpp +++ /dev/null @@ -1,547 +0,0 @@ -/******************************************************************************* -* * -* Author : Angus Johnson * -* Version : 6.4.2 * -* Date : 27 February 2017 * -* Website : http://www.angusj.com * -* Copyright : Angus Johnson 2010-2017 * -* * -* License: * -* Use, modification & distribution is subject to Boost Software License Ver 1. * -* http://www.boost.org/LICENSE_1_0.txt * -* * -* Attributions: * -* The code in this library is an extension of Bala Vatti's clipping algorithm: * -* "A generic solution to polygon clipping" * -* Communications of the ACM, Vol 35, Issue 7 (July 1992) pp 56-63. * -* http://portal.acm.org/citation.cfm?id=129906 * -* * -* Computer graphics and geometric modeling: implementation and algorithms * -* By Max K. Agoston * -* Springer; 1 edition (January 4, 2005) * -* http://books.google.com/books?q=vatti+clipping+agoston * -* * -* See also: * -* "Polygon Offsetting by Computing Winding Numbers" * -* Paper no. DETC2005-85513 pp. 565-575 * -* ASME 2005 International Design Engineering Technical Conferences * -* and Computers and Information in Engineering Conference (IDETC/CIE2005) * -* September 24-28, 2005 , Long Beach, California, USA * -* http://www.me.berkeley.edu/~mcmains/pubs/DAC05OffsetPolygon.pdf * -* * -*******************************************************************************/ - -#ifndef clipper_hpp -#define clipper_hpp - -#define CLIPPER_VERSION "6.4.2" - -//use_int32: When enabled 32bit ints are used instead of 64bit ints. This -//improve performance but coordinate values are limited to the range +/- 46340 -//#define use_int32 - -//use_xyz: adds a Z member to IntPoint. Adds a minor cost to perfomance. -//#define use_xyz - -//use_lines: Enables line clipping. Adds a very minor cost to performance. -#define use_lines - -//use_deprecated: Enables temporary support for the obsolete functions -//#define use_deprecated - -#include -#include -#include -#include -#include -#include -#include -#include -#include - -namespace ClipperLib { - -enum ClipType { - ctIntersection, ctUnion, ctDifference, ctXor -}; -enum PolyType { - ptSubject, ptClip -}; -//By far the most widely used winding rules for polygon filling are -//EvenOdd & NonZero (GDI, GDI+, XLib, OpenGL, Cairo, AGG, Quartz, SVG, Gr32) -//Others rules include Positive, Negative and ABS_GTR_EQ_TWO (only in OpenGL) -//see http://glprogramming.com/red/chapter11.html -enum PolyFillType { - pftEvenOdd, pftNonZero, pftPositive, pftNegative -}; - -#ifdef use_int32 -typedef int cInt; -static cInt const loRange = 0x7FFF; -static cInt const hiRange = 0x7FFF; -#else -typedef signed long long cInt; -static cInt const loRange = 0x3FFFFFFF; -static cInt const hiRange = 0x3FFFFFFFFFFFFFFFLL; -typedef signed long long long64; //used by Int128 class -typedef unsigned long long ulong64; - -#endif - -struct IntPoint { - cInt X; - cInt Y; -#ifdef use_xyz - cInt Z; - IntPoint(cInt x = 0, cInt y = 0, cInt z = 0): X(x), Y(y), Z(z) {}; -#else - - IntPoint(cInt x = 0, cInt y = 0) : X(x), Y(y) {}; -#endif - - friend inline bool operator==(const IntPoint &a, const IntPoint &b) { - return a.X == b.X && a.Y == b.Y; - } - - friend inline bool operator!=(const IntPoint &a, const IntPoint &b) { - return a.X != b.X || a.Y != b.Y; - } -}; -//------------------------------------------------------------------------------ - -typedef std::vector Path; -typedef std::vector Paths; - -inline Path &operator<<(Path &poly, const IntPoint &p) { - poly.push_back(p); - return poly; -} - -inline Paths &operator<<(Paths &polys, const Path &p) { - polys.push_back(p); - return polys; -} - -std::ostream &operator<<(std::ostream &s, const IntPoint &p); - -std::ostream &operator<<(std::ostream &s, const Path &p); - -std::ostream &operator<<(std::ostream &s, const Paths &p); - -struct DoublePoint { - double X; - double Y; - - DoublePoint(double x = 0, double y = 0) : X(x), Y(y) {} - - DoublePoint(IntPoint ip) : X((double) ip.X), Y((double) ip.Y) {} -}; -//------------------------------------------------------------------------------ - -#ifdef use_xyz -typedef void (*ZFillCallback)(IntPoint& e1bot, IntPoint& e1top, IntPoint& e2bot, IntPoint& e2top, IntPoint& pt); -#endif - -enum InitOptions { - ioReverseSolution = 1, ioStrictlySimple = 2, ioPreserveCollinear = 4 -}; -enum JoinType { - jtSquare, jtRound, jtMiter -}; -enum EndType { - etClosedPolygon, etClosedLine, etOpenButt, etOpenSquare, etOpenRound -}; - -class PolyNode; - -typedef std::vector PolyNodes; - -class PolyNode { -public: - PolyNode(); - - virtual ~PolyNode() {}; - Path Contour; - PolyNodes Childs; - PolyNode *Parent; - - PolyNode *GetNext() const; - - bool IsHole() const; - - bool IsOpen() const; - - int ChildCount() const; - -private: - //PolyNode& operator =(PolyNode& other); - unsigned Index; //node index in Parent.Childs - bool m_IsOpen; - JoinType m_jointype; - EndType m_endtype; - - PolyNode *GetNextSiblingUp() const; - - void AddChild(PolyNode &child); - - friend class Clipper; //to access Index - friend class ClipperOffset; -}; - -class PolyTree : public PolyNode { -public: - ~PolyTree() { Clear(); }; - - PolyNode *GetFirst() const; - - void Clear(); - - int Total() const; - -private: - //PolyTree& operator =(PolyTree& other); - PolyNodes AllNodes; - - friend class Clipper; //to access AllNodes -}; - -bool Orientation(const Path &poly); - -double Area(const Path &poly); - -int PointInPolygon(const IntPoint &pt, const Path &path); - -void SimplifyPolygon(const Path &in_poly, Paths &out_polys, PolyFillType fillType = pftEvenOdd); - -void SimplifyPolygons(const Paths &in_polys, Paths &out_polys, PolyFillType fillType = pftEvenOdd); - -void SimplifyPolygons(Paths &polys, PolyFillType fillType = pftEvenOdd); - -void CleanPolygon(const Path &in_poly, Path &out_poly, double distance = 1.415); - -void CleanPolygon(Path &poly, double distance = 1.415); - -void CleanPolygons(const Paths &in_polys, Paths &out_polys, double distance = 1.415); - -void CleanPolygons(Paths &polys, double distance = 1.415); - -void MinkowskiSum(const Path &pattern, const Path &path, Paths &solution, bool pathIsClosed); - -void MinkowskiSum(const Path &pattern, const Paths &paths, Paths &solution, bool pathIsClosed); - -void MinkowskiDiff(const Path &poly1, const Path &poly2, Paths &solution); - -void PolyTreeToPaths(const PolyTree &polytree, Paths &paths); - -void ClosedPathsFromPolyTree(const PolyTree &polytree, Paths &paths); - -void OpenPathsFromPolyTree(PolyTree &polytree, Paths &paths); - -void ReversePath(Path &p); - -void ReversePaths(Paths &p); - -struct IntRect { - cInt left; - cInt top; - cInt right; - cInt bottom; -}; - -//enums that are used internally ... -enum EdgeSide { - esLeft = 1, esRight = 2 -}; - -//forward declarations (for stuff used internally) ... -struct TEdge; -struct IntersectNode; -struct LocalMinimum; -struct OutPt; -struct OutRec; -struct Join; - -typedef std::vector PolyOutList; -typedef std::vector EdgeList; -typedef std::vector JoinList; -typedef std::vector IntersectList; - -//------------------------------------------------------------------------------ - -//ClipperBase is the ancestor to the Clipper class. It should not be -//instantiated directly. This class simply abstracts the conversion of sets of -//polygon coordinates into edge objects that are stored in a LocalMinima list. -class ClipperBase { -public: - ClipperBase(); - - virtual ~ClipperBase(); - - virtual bool AddPath(const Path &pg, PolyType PolyTyp, bool Closed); - - bool AddPaths(const Paths &ppg, PolyType PolyTyp, bool Closed); - - virtual void Clear(); - - IntRect GetBounds(); - - bool PreserveCollinear() { return m_PreserveCollinear; }; - - void PreserveCollinear(bool value) { m_PreserveCollinear = value; }; -protected: - void DisposeLocalMinimaList(); - - TEdge *AddBoundsToLML(TEdge *e, bool IsClosed); - - virtual void Reset(); - - TEdge *ProcessBound(TEdge *E, bool IsClockwise); - - void InsertScanbeam(const cInt Y); - - bool PopScanbeam(cInt &Y); - - bool LocalMinimaPending(); - - bool PopLocalMinima(cInt Y, const LocalMinimum *&locMin); - - OutRec *CreateOutRec(); - - void DisposeAllOutRecs(); - - void DisposeOutRec(PolyOutList::size_type index); - - void SwapPositionsInAEL(TEdge *edge1, TEdge *edge2); - - void DeleteFromAEL(TEdge *e); - - void UpdateEdgeIntoAEL(TEdge *&e); - - typedef std::vector MinimaList; - MinimaList::iterator m_CurrentLM; - MinimaList m_MinimaList; - - bool m_UseFullRange; - EdgeList m_edges; - bool m_PreserveCollinear; - bool m_HasOpenPaths; - PolyOutList m_PolyOuts; - TEdge *m_ActiveEdges; - - typedef std::priority_queue ScanbeamList; - ScanbeamList m_Scanbeam; -}; -//------------------------------------------------------------------------------ - -class Clipper : public virtual ClipperBase { -public: - Clipper(int initOptions = 0); - - bool Execute(ClipType clipType, - Paths &solution, - PolyFillType fillType = pftEvenOdd); - - bool Execute(ClipType clipType, - Paths &solution, - PolyFillType subjFillType, - PolyFillType clipFillType); - - bool Execute(ClipType clipType, - PolyTree &polytree, - PolyFillType fillType = pftEvenOdd); - - bool Execute(ClipType clipType, - PolyTree &polytree, - PolyFillType subjFillType, - PolyFillType clipFillType); - - bool ReverseSolution() { return m_ReverseOutput; }; - - void ReverseSolution(bool value) { m_ReverseOutput = value; }; - - bool StrictlySimple() { return m_StrictSimple; }; - - void StrictlySimple(bool value) { m_StrictSimple = value; }; - //set the callback function for z value filling on intersections (otherwise Z is 0) -#ifdef use_xyz - void ZFillFunction(ZFillCallback zFillFunc); -#endif -protected: - virtual bool ExecuteInternal(); - -private: - JoinList m_Joins; - JoinList m_GhostJoins; - IntersectList m_IntersectList; - ClipType m_ClipType; - typedef std::list MaximaList; - MaximaList m_Maxima; - TEdge *m_SortedEdges; - bool m_ExecuteLocked; - PolyFillType m_ClipFillType; - PolyFillType m_SubjFillType; - bool m_ReverseOutput; - bool m_UsingPolyTree; - bool m_StrictSimple; -#ifdef use_xyz - ZFillCallback m_ZFill; //custom callback -#endif - - void SetWindingCount(TEdge &edge); - - bool IsEvenOddFillType(const TEdge &edge) const; - - bool IsEvenOddAltFillType(const TEdge &edge) const; - - void InsertLocalMinimaIntoAEL(const cInt botY); - - void InsertEdgeIntoAEL(TEdge *edge, TEdge *startEdge); - - void AddEdgeToSEL(TEdge *edge); - - bool PopEdgeFromSEL(TEdge *&edge); - - void CopyAELToSEL(); - - void DeleteFromSEL(TEdge *e); - - void SwapPositionsInSEL(TEdge *edge1, TEdge *edge2); - - bool IsContributing(const TEdge &edge) const; - - bool IsTopHorz(const cInt XPos); - - void DoMaxima(TEdge *e); - - void ProcessHorizontals(); - - void ProcessHorizontal(TEdge *horzEdge); - - void AddLocalMaxPoly(TEdge *e1, TEdge *e2, const IntPoint &pt); - - OutPt *AddLocalMinPoly(TEdge *e1, TEdge *e2, const IntPoint &pt); - - OutRec *GetOutRec(int idx); - - void AppendPolygon(TEdge *e1, TEdge *e2); - - void IntersectEdges(TEdge *e1, TEdge *e2, IntPoint &pt); - - OutPt *AddOutPt(TEdge *e, const IntPoint &pt); - - OutPt *GetLastOutPt(TEdge *e); - - bool ProcessIntersections(const cInt topY); - - void BuildIntersectList(const cInt topY); - - void ProcessIntersectList(); - - void ProcessEdgesAtTopOfScanbeam(const cInt topY); - - void BuildResult(Paths &polys); - - void BuildResult2(PolyTree &polytree); - - void SetHoleState(TEdge *e, OutRec *outrec); - - void DisposeIntersectNodes(); - - bool FixupIntersectionOrder(); - - void FixupOutPolygon(OutRec &outrec); - - void FixupOutPolyline(OutRec &outrec); - - bool IsHole(TEdge *e); - - bool FindOwnerFromSplitRecs(OutRec &outRec, OutRec *&currOrfl); - - void FixHoleLinkage(OutRec &outrec); - - void AddJoin(OutPt *op1, OutPt *op2, const IntPoint offPt); - - void ClearJoins(); - - void ClearGhostJoins(); - - void AddGhostJoin(OutPt *op, const IntPoint offPt); - - bool JoinPoints(Join *j, OutRec *outRec1, OutRec *outRec2); - - void JoinCommonEdges(); - - void DoSimplePolygons(); - - void FixupFirstLefts1(OutRec *OldOutRec, OutRec *NewOutRec); - - void FixupFirstLefts2(OutRec *InnerOutRec, OutRec *OuterOutRec); - - void FixupFirstLefts3(OutRec *OldOutRec, OutRec *NewOutRec); - -#ifdef use_xyz - void SetZ(IntPoint& pt, TEdge& e1, TEdge& e2); -#endif -}; -//------------------------------------------------------------------------------ - -class ClipperOffset { -public: - ClipperOffset(double miterLimit = 2.0, double roundPrecision = 0.25); - - ~ClipperOffset(); - - void AddPath(const Path &path, JoinType joinType, EndType endType); - - void AddPaths(const Paths &paths, JoinType joinType, EndType endType); - - void Execute(Paths &solution, double delta); - - void Execute(PolyTree &solution, double delta); - - void Clear(); - - double MiterLimit; - double ArcTolerance; -private: - Paths m_destPolys; - Path m_srcPoly; - Path m_destPoly; - std::vector m_normals; - double m_delta, m_sinA, m_sin, m_cos; - double m_miterLim, m_StepsPerRad; - IntPoint m_lowest; - PolyNode m_polyNodes; - - void FixOrientations(); - - void DoOffset(double delta); - - void OffsetPoint(int j, int &k, JoinType jointype); - - void DoSquare(int j, int k); - - void DoMiter(int j, int k, double r); - - void DoRound(int j, int k); -}; -//------------------------------------------------------------------------------ - -class clipperException : public std::exception { -public: - clipperException(const char *description) : m_descr(description) {} - - virtual ~clipperException() throw() {} - - virtual const char *what() const throw() { return m_descr.c_str(); } - -private: - std::string m_descr; -}; -//------------------------------------------------------------------------------ - -} //ClipperLib namespace - -#endif //clipper_hpp - - diff --git a/deploy/android_demo/app/src/main/cpp/ocr_crnn_process.cpp b/deploy/android_demo/app/src/main/cpp/ocr_crnn_process.cpp deleted file mode 100644 index 96f37b9b..00000000 --- a/deploy/android_demo/app/src/main/cpp/ocr_crnn_process.cpp +++ /dev/null @@ -1,140 +0,0 @@ -// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include "ocr_crnn_process.h" -#include -#include -#include -#include -#include -#include - -const std::string CHARACTER_TYPE = "ch"; -const int MAX_DICT_LENGTH = 6624; -const std::vector REC_IMAGE_SHAPE = {3, 32, 320}; - -static cv::Mat crnn_resize_norm_img(cv::Mat img, float wh_ratio) { - int imgC = REC_IMAGE_SHAPE[0]; - int imgW = REC_IMAGE_SHAPE[2]; - int imgH = REC_IMAGE_SHAPE[1]; - - if (CHARACTER_TYPE == "ch") - imgW = int(32 * wh_ratio); - - float ratio = float(img.cols) / float(img.rows); - int resize_w = 0; - if (ceilf(imgH * ratio) > imgW) - resize_w = imgW; - else - resize_w = int(ceilf(imgH * ratio)); - cv::Mat resize_img; - cv::resize(img, resize_img, cv::Size(resize_w, imgH), 0.f, 0.f, cv::INTER_CUBIC); - - resize_img.convertTo(resize_img, CV_32FC3, 1 / 255.f); - - for (int h = 0; h < resize_img.rows; h++) { - for (int w = 0; w < resize_img.cols; w++) { - resize_img.at(h, w)[0] = (resize_img.at(h, w)[0] - 0.5) * 2; - resize_img.at(h, w)[1] = (resize_img.at(h, w)[1] - 0.5) * 2; - resize_img.at(h, w)[2] = (resize_img.at(h, w)[2] - 0.5) * 2; - } - } - - cv::Mat dist; - cv::copyMakeBorder(resize_img, dist, 0, 0, 0, int(imgW - resize_w), cv::BORDER_CONSTANT, - {0, 0, 0}); - - return dist; - -} - -cv::Mat crnn_resize_img(const cv::Mat &img, float wh_ratio) { - int imgC = REC_IMAGE_SHAPE[0]; - int imgW = REC_IMAGE_SHAPE[2]; - int imgH = REC_IMAGE_SHAPE[1]; - - if (CHARACTER_TYPE == "ch") { - imgW = int(32 * wh_ratio); - } - - float ratio = float(img.cols) / float(img.rows); - int resize_w = 0; - if (ceilf(imgH * ratio) > imgW) - resize_w = imgW; - else - resize_w = int(ceilf(imgH * ratio)); - cv::Mat resize_img; - cv::resize(img, resize_img, cv::Size(resize_w, imgH)); - return resize_img; -} - - -cv::Mat get_rotate_crop_image(const cv::Mat &srcimage, const std::vector> &box) { - - std::vector> points = box; - - int x_collect[4] = {box[0][0], box[1][0], box[2][0], box[3][0]}; - int y_collect[4] = {box[0][1], box[1][1], box[2][1], box[3][1]}; - int left = int(*std::min_element(x_collect, x_collect + 4)); - int right = int(*std::max_element(x_collect, x_collect + 4)); - int top = int(*std::min_element(y_collect, y_collect + 4)); - int bottom = int(*std::max_element(y_collect, y_collect + 4)); - - cv::Mat img_crop; - srcimage(cv::Rect(left, top, right - left, bottom - top)).copyTo(img_crop); - - for (int i = 0; i < points.size(); i++) { - points[i][0] -= left; - points[i][1] -= top; - } - - int img_crop_width = int(sqrt(pow(points[0][0] - points[1][0], 2) + - pow(points[0][1] - points[1][1], 2))); - int img_crop_height = int(sqrt(pow(points[0][0] - points[3][0], 2) + - pow(points[0][1] - points[3][1], 2))); - - cv::Point2f pts_std[4]; - pts_std[0] = cv::Point2f(0., 0.); - pts_std[1] = cv::Point2f(img_crop_width, 0.); - pts_std[2] = cv::Point2f(img_crop_width, img_crop_height); - pts_std[3] = cv::Point2f(0.f, img_crop_height); - - cv::Point2f pointsf[4]; - pointsf[0] = cv::Point2f(points[0][0], points[0][1]); - pointsf[1] = cv::Point2f(points[1][0], points[1][1]); - pointsf[2] = cv::Point2f(points[2][0], points[2][1]); - pointsf[3] = cv::Point2f(points[3][0], points[3][1]); - - cv::Mat M = cv::getPerspectiveTransform(pointsf, pts_std); - - cv::Mat dst_img; - cv::warpPerspective(img_crop, dst_img, M, cv::Size(img_crop_width, img_crop_height), - cv::BORDER_REPLICATE); - - if (float(dst_img.rows) >= float(dst_img.cols) * 1.5) { - /* - cv::Mat srcCopy = cv::Mat(dst_img.rows, dst_img.cols, dst_img.depth()); - cv::transpose(dst_img, srcCopy); - cv::flip(srcCopy, srcCopy, 0); - return srcCopy; - */ - cv::transpose(dst_img, dst_img); - cv::flip(dst_img, dst_img, 0); - return dst_img; - } else { - return dst_img; - } - -} - diff --git a/deploy/android_demo/app/src/main/cpp/ocr_crnn_process.h b/deploy/android_demo/app/src/main/cpp/ocr_crnn_process.h deleted file mode 100644 index 99d0124a..00000000 --- a/deploy/android_demo/app/src/main/cpp/ocr_crnn_process.h +++ /dev/null @@ -1,19 +0,0 @@ -// -// Created by fujiayi on 2020/7/3. -// -#pragma once - -#include -#include -#include "common.h" - -extern const std::vector REC_IMAGE_SHAPE; - -cv::Mat get_rotate_crop_image(const cv::Mat &srcimage, const std::vector> &box); - -cv::Mat crnn_resize_img(const cv::Mat &img, float wh_ratio); - -template -inline size_t argmax(ForwardIterator first, ForwardIterator last) { - return std::distance(first, std::max_element(first, last)); -} \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/cpp/ocr_db_post_process.cpp b/deploy/android_demo/app/src/main/cpp/ocr_db_post_process.cpp deleted file mode 100644 index 7c3c60db..00000000 --- a/deploy/android_demo/app/src/main/cpp/ocr_db_post_process.cpp +++ /dev/null @@ -1,336 +0,0 @@ -// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -#include -#include -#include -#include "opencv2/core.hpp" -#include "opencv2/imgcodecs.hpp" -#include "opencv2/imgproc.hpp" -#include "ocr_clipper.hpp" - -static void getcontourarea(float **box, float unclip_ratio, float &distance) { - int pts_num = 4; - float area = 0.0f; - float dist = 0.0f; - for (int i = 0; i < pts_num; i++) { - area += box[i][0] * box[(i + 1) % pts_num][1] - box[i][1] * box[(i + 1) % pts_num][0]; - dist += sqrtf( - (box[i][0] - box[(i + 1) % pts_num][0]) * (box[i][0] - box[(i + 1) % pts_num][0]) + - (box[i][1] - box[(i + 1) % pts_num][1]) * (box[i][1] - box[(i + 1) % pts_num][1])); - } - area = fabs(float(area / 2.0)); - - distance = area * unclip_ratio / dist; - -} - -static cv::RotatedRect unclip(float **box) { - float unclip_ratio = 2.0; - float distance = 1.0; - - getcontourarea(box, unclip_ratio, distance); - - ClipperLib::ClipperOffset offset; - ClipperLib::Path p; - p << ClipperLib::IntPoint(int(box[0][0]), int(box[0][1])) - << ClipperLib::IntPoint(int(box[1][0]), int(box[1][1])) << - ClipperLib::IntPoint(int(box[2][0]), int(box[2][1])) - << ClipperLib::IntPoint(int(box[3][0]), int(box[3][1])); - offset.AddPath(p, ClipperLib::jtRound, ClipperLib::etClosedPolygon); - - ClipperLib::Paths soln; - offset.Execute(soln, distance); - std::vector points; - - for (int j = 0; j < soln.size(); j++) { - for (int i = 0; i < soln[soln.size() - 1].size(); i++) { - points.emplace_back(soln[j][i].X, soln[j][i].Y); - } - } - cv::RotatedRect res = cv::minAreaRect(points); - - return res; -} - -static float **Mat2Vec(cv::Mat mat) { - auto **array = new float *[mat.rows]; - for (int i = 0; i < mat.rows; ++i){ - array[i] = new float[mat.cols]; - } - for (int i = 0; i < mat.rows; ++i) { - for (int j = 0; j < mat.cols; ++j) { - array[i][j] = mat.at(i, j); - } - } - - return array; -} - -static void quickSort(float **s, int l, int r) { - if (l < r) { - int i = l, j = r; - float x = s[l][0]; - float *xp = s[l]; - while (i < j) { - while (i < j && s[j][0] >= x){ - j--; - } - if (i < j){ - std::swap(s[i++], s[j]); - } - while (i < j && s[i][0] < x){ - i++; - } - if (i < j){ - std::swap(s[j--], s[i]); - } - } - s[i] = xp; - quickSort(s, l, i - 1); - quickSort(s, i + 1, r); - } -} - -static void quickSort_vector(std::vector> &box, int l, int r, int axis) { - if (l < r) { - int i = l, j = r; - int x = box[l][axis]; - std::vector xp(box[l]); - while (i < j) { - while (i < j && box[j][axis] >= x){ - j--; - } - if (i < j){ - std::swap(box[i++], box[j]); - } - while (i < j && box[i][axis] < x){ - i++; - } - if (i < j){ - std::swap(box[j--], box[i]); - } - } - box[i] = xp; - quickSort_vector(box, l, i - 1, axis); - quickSort_vector(box, i + 1, r, axis); - } -} - -static std::vector> order_points_clockwise(std::vector> pts) { - std::vector> box = pts; - quickSort_vector(box, 0, int(box.size() - 1), 0); - std::vector> leftmost = {box[0], box[1]}; - std::vector> rightmost = {box[2], box[3]}; - - if (leftmost[0][1] > leftmost[1][1]){ - std::swap(leftmost[0], leftmost[1]); - } - - if (rightmost[0][1] > rightmost[1][1]){ - std::swap(rightmost[0], rightmost[1]); - } - - std::vector> rect = {leftmost[0], rightmost[0], rightmost[1], leftmost[1]}; - return rect; -} - -static float **get_mini_boxes(cv::RotatedRect box, float &ssid) { - ssid = box.size.width >= box.size.height ? box.size.height : box.size.width; - - cv::Mat points; - cv::boxPoints(box, points); - // sorted box points - auto array = Mat2Vec(points); - quickSort(array, 0, 3); - - float *idx1 = array[0], *idx2 = array[1], *idx3 = array[2], *idx4 = array[3]; - if (array[3][1] <= array[2][1]) { - idx2 = array[3]; - idx3 = array[2]; - } else { - idx2 = array[2]; - idx3 = array[3]; - } - if (array[1][1] <= array[0][1]) { - idx1 = array[1]; - idx4 = array[0]; - } else { - idx1 = array[0]; - idx4 = array[1]; - } - - array[0] = idx1; - array[1] = idx2; - array[2] = idx3; - array[3] = idx4; - - return array; -} - -template T clamp(T x, T min, T max) { - if (x > max){ - return max; - } - if (x < min){ - return min; - } - return x; -} - -static float clampf(float x, float min, float max) { - if (x > max) - return max; - if (x < min) - return min; - return x; -} - - -float box_score_fast(float **box_array, cv::Mat pred) { - auto array = box_array; - int width = pred.cols; - int height = pred.rows; - - float box_x[4] = {array[0][0], array[1][0], array[2][0], array[3][0]}; - float box_y[4] = {array[0][1], array[1][1], array[2][1], array[3][1]}; - - int xmin = clamp(int(std::floorf(*(std::min_element(box_x, box_x + 4)))), 0, width - 1); - int xmax = clamp(int(std::ceilf(*(std::max_element(box_x, box_x + 4)))), 0, width - 1); - int ymin = clamp(int(std::floorf(*(std::min_element(box_y, box_y + 4)))), 0, height - 1); - int ymax = clamp(int(std::ceilf(*(std::max_element(box_y, box_y + 4)))), 0, height - 1); - - cv::Mat mask; - mask = cv::Mat::zeros(ymax - ymin + 1, xmax - xmin + 1, CV_8UC1); - - cv::Point root_point[4]; - root_point[0] = cv::Point(int(array[0][0]) - xmin, int(array[0][1]) - ymin); - root_point[1] = cv::Point(int(array[1][0]) - xmin, int(array[1][1]) - ymin); - root_point[2] = cv::Point(int(array[2][0]) - xmin, int(array[2][1]) - ymin); - root_point[3] = cv::Point(int(array[3][0]) - xmin, int(array[3][1]) - ymin); - const cv::Point *ppt[1] = {root_point}; - int npt[] = {4}; - cv::fillPoly(mask, ppt, npt, 1, cv::Scalar(1)); - - cv::Mat croppedImg; - pred(cv::Rect(xmin, ymin, xmax - xmin + 1, ymax - ymin + 1)).copyTo(croppedImg); - - auto score = cv::mean(croppedImg, mask)[0]; - return score; -} - - -std::vector>> -boxes_from_bitmap(const cv::Mat& pred, const cv::Mat& bitmap) { - const int min_size = 3; - const int max_candidates = 1000; - const float box_thresh = 0.5; - - int width = bitmap.cols; - int height = bitmap.rows; - - std::vector> contours; - std::vector hierarchy; - - cv::findContours(bitmap, contours, hierarchy, cv::RETR_LIST, cv::CHAIN_APPROX_SIMPLE); - - int num_contours = contours.size() >= max_candidates ? max_candidates : contours.size(); - - std::vector>> boxes; - - for (int _i = 0; _i < num_contours; _i++) { - float ssid; - cv::RotatedRect box = cv::minAreaRect(contours[_i]); - auto array = get_mini_boxes(box, ssid); - - auto box_for_unclip = array; - //end get_mini_box - - if (ssid < min_size) { - continue; - } - - float score; - score = box_score_fast(array, pred); - //end box_score_fast - if (score < box_thresh){ - continue; - } - - - // start for unclip - cv::RotatedRect points = unclip(box_for_unclip); - // end for unclip - - cv::RotatedRect clipbox = points; - auto cliparray = get_mini_boxes(clipbox, ssid); - - if (ssid < min_size + 2) continue; - - int dest_width = pred.cols; - int dest_height = pred.rows; - std::vector> intcliparray; - - for (int num_pt = 0; num_pt < 4; num_pt++) { - std::vector a{ - int(clampf(roundf(cliparray[num_pt][0] / float(width) * float(dest_width)), 0, - float(dest_width))), - int(clampf(roundf(cliparray[num_pt][1] / float(height) * float(dest_height)), 0, - float(dest_height)))}; - intcliparray.emplace_back(std::move(a)); - } - boxes.emplace_back(std::move(intcliparray)); - - }//end for - return boxes; -} - -int _max(int a, int b) { - return a >= b ? a : b; -} - -int _min(int a, int b) { - return a >= b ? b : a; -} - -std::vector>> -filter_tag_det_res(const std::vector>>& o_boxes, - float ratio_h, float ratio_w,const cv::Mat& srcimg) { - int oriimg_h = srcimg.rows; - int oriimg_w = srcimg.cols; - std::vector>> boxes{o_boxes}; - std::vector>> root_points; - for (int n = 0; n < boxes.size(); n++) { - boxes[n] = order_points_clockwise(boxes[n]); - for (int m = 0; m < boxes[0].size(); m++) { - boxes[n][m][0] /= ratio_w; - boxes[n][m][1] /= ratio_h; - - boxes[n][m][0] = int(_min(_max(boxes[n][m][0], 0), oriimg_w - 1)); - boxes[n][m][1] = int(_min(_max(boxes[n][m][1], 0), oriimg_h - 1)); - } - } - - for (int n = 0; n < boxes.size(); n++) { - int rect_width, rect_height; - rect_width = int(sqrt( - pow(boxes[n][0][0] - boxes[n][1][0], 2) + pow(boxes[n][0][1] - boxes[n][1][1], 2))); - rect_height = int(sqrt( - pow(boxes[n][0][0] - boxes[n][3][0], 2) + pow(boxes[n][0][1] - boxes[n][3][1], 2))); - if (rect_width <= 10 || rect_height <= 10) - continue; - root_points.push_back(boxes[n]); - } - return root_points; -} \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/cpp/ocr_db_post_process.h b/deploy/android_demo/app/src/main/cpp/ocr_db_post_process.h deleted file mode 100644 index 86117512..00000000 --- a/deploy/android_demo/app/src/main/cpp/ocr_db_post_process.h +++ /dev/null @@ -1,17 +0,0 @@ -// -// Created by fujiayi on 2020/7/2. -// -#pragma once -#include -#include - -std::vector>> -boxes_from_bitmap(const cv::Mat &pred, const cv::Mat &bitmap); - -std::vector>> -filter_tag_det_res( - const std::vector>> &o_boxes, - float ratio_h, - float ratio_w, - const cv::Mat &srcimg -); \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/cpp/ocr_ppredictor.cpp b/deploy/android_demo/app/src/main/cpp/ocr_ppredictor.cpp deleted file mode 100644 index 3d014771..00000000 --- a/deploy/android_demo/app/src/main/cpp/ocr_ppredictor.cpp +++ /dev/null @@ -1,186 +0,0 @@ -// -// Created by fujiayi on 2020/7/1. -// - -#include "ocr_ppredictor.h" -#include "preprocess.h" -#include "common.h" -#include "ocr_db_post_process.h" -#include "ocr_crnn_process.h" - -namespace ppredictor { - -OCR_PPredictor::OCR_PPredictor(const OCR_Config &config) : _config(config) { - -} - -int -OCR_PPredictor::init(const std::string &det_model_content, const std::string &rec_model_content) { - _det_predictor = std::unique_ptr( - new PPredictor{_config.thread_num, NET_OCR, _config.mode}); - _det_predictor->init_nb(det_model_content); - - _rec_predictor = std::unique_ptr( - new PPredictor{_config.thread_num, NET_OCR_INTERNAL, _config.mode}); - _rec_predictor->init_nb(rec_model_content); - return RETURN_OK; -} - -int OCR_PPredictor::init_from_file(const std::string &det_model_path, const std::string &rec_model_path){ - _det_predictor = std::unique_ptr( - new PPredictor{_config.thread_num, NET_OCR, _config.mode}); - _det_predictor->init_from_file(det_model_path); - - _rec_predictor = std::unique_ptr( - new PPredictor{_config.thread_num, NET_OCR_INTERNAL, _config.mode}); - _rec_predictor->init_from_file(rec_model_path); - return RETURN_OK; -} -/** - * for debug use, show result of First Step - * @param filter_boxes - * @param boxes - * @param srcimg - */ -static void visual_img(const std::vector>> &filter_boxes, - const std::vector>> &boxes, - const cv::Mat &srcimg) { - // visualization - cv::Point rook_points[filter_boxes.size()][4]; - for (int n = 0; n < filter_boxes.size(); n++) { - for (int m = 0; m < filter_boxes[0].size(); m++) { - rook_points[n][m] = cv::Point(int(filter_boxes[n][m][0]), int(filter_boxes[n][m][1])); - } - } - - cv::Mat img_vis; - srcimg.copyTo(img_vis); - for (int n = 0; n < boxes.size(); n++) { - const cv::Point *ppt[1] = {rook_points[n]}; - int npt[] = {4}; - cv::polylines(img_vis, ppt, npt, 1, 1, CV_RGB(0, 255, 0), 2, 8, 0); - } - // 调试用，自行替换需要修改的路径 - cv::imwrite("/sdcard/1/vis.png", img_vis); -} - -std::vector -OCR_PPredictor::infer_ocr(const std::vector &dims, const float *input_data, int input_len, - int net_flag, cv::Mat &origin) { - - PredictorInput input = _det_predictor->get_first_input(); - input.set_dims(dims); - input.set_data(input_data, input_len); - std::vector results = _det_predictor->infer(); - PredictorOutput &res = results.at(0); - std::vector>> filtered_box - = calc_filtered_boxes(res.get_float_data(), res.get_size(), (int) dims[2], (int) dims[3], - origin); - LOGI("Filter_box size %ld", filtered_box.size()); - return infer_rec(filtered_box, origin); -} - -std::vector -OCR_PPredictor::infer_rec(const std::vector>> &boxes, - const cv::Mat &origin_img) { - std::vector mean = {0.5f, 0.5f, 0.5f}; - std::vector scale = {1 / 0.5f, 1 / 0.5f, 1 / 0.5f}; - std::vector dims = {1, 3, 0, 0}; - std::vector ocr_results; - - PredictorInput input = _rec_predictor->get_first_input(); - for (auto bp = boxes.crbegin(); bp != boxes.crend(); ++bp) { - const std::vector> &box = *bp; - cv::Mat crop_img = get_rotate_crop_image(origin_img, box); - float wh_ratio = float(crop_img.cols) / float(crop_img.rows); - cv::Mat input_image = crnn_resize_img(crop_img, wh_ratio); - input_image.convertTo(input_image, CV_32FC3, 1 / 255.0f); - const float *dimg = reinterpret_cast(input_image.data); - int input_size = input_image.rows * input_image.cols; - - dims[2] = input_image.rows; - dims[3] = input_image.cols; - input.set_dims(dims); - - neon_mean_scale(dimg, input.get_mutable_float_data(), input_size, mean, scale); - - std::vector results = _rec_predictor->infer(); - - OCRPredictResult res; - res.word_index = postprocess_rec_word_index(results.at(0)); - if (res.word_index.empty()) { - continue; - } - res.score = postprocess_rec_score(results.at(1)); - res.points = box; - ocr_results.emplace_back(std::move(res)); - } - LOGI("ocr_results finished %lu", ocr_results.size()); - return ocr_results; -} - -std::vector>> -OCR_PPredictor::calc_filtered_boxes(const float *pred, int pred_size, int output_height, - int output_width, const cv::Mat &origin) { - const double threshold = 0.3; - const double maxvalue = 1; - - cv::Mat pred_map = cv::Mat::zeros(output_height, output_width, CV_32F); - memcpy(pred_map.data, pred, pred_size * sizeof(float)); - cv::Mat cbuf_map; - pred_map.convertTo(cbuf_map, CV_8UC1); - - cv::Mat bit_map; - cv::threshold(cbuf_map, bit_map, threshold, maxvalue, cv::THRESH_BINARY); - - std::vector>> boxes = boxes_from_bitmap(pred_map, bit_map); - float ratio_h = output_height * 1.0f / origin.rows; - float ratio_w = output_width * 1.0f / origin.cols; - std::vector>> filter_boxes = filter_tag_det_res(boxes, ratio_h, - ratio_w, origin); - return filter_boxes; -} - -std::vector OCR_PPredictor::postprocess_rec_word_index(const PredictorOutput &res) { - const int *rec_idx = res.get_int_data(); - const std::vector> rec_idx_lod = res.get_lod(); - - std::vector pred_idx; - for (int n = int(rec_idx_lod[0][0]); n < int(rec_idx_lod[0][1] * 2); n += 2) { - pred_idx.emplace_back(rec_idx[n]); - } - return pred_idx; -} - -float OCR_PPredictor::postprocess_rec_score(const PredictorOutput &res) { - const float *predict_batch = res.get_float_data(); - const std::vector predict_shape = res.get_shape(); - const std::vector> predict_lod = res.get_lod(); - int blank = predict_shape[1]; - float score = 0.f; - int count = 0; - for (int n = predict_lod[0][0]; n < predict_lod[0][1] - 1; n++) { - int argmax_idx = argmax(predict_batch + n * predict_shape[1], - predict_batch + (n + 1) * predict_shape[1]); - float max_value = predict_batch[n * predict_shape[1] + argmax_idx]; - if (blank - 1 - argmax_idx > 1e-5) { - score += max_value; - count += 1; - } - - } - if (count == 0) { - LOGE("calc score count 0"); - } else { - score /= count; - } - LOGI("calc score: %f", score); - return score; - -} - - -NET_TYPE OCR_PPredictor::get_net_flag() const { - return NET_OCR; -} -} \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/cpp/ocr_ppredictor.h b/deploy/android_demo/app/src/main/cpp/ocr_ppredictor.h deleted file mode 100644 index eb2bc3bc..00000000 --- a/deploy/android_demo/app/src/main/cpp/ocr_ppredictor.h +++ /dev/null @@ -1,112 +0,0 @@ -// -// Created by fujiayi on 2020/7/1. -// - -#pragma once - -#include -#include -#include -#include "ppredictor.h" - -namespace ppredictor { - -/** - * Config - */ -struct OCR_Config { - int thread_num = 4; // Thread num - paddle::lite_api::PowerMode mode = paddle::lite_api::LITE_POWER_HIGH; // PaddleLite Mode -}; - -/** - * PolyGone Result - */ -struct OCRPredictResult { - std::vector word_index; - std::vector> points; - float score; -}; - -/** - * OCR there are 2 models - * 1. First model（det），select polygones to show where are the texts - * 2. crop from the origin images, use these polygones to infer - */ -class OCR_PPredictor : public PPredictor_Interface { -public: - OCR_PPredictor(const OCR_Config &config); - - virtual ~OCR_PPredictor() { - - } - - /** - * 初始化二个模型的Predictor - * @param det_model_content - * @param rec_model_content - * @return - */ - int init(const std::string &det_model_content, const std::string &rec_model_content); - int init_from_file(const std::string &det_model_path, const std::string &rec_model_path); - /** - * Return OCR result - * @param dims - * @param input_data - * @param input_len - * @param net_flag - * @param origin - * @return - */ - virtual std::vector - infer_ocr(const std::vector &dims, const float *input_data, int input_len, - int net_flag, cv::Mat &origin); - - - virtual NET_TYPE get_net_flag() const; - - -private: - - /** - * calcul Polygone from the result image of first model - * @param pred - * @param output_height - * @param output_width - * @param origin - * @return - */ - std::vector>> - calc_filtered_boxes(const float *pred, int pred_size, int output_height, int output_width, - const cv::Mat &origin); - - /** - * infer for second model - * - * @param boxes - * @param origin - * @return - */ - std::vector - infer_rec(const std::vector>> &boxes, const cv::Mat &origin); - - /** - * Postprocess or sencod model to extract text - * @param res - * @return - */ - std::vector postprocess_rec_word_index(const PredictorOutput &res); - - /** - * calculate confidence of second model text result - * @param res - * @return - */ - float postprocess_rec_score(const PredictorOutput &res); - - std::unique_ptr _det_predictor; - std::unique_ptr _rec_predictor; - OCR_Config _config; - -}; -} diff --git a/deploy/android_demo/app/src/main/cpp/ppredictor.cpp b/deploy/android_demo/app/src/main/cpp/ppredictor.cpp deleted file mode 100644 index a9086bc6..00000000 --- a/deploy/android_demo/app/src/main/cpp/ppredictor.cpp +++ /dev/null @@ -1,70 +0,0 @@ -#include "ppredictor.h" -#include "common.h" - -namespace ppredictor { -PPredictor::PPredictor(int thread_num, int net_flag, paddle::lite_api::PowerMode mode) : - _thread_num(thread_num), _net_flag(net_flag), _mode(mode) { -} - -int PPredictor::init_nb(const std::string &model_content) { - paddle::lite_api::MobileConfig config; - config.set_model_from_buffer(model_content); - return _init(config); -} - -int PPredictor::init_from_file(const std::string &model_content){ - paddle::lite_api::MobileConfig config; - config.set_model_from_file(model_content); - return _init(config); -} - -template -int PPredictor::_init(ConfigT &config) { - config.set_threads(_thread_num); - config.set_power_mode(_mode); - _predictor = paddle::lite_api::CreatePaddlePredictor(config); - LOGI("paddle instance created"); - return RETURN_OK; -} - -PredictorInput PPredictor::get_input(int index) { - PredictorInput input{_predictor->GetInput(index), index, _net_flag}; - _is_input_get = true; - return input; -} - -std::vector PPredictor::get_inputs(int num) { - std::vector results; - for (int i = 0; i < num; i++) { - results.emplace_back(get_input(i)); - } - return results; -} - -PredictorInput PPredictor::get_first_input() { - return get_input(0); -} - -std::vector PPredictor::infer() { - LOGI("infer Run start %d", _net_flag); - std::vector results; - if (!_is_input_get) { - return results; - } - _predictor->Run(); - LOGI("infer Run end"); - - for (int i = 0; i < _predictor->GetOutputNames().size(); i++) { - std::unique_ptr output_tensor = _predictor->GetOutput(i); - LOGI("output tensor[%d] size %ld", i, product(output_tensor->shape())); - PredictorOutput result{std::move(output_tensor), i, _net_flag}; - results.emplace_back(std::move(result)); - } - return results; -} - -NET_TYPE PPredictor::get_net_flag() const { - return (NET_TYPE) _net_flag; -} - -} \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/cpp/ppredictor.h b/deploy/android_demo/app/src/main/cpp/ppredictor.h deleted file mode 100644 index 1391109f..00000000 --- a/deploy/android_demo/app/src/main/cpp/ppredictor.h +++ /dev/null @@ -1,74 +0,0 @@ -#pragma once - -#include "paddle_api.h" -#include "predictor_input.h" -#include "predictor_output.h" - -namespace ppredictor { - -/** - * PaddleLite Preditor Common Interface - */ -class PPredictor_Interface { -public: - virtual ~PPredictor_Interface() { - - } - - - virtual NET_TYPE get_net_flag() const = 0; - -}; - -/** - * Common Predictor - */ -class PPredictor : public PPredictor_Interface { -public: - PPredictor(int thread_num, int net_flag = 0, - paddle::lite_api::PowerMode mode = paddle::lite_api::LITE_POWER_HIGH); - - virtual ~PPredictor() { - - } - - /** - * init paddlitelite opt model，nb format ，or use ini_paddle - * @param model_content - * @return 0 - */ - virtual int init_nb(const std::string &model_content); - - virtual int init_from_file(const std::string &model_content); - - std::vector infer(); - - std::shared_ptr get_predictor() { - return _predictor; - } - - virtual std::vector get_inputs(int num); - - virtual PredictorInput get_input(int index); - - virtual PredictorInput get_first_input(); - - virtual NET_TYPE get_net_flag() const; - -protected: - template - int _init(ConfigT &config); - -private: - int _thread_num; - paddle::lite_api::PowerMode _mode; - std::shared_ptr _predictor; - bool _is_input_get = false; - int _net_flag; - -}; - - -} - - diff --git a/deploy/android_demo/app/src/main/cpp/predictor_input.cpp b/deploy/android_demo/app/src/main/cpp/predictor_input.cpp deleted file mode 100644 index 9a1dd223..00000000 --- a/deploy/android_demo/app/src/main/cpp/predictor_input.cpp +++ /dev/null @@ -1,29 +0,0 @@ -#include "predictor_input.h" - -namespace ppredictor { - - -void PredictorInput::set_dims(std::vector dims) { - // yolov3 - if (_net_flag == 101 && _index == 1) { - _tensor->Resize({1, 2}); - _tensor->mutable_data()[0] = (int) dims.at(2); - _tensor->mutable_data()[1] = (int) dims.at(3); - } else { - _tensor->Resize(dims); - } - _is_dims_set = true; -} - -float *PredictorInput::get_mutable_float_data() { - if (!_is_dims_set) { - LOGE("PredictorInput::set_dims is not called"); - } - return _tensor->mutable_data(); -} - -void PredictorInput::set_data(const float *input_data, int input_float_len) { - float *input_raw_data = get_mutable_float_data(); - memcpy(input_raw_data, input_data, input_float_len * sizeof(float)); -} -} \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/cpp/predictor_input.h b/deploy/android_demo/app/src/main/cpp/predictor_input.h deleted file mode 100644 index b48db189..00000000 --- a/deploy/android_demo/app/src/main/cpp/predictor_input.h +++ /dev/null @@ -1,28 +0,0 @@ -#pragma once - -#include -#include -#include "common.h" - -namespace ppredictor { -class PredictorInput { -public: - PredictorInput(std::unique_ptr &&tensor, int index, int net_flag) : - _tensor(std::move(tensor)), _index(index),_net_flag(net_flag) { - - } - - - void set_dims(std::vector dims); - - float *get_mutable_float_data(); - - void set_data(const float *input_data, int input_float_len); - -private: - std::unique_ptr _tensor; - bool _is_dims_set = false; - int _index; - int _net_flag; -}; -} diff --git a/deploy/android_demo/app/src/main/cpp/predictor_output.cpp b/deploy/android_demo/app/src/main/cpp/predictor_output.cpp deleted file mode 100644 index 08155633..00000000 --- a/deploy/android_demo/app/src/main/cpp/predictor_output.cpp +++ /dev/null @@ -1,27 +0,0 @@ -#include "predictor_output.h" -namespace ppredictor { -const float* PredictorOutput::get_float_data() const{ - return _tensor->data(); -} - -const int* PredictorOutput::get_int_data() const{ - return _tensor->data(); -} - -const std::vector> PredictorOutput::get_lod() const{ - return _tensor->lod(); -} - -int64_t PredictorOutput::get_size() const{ - if (_net_flag == NET_OCR) { - return _tensor->shape().at(2) * _tensor->shape().at(3); - } else { - return product(_tensor->shape()); - } -} - -const std::vector PredictorOutput::get_shape() const{ - return _tensor->shape(); - -} -} \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/cpp/predictor_output.h b/deploy/android_demo/app/src/main/cpp/predictor_output.h deleted file mode 100644 index ec7086c6..00000000 --- a/deploy/android_demo/app/src/main/cpp/predictor_output.h +++ /dev/null @@ -1,35 +0,0 @@ -#pragma once - -#include -#include -#include "common.h" - -namespace ppredictor { -class PredictorOutput { -public: - PredictorOutput(){ - - } - PredictorOutput(std::unique_ptr &&tensor, int index, int net_flag) : - _tensor(std::move(tensor)), _index(index), _net_flag(net_flag) { - - } - - const float* get_float_data() const; - const int* get_int_data() const; - int64_t get_size() const; - const std::vector> get_lod() const; - const std::vector get_shape() const; - - std::vector data; // return float, or use data_int - std::vector data_int; // several layers return int ，or use data - std::vector shape; // PaddleLite output shape - std::vector> lod; // PaddleLite output lod - -private: - std::unique_ptr _tensor; - int _index; - int _net_flag; -}; -} - diff --git a/deploy/android_demo/app/src/main/cpp/preprocess.cpp b/deploy/android_demo/app/src/main/cpp/preprocess.cpp deleted file mode 100644 index 5543cdd1..00000000 --- a/deploy/android_demo/app/src/main/cpp/preprocess.cpp +++ /dev/null @@ -1,84 +0,0 @@ -#include "preprocess.h" -#include - -cv::Mat bitmap_to_cv_mat(JNIEnv *env, jobject bitmap) { - AndroidBitmapInfo info; - int result = AndroidBitmap_getInfo(env, bitmap, &info); - if (result != ANDROID_BITMAP_RESULT_SUCCESS) { - LOGE("AndroidBitmap_getInfo failed, result: %d", result); - return cv::Mat{}; - } - if (info.format != ANDROID_BITMAP_FORMAT_RGBA_8888) { - LOGE("Bitmap format is not RGBA_8888 !"); - return cv::Mat{}; - } - unsigned char *srcData = NULL; - AndroidBitmap_lockPixels(env, bitmap, (void **) &srcData); - cv::Mat mat = cv::Mat::zeros(info.height, info.width, CV_8UC4); - memcpy(mat.data, srcData, info.height * info.width * 4); - AndroidBitmap_unlockPixels(env, bitmap); - cv::cvtColor(mat, mat, cv::COLOR_RGBA2BGR); - /** - if (!cv::imwrite("/sdcard/1/copy.jpg", mat)){ - LOGE("Write image failed " ); - } - */ - - return mat; -} - -cv::Mat resize_img(const cv::Mat& img, int height, int width){ - if (img.rows == height && img.cols == width){ - return img; - } - cv::Mat new_img; - cv::resize(img, new_img, cv::Size(height, width)); - return new_img; -} - -// fill tensor with mean and scale and trans layout: nhwc -> nchw, neon speed up -void neon_mean_scale(const float* din, - float* dout, - int size, - const std::vector& mean, - const std::vector& scale) { - if (mean.size() != 3 || scale.size() != 3) { - LOGE("[ERROR] mean or scale size must equal to 3"); - return; - } - - float32x4_t vmean0 = vdupq_n_f32(mean[0]); - float32x4_t vmean1 = vdupq_n_f32(mean[1]); - float32x4_t vmean2 = vdupq_n_f32(mean[2]); - float32x4_t vscale0 = vdupq_n_f32(scale[0]); - float32x4_t vscale1 = vdupq_n_f32(scale[1]); - float32x4_t vscale2 = vdupq_n_f32(scale[2]); - - float* dout_c0 = dout; - float* dout_c1 = dout + size; - float* dout_c2 = dout + size * 2; - - int i = 0; - for (; i < size - 3; i += 4) { - float32x4x3_t vin3 = vld3q_f32(din); - float32x4_t vsub0 = vsubq_f32(vin3.val[0], vmean0); - float32x4_t vsub1 = vsubq_f32(vin3.val[1], vmean1); - float32x4_t vsub2 = vsubq_f32(vin3.val[2], vmean2); - float32x4_t vs0 = vmulq_f32(vsub0, vscale0); - float32x4_t vs1 = vmulq_f32(vsub1, vscale1); - float32x4_t vs2 = vmulq_f32(vsub2, vscale2); - vst1q_f32(dout_c0, vs0); - vst1q_f32(dout_c1, vs1); - vst1q_f32(dout_c2, vs2); - - din += 12; - dout_c0 += 4; - dout_c1 += 4; - dout_c2 += 4; - } - for (; i < size; i++) { - *(dout_c0++) = (*(din++) - mean[0]) * scale[0]; - *(dout_c1++) = (*(din++) - mean[1]) * scale[1]; - *(dout_c2++) = (*(din++) - mean[2]) * scale[2]; - } -} \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/cpp/preprocess.h b/deploy/android_demo/app/src/main/cpp/preprocess.h deleted file mode 100644 index c256c440..00000000 --- a/deploy/android_demo/app/src/main/cpp/preprocess.h +++ /dev/null @@ -1,14 +0,0 @@ -#pragma once - -#include -#include -#include "common.h" -cv::Mat bitmap_to_cv_mat(JNIEnv *env, jobject bitmap); - -cv::Mat resize_img(const cv::Mat& img, int height, int width); - -void neon_mean_scale(const float* din, - float* dout, - int size, - const std::vector& mean, - const std::vector& scale); diff --git a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/AppCompatPreferenceActivity.java b/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/AppCompatPreferenceActivity.java deleted file mode 100644 index 49af0afe..00000000 --- a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/AppCompatPreferenceActivity.java +++ /dev/null @@ -1,128 +0,0 @@ -/* - * Copyright (C) 2014 The Android Open Source Project - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package com.baidu.paddle.lite.demo.ocr; - -import android.content.res.Configuration; -import android.os.Bundle; -import android.preference.PreferenceActivity; -import android.view.MenuInflater; -import android.view.View; -import android.view.ViewGroup; - -import androidx.annotation.LayoutRes; -import androidx.annotation.Nullable; -import androidx.appcompat.app.ActionBar; -import androidx.appcompat.app.AppCompatDelegate; -import androidx.appcompat.widget.Toolbar; - -/** - * A {@link PreferenceActivity} which implements and proxies the necessary calls - * to be used with AppCompat. - *

- * This technique can be used with an {@link android.app.Activity} class, not just - * {@link PreferenceActivity}. - */ -public abstract class AppCompatPreferenceActivity extends PreferenceActivity { - private AppCompatDelegate mDelegate; - - @Override - protected void onCreate(Bundle savedInstanceState) { - getDelegate().installViewFactory(); - getDelegate().onCreate(savedInstanceState); - super.onCreate(savedInstanceState); - } - - @Override - protected void onPostCreate(Bundle savedInstanceState) { - super.onPostCreate(savedInstanceState); - getDelegate().onPostCreate(savedInstanceState); - } - - public ActionBar getSupportActionBar() { - return getDelegate().getSupportActionBar(); - } - - public void setSupportActionBar(@Nullable Toolbar toolbar) { - getDelegate().setSupportActionBar(toolbar); - } - - @Override - public MenuInflater getMenuInflater() { - return getDelegate().getMenuInflater(); - } - - @Override - public void setContentView(@LayoutRes int layoutResID) { - getDelegate().setContentView(layoutResID); - } - - @Override - public void setContentView(View view) { - getDelegate().setContentView(view); - } - - @Override - public void setContentView(View view, ViewGroup.LayoutParams params) { - getDelegate().setContentView(view, params); - } - - @Override - public void addContentView(View view, ViewGroup.LayoutParams params) { - getDelegate().addContentView(view, params); - } - - @Override - protected void onPostResume() { - super.onPostResume(); - getDelegate().onPostResume(); - } - - @Override - protected void onTitleChanged(CharSequence title, int color) { - super.onTitleChanged(title, color); - getDelegate().setTitle(title); - } - - @Override - public void onConfigurationChanged(Configuration newConfig) { - super.onConfigurationChanged(newConfig); - getDelegate().onConfigurationChanged(newConfig); - } - - @Override - protected void onStop() { - super.onStop(); - getDelegate().onStop(); - } - - @Override - protected void onDestroy() { - super.onDestroy(); - getDelegate().onDestroy(); - } - - public void invalidateOptionsMenu() { - getDelegate().invalidateOptionsMenu(); - } - - private AppCompatDelegate getDelegate() { - if (mDelegate == null) { - mDelegate = AppCompatDelegate.create(this, null); - } - return mDelegate; - } -} diff --git a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/MainActivity.java b/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/MainActivity.java deleted file mode 100644 index afb261dc..00000000 --- a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/MainActivity.java +++ /dev/null @@ -1,473 +0,0 @@ -package com.baidu.paddle.lite.demo.ocr; - -import android.Manifest; -import android.app.ProgressDialog; -import android.content.ContentResolver; -import android.content.Context; -import android.content.Intent; -import android.content.SharedPreferences; -import android.content.pm.PackageManager; -import android.database.Cursor; -import android.graphics.Bitmap; -import android.graphics.BitmapFactory; -import android.media.ExifInterface; -import android.net.Uri; -import android.os.Bundle; -import android.os.Environment; -import android.os.Handler; -import android.os.HandlerThread; -import android.os.Message; -import android.preference.PreferenceManager; -import android.provider.MediaStore; -import android.text.method.ScrollingMovementMethod; -import android.util.Log; -import android.view.Menu; -import android.view.MenuInflater; -import android.view.MenuItem; -import android.widget.ImageView; -import android.widget.TextView; -import android.widget.Toast; - -import androidx.annotation.NonNull; -import androidx.appcompat.app.AppCompatActivity; -import androidx.core.app.ActivityCompat; -import androidx.core.content.ContextCompat; -import androidx.core.content.FileProvider; - -import java.io.File; -import java.io.IOException; -import java.io.InputStream; -import java.text.SimpleDateFormat; -import java.util.Date; - -public class MainActivity extends AppCompatActivity { - private static final String TAG = MainActivity.class.getSimpleName(); - public static final int OPEN_GALLERY_REQUEST_CODE = 0; - public static final int TAKE_PHOTO_REQUEST_CODE = 1; - - public static final int REQUEST_LOAD_MODEL = 0; - public static final int REQUEST_RUN_MODEL = 1; - public static final int RESPONSE_LOAD_MODEL_SUCCESSED = 0; - public static final int RESPONSE_LOAD_MODEL_FAILED = 1; - public static final int RESPONSE_RUN_MODEL_SUCCESSED = 2; - public static final int RESPONSE_RUN_MODEL_FAILED = 3; - - protected ProgressDialog pbLoadModel = null; - protected ProgressDialog pbRunModel = null; - - protected Handler receiver = null; // Receive messages from worker thread - protected Handler sender = null; // Send command to worker thread - protected HandlerThread worker = null; // Worker thread to load&run model - - // UI components of object detection - protected TextView tvInputSetting; - protected ImageView ivInputImage; - protected TextView tvOutputResult; - protected TextView tvInferenceTime; - - // Model settings of object detection - protected String modelPath = ""; - protected String labelPath = ""; - protected String imagePath = ""; - protected int cpuThreadNum = 1; - protected String cpuPowerMode = ""; - protected String inputColorFormat = ""; - protected long[] inputShape = new long[]{}; - protected float[] inputMean = new float[]{}; - protected float[] inputStd = new float[]{}; - protected float scoreThreshold = 0.1f; - private String currentPhotoPath; - - protected Predictor predictor = new Predictor(); - - @Override - protected void onCreate(Bundle savedInstanceState) { - super.onCreate(savedInstanceState); - setContentView(R.layout.activity_main); - - // Clear all setting items to avoid app crashing due to the incorrect settings - SharedPreferences sharedPreferences = PreferenceManager.getDefaultSharedPreferences(this); - SharedPreferences.Editor editor = sharedPreferences.edit(); - editor.clear(); - editor.commit(); - - // Prepare the worker thread for mode loading and inference - receiver = new Handler() { - @Override - public void handleMessage(Message msg) { - switch (msg.what) { - case RESPONSE_LOAD_MODEL_SUCCESSED: - pbLoadModel.dismiss(); - onLoadModelSuccessed(); - break; - case RESPONSE_LOAD_MODEL_FAILED: - pbLoadModel.dismiss(); - Toast.makeText(MainActivity.this, "Load model failed!", Toast.LENGTH_SHORT).show(); - onLoadModelFailed(); - break; - case RESPONSE_RUN_MODEL_SUCCESSED: - pbRunModel.dismiss(); - onRunModelSuccessed(); - break; - case RESPONSE_RUN_MODEL_FAILED: - pbRunModel.dismiss(); - Toast.makeText(MainActivity.this, "Run model failed!", Toast.LENGTH_SHORT).show(); - onRunModelFailed(); - break; - default: - break; - } - } - }; - - worker = new HandlerThread("Predictor Worker"); - worker.start(); - sender = new Handler(worker.getLooper()) { - public void handleMessage(Message msg) { - switch (msg.what) { - case REQUEST_LOAD_MODEL: - // Load model and reload test image - if (onLoadModel()) { - receiver.sendEmptyMessage(RESPONSE_LOAD_MODEL_SUCCESSED); - } else { - receiver.sendEmptyMessage(RESPONSE_LOAD_MODEL_FAILED); - } - break; - case REQUEST_RUN_MODEL: - // Run model if model is loaded - if (onRunModel()) { - receiver.sendEmptyMessage(RESPONSE_RUN_MODEL_SUCCESSED); - } else { - receiver.sendEmptyMessage(RESPONSE_RUN_MODEL_FAILED); - } - break; - default: - break; - } - } - }; - - // Setup the UI components - tvInputSetting = findViewById(R.id.tv_input_setting); - ivInputImage = findViewById(R.id.iv_input_image); - tvInferenceTime = findViewById(R.id.tv_inference_time); - tvOutputResult = findViewById(R.id.tv_output_result); - tvInputSetting.setMovementMethod(ScrollingMovementMethod.getInstance()); - tvOutputResult.setMovementMethod(ScrollingMovementMethod.getInstance()); - } - - @Override - protected void onResume() { - super.onResume(); - SharedPreferences sharedPreferences = PreferenceManager.getDefaultSharedPreferences(this); - boolean settingsChanged = false; - String model_path = sharedPreferences.getString(getString(R.string.MODEL_PATH_KEY), - getString(R.string.MODEL_PATH_DEFAULT)); - String label_path = sharedPreferences.getString(getString(R.string.LABEL_PATH_KEY), - getString(R.string.LABEL_PATH_DEFAULT)); - String image_path = sharedPreferences.getString(getString(R.string.IMAGE_PATH_KEY), - getString(R.string.IMAGE_PATH_DEFAULT)); - settingsChanged |= !model_path.equalsIgnoreCase(modelPath); - settingsChanged |= !label_path.equalsIgnoreCase(labelPath); - settingsChanged |= !image_path.equalsIgnoreCase(imagePath); - int cpu_thread_num = Integer.parseInt(sharedPreferences.getString(getString(R.string.CPU_THREAD_NUM_KEY), - getString(R.string.CPU_THREAD_NUM_DEFAULT))); - settingsChanged |= cpu_thread_num != cpuThreadNum; - String cpu_power_mode = - sharedPreferences.getString(getString(R.string.CPU_POWER_MODE_KEY), - getString(R.string.CPU_POWER_MODE_DEFAULT)); - settingsChanged |= !cpu_power_mode.equalsIgnoreCase(cpuPowerMode); - String input_color_format = - sharedPreferences.getString(getString(R.string.INPUT_COLOR_FORMAT_KEY), - getString(R.string.INPUT_COLOR_FORMAT_DEFAULT)); - settingsChanged |= !input_color_format.equalsIgnoreCase(inputColorFormat); - long[] input_shape = - Utils.parseLongsFromString(sharedPreferences.getString(getString(R.string.INPUT_SHAPE_KEY), - getString(R.string.INPUT_SHAPE_DEFAULT)), ","); - float[] input_mean = - Utils.parseFloatsFromString(sharedPreferences.getString(getString(R.string.INPUT_MEAN_KEY), - getString(R.string.INPUT_MEAN_DEFAULT)), ","); - float[] input_std = - Utils.parseFloatsFromString(sharedPreferences.getString(getString(R.string.INPUT_STD_KEY) - , getString(R.string.INPUT_STD_DEFAULT)), ","); - settingsChanged |= input_shape.length != inputShape.length; - settingsChanged |= input_mean.length != inputMean.length; - settingsChanged |= input_std.length != inputStd.length; - if (!settingsChanged) { - for (int i = 0; i < input_shape.length; i++) { - settingsChanged |= input_shape[i] != inputShape[i]; - } - for (int i = 0; i < input_mean.length; i++) { - settingsChanged |= input_mean[i] != inputMean[i]; - } - for (int i = 0; i < input_std.length; i++) { - settingsChanged |= input_std[i] != inputStd[i]; - } - } - float score_threshold = - Float.parseFloat(sharedPreferences.getString(getString(R.string.SCORE_THRESHOLD_KEY), - getString(R.string.SCORE_THRESHOLD_DEFAULT))); - settingsChanged |= scoreThreshold != score_threshold; - if (settingsChanged) { - modelPath = model_path; - labelPath = label_path; - imagePath = image_path; - cpuThreadNum = cpu_thread_num; - cpuPowerMode = cpu_power_mode; - inputColorFormat = input_color_format; - inputShape = input_shape; - inputMean = input_mean; - inputStd = input_std; - scoreThreshold = score_threshold; - // Update UI - tvInputSetting.setText("Model: " + modelPath.substring(modelPath.lastIndexOf("/") + 1) + "\n" + "CPU" + - " Thread Num: " + Integer.toString(cpuThreadNum) + "\n" + "CPU Power Mode: " + cpuPowerMode); - tvInputSetting.scrollTo(0, 0); - // Reload model if configure has been changed - loadModel(); - } - } - - public void loadModel() { - pbLoadModel = ProgressDialog.show(this, "", "Loading model...", false, false); - sender.sendEmptyMessage(REQUEST_LOAD_MODEL); - } - - public void runModel() { - pbRunModel = ProgressDialog.show(this, "", "Running model...", false, false); - sender.sendEmptyMessage(REQUEST_RUN_MODEL); - } - - public boolean onLoadModel() { - return predictor.init(MainActivity.this, modelPath, labelPath, cpuThreadNum, - cpuPowerMode, - inputColorFormat, - inputShape, inputMean, - inputStd, scoreThreshold); - } - - public boolean onRunModel() { - return predictor.isLoaded() && predictor.runModel(); - } - - public void onLoadModelSuccessed() { - // Load test image from path and run model - try { - if (imagePath.isEmpty()) { - return; - } - Bitmap image = null; - // Read test image file from custom path if the first character of mode path is '/', otherwise read test - // image file from assets - if (!imagePath.substring(0, 1).equals("/")) { - InputStream imageStream = getAssets().open(imagePath); - image = BitmapFactory.decodeStream(imageStream); - } else { - if (!new File(imagePath).exists()) { - return; - } - image = BitmapFactory.decodeFile(imagePath); - } - if (image != null && predictor.isLoaded()) { - predictor.setInputImage(image); - runModel(); - } - } catch (IOException e) { - Toast.makeText(MainActivity.this, "Load image failed!", Toast.LENGTH_SHORT).show(); - e.printStackTrace(); - } - } - - public void onLoadModelFailed() { - } - - public void onRunModelSuccessed() { - // Obtain results and update UI - tvInferenceTime.setText("Inference time: " + predictor.inferenceTime() + " ms"); - Bitmap outputImage = predictor.outputImage(); - if (outputImage != null) { - ivInputImage.setImageBitmap(outputImage); - } - tvOutputResult.setText(predictor.outputResult()); - tvOutputResult.scrollTo(0, 0); - } - - public void onRunModelFailed() { - } - - public void onImageChanged(Bitmap image) { - // Rerun model if users pick test image from gallery or camera - if (image != null && predictor.isLoaded()) { - predictor.setInputImage(image); - runModel(); - } - } - - public void onSettingsClicked() { - startActivity(new Intent(MainActivity.this, SettingsActivity.class)); - } - - @Override - public boolean onCreateOptionsMenu(Menu menu) { - MenuInflater inflater = getMenuInflater(); - inflater.inflate(R.menu.menu_action_options, menu); - return true; - } - - public boolean onPrepareOptionsMenu(Menu menu) { - boolean isLoaded = predictor.isLoaded(); - menu.findItem(R.id.open_gallery).setEnabled(isLoaded); - menu.findItem(R.id.take_photo).setEnabled(isLoaded); - return super.onPrepareOptionsMenu(menu); - } - - @Override - public boolean onOptionsItemSelected(MenuItem item) { - switch (item.getItemId()) { - case android.R.id.home: - finish(); - break; - case R.id.open_gallery: - if (requestAllPermissions()) { - openGallery(); - } - break; - case R.id.take_photo: - if (requestAllPermissions()) { - takePhoto(); - } - break; - case R.id.settings: - if (requestAllPermissions()) { - // Make sure we have SDCard r&w permissions to load model from SDCard - onSettingsClicked(); - } - break; - } - return super.onOptionsItemSelected(item); - } - - @Override - public void onRequestPermissionsResult(int requestCode, @NonNull String[] permissions, - @NonNull int[] grantResults) { - super.onRequestPermissionsResult(requestCode, permissions, grantResults); - if (grantResults[0] != PackageManager.PERMISSION_GRANTED || grantResults[1] != PackageManager.PERMISSION_GRANTED) { - Toast.makeText(this, "Permission Denied", Toast.LENGTH_SHORT).show(); - } - } - - private boolean requestAllPermissions() { - if (ContextCompat.checkSelfPermission(this, Manifest.permission.WRITE_EXTERNAL_STORAGE) - != PackageManager.PERMISSION_GRANTED || ContextCompat.checkSelfPermission(this, - Manifest.permission.CAMERA) - != PackageManager.PERMISSION_GRANTED) { - ActivityCompat.requestPermissions(this, new String[]{Manifest.permission.WRITE_EXTERNAL_STORAGE, - Manifest.permission.CAMERA}, - 0); - return false; - } - return true; - } - - private void openGallery() { - Intent intent = new Intent(Intent.ACTION_PICK, null); - intent.setDataAndType(MediaStore.Images.Media.EXTERNAL_CONTENT_URI, "image/*"); - startActivityForResult(intent, OPEN_GALLERY_REQUEST_CODE); - } - - private void takePhoto() { - Intent takePictureIntent = new Intent(MediaStore.ACTION_IMAGE_CAPTURE); - // Ensure that there's a camera activity to handle the intent - if (takePictureIntent.resolveActivity(getPackageManager()) != null) { - // Create the File where the photo should go - File photoFile = null; - try { - photoFile = createImageFile(); - } catch (IOException ex) { - Log.e("MainActitity", ex.getMessage(), ex); - Toast.makeText(MainActivity.this, - "Create Camera temp file failed: " + ex.getMessage(), Toast.LENGTH_SHORT).show(); - } - // Continue only if the File was successfully created - if (photoFile != null) { - Log.i(TAG, "FILEPATH " + getExternalFilesDir("Pictures").getAbsolutePath()); - Uri photoURI = FileProvider.getUriForFile(this, - "com.baidu.paddle.lite.demo.ocr.fileprovider", - photoFile); - currentPhotoPath = photoFile.getAbsolutePath(); - takePictureIntent.putExtra(MediaStore.EXTRA_OUTPUT, photoURI); - startActivityForResult(takePictureIntent, TAKE_PHOTO_REQUEST_CODE); - Log.i(TAG, "startActivityForResult finished"); - } - } - - } - - private File createImageFile() throws IOException { - // Create an image file name - String timeStamp = new SimpleDateFormat("yyyyMMdd_HHmmss").format(new Date()); - String imageFileName = "JPEG_" + timeStamp + "_"; - File storageDir = getExternalFilesDir(Environment.DIRECTORY_PICTURES); - File image = File.createTempFile( - imageFileName, /* prefix */ - ".bmp", /* suffix */ - storageDir /* directory */ - ); - - return image; - } - - @Override - protected void onActivityResult(int requestCode, int resultCode, Intent data) { - super.onActivityResult(requestCode, resultCode, data); - if (resultCode == RESULT_OK) { - switch (requestCode) { - case OPEN_GALLERY_REQUEST_CODE: - if (data == null) { - break; - } - try { - ContentResolver resolver = getContentResolver(); - Uri uri = data.getData(); - Bitmap image = MediaStore.Images.Media.getBitmap(resolver, uri); - String[] proj = {MediaStore.Images.Media.DATA}; - Cursor cursor = managedQuery(uri, proj, null, null, null); - cursor.moveToFirst(); - onImageChanged(image); - } catch (IOException e) { - Log.e(TAG, e.toString()); - } - break; - case TAKE_PHOTO_REQUEST_CODE: - if (currentPhotoPath != null) { - ExifInterface exif = null; - try { - exif = new ExifInterface(currentPhotoPath); - } catch (IOException e) { - e.printStackTrace(); - } - int orientation = exif.getAttributeInt(ExifInterface.TAG_ORIENTATION, - ExifInterface.ORIENTATION_UNDEFINED); - Log.i(TAG, "rotation " + orientation); - Bitmap image = BitmapFactory.decodeFile(currentPhotoPath); - image = Utils.rotateBitmap(image, orientation); - onImageChanged(image); - } else { - Log.e(TAG, "currentPhotoPath is null"); - } - break; - default: - break; - } - } - } - - @Override - protected void onDestroy() { - if (predictor != null) { - predictor.releaseModel(); - } - worker.quit(); - super.onDestroy(); - } -} diff --git a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/MiniActivity.java b/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/MiniActivity.java deleted file mode 100644 index d5608911..00000000 --- a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/MiniActivity.java +++ /dev/null @@ -1,157 +0,0 @@ -package com.baidu.paddle.lite.demo.ocr; - -import android.graphics.Bitmap; -import android.graphics.BitmapFactory; -import android.os.Build; -import android.os.Bundle; -import android.os.Handler; -import android.os.HandlerThread; -import android.os.Message; -import android.util.Log; -import android.view.View; -import android.widget.Button; -import android.widget.ImageView; -import android.widget.TextView; -import android.widget.Toast; - -import androidx.appcompat.app.AppCompatActivity; - -import java.io.IOException; -import java.io.InputStream; - -public class MiniActivity extends AppCompatActivity { - - - public static final int REQUEST_LOAD_MODEL = 0; - public static final int REQUEST_RUN_MODEL = 1; - public static final int REQUEST_UNLOAD_MODEL = 2; - public static final int RESPONSE_LOAD_MODEL_SUCCESSED = 0; - public static final int RESPONSE_LOAD_MODEL_FAILED = 1; - public static final int RESPONSE_RUN_MODEL_SUCCESSED = 2; - public static final int RESPONSE_RUN_MODEL_FAILED = 3; - - private static final String TAG = "MiniActivity"; - - protected Handler receiver = null; // Receive messages from worker thread - protected Handler sender = null; // Send command to worker thread - protected HandlerThread worker = null; // Worker thread to load&run model - protected volatile Predictor predictor = null; - - private String assetModelDirPath = "models/ocr_v1_for_cpu"; - private String assetlabelFilePath = "labels/ppocr_keys_v1.txt"; - - private Button button; - private ImageView imageView; // image result - private TextView textView; // text result - - @Override - protected void onCreate(Bundle savedInstanceState) { - super.onCreate(savedInstanceState); - setContentView(R.layout.activity_mini); - - Log.i(TAG, "SHOW in Logcat"); - - // Prepare the worker thread for mode loading and inference - worker = new HandlerThread("Predictor Worker"); - worker.start(); - sender = new Handler(worker.getLooper()) { - public void handleMessage(Message msg) { - switch (msg.what) { - case REQUEST_LOAD_MODEL: - // Load model and reload test image - if (!onLoadModel()) { - runOnUiThread(new Runnable() { - @Override - public void run() { - Toast.makeText(MiniActivity.this, "Load model failed!", Toast.LENGTH_SHORT).show(); - } - }); - } - break; - case REQUEST_RUN_MODEL: - // Run model if model is loaded - final boolean isSuccessed = onRunModel(); - runOnUiThread(new Runnable() { - @Override - public void run() { - if (isSuccessed){ - onRunModelSuccessed(); - }else{ - Toast.makeText(MiniActivity.this, "Run model failed!", Toast.LENGTH_SHORT).show(); - } - } - }); - break; - } - } - }; - sender.sendEmptyMessage(REQUEST_LOAD_MODEL); // corresponding to REQUEST_LOAD_MODEL， to call onLoadModel() - - imageView = findViewById(R.id.imageView); - textView = findViewById(R.id.sample_text); - button = findViewById(R.id.button); - button.setOnClickListener(new View.OnClickListener() { - @Override - public void onClick(View v) { - sender.sendEmptyMessage(REQUEST_RUN_MODEL); - } - }); - - - } - - @Override - protected void onDestroy() { - onUnloadModel(); - if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) { - worker.quitSafely(); - } else { - worker.quit(); - } - super.onDestroy(); - } - - /** - * call in onCreate, model init - * - * @return - */ - private boolean onLoadModel() { - if (predictor == null) { - predictor = new Predictor(); - } - return predictor.init(this, assetModelDirPath, assetlabelFilePath); - } - - /** - * init engine - * call in onCreate - * - * @return - */ - private boolean onRunModel() { - try { - String assetImagePath = "images/5.jpg"; - InputStream imageStream = getAssets().open(assetImagePath); - Bitmap image = BitmapFactory.decodeStream(imageStream); - // Input is Bitmap - predictor.setInputImage(image); - return predictor.isLoaded() && predictor.runModel(); - } catch (IOException e) { - e.printStackTrace(); - return false; - } - } - - private void onRunModelSuccessed() { - Log.i(TAG, "onRunModelSuccessed"); - textView.setText(predictor.outputResult); - imageView.setImageBitmap(predictor.outputImage); - } - - private void onUnloadModel() { - if (predictor != null) { - predictor.releaseModel(); - } - } -} diff --git a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/OCRPredictorNative.java b/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/OCRPredictorNative.java deleted file mode 100644 index 2e78a3ec..00000000 --- a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/OCRPredictorNative.java +++ /dev/null @@ -1,100 +0,0 @@ -package com.baidu.paddle.lite.demo.ocr; - -import android.graphics.Bitmap; -import android.util.Log; - -import java.util.ArrayList; -import java.util.concurrent.atomic.AtomicBoolean; - -public class OCRPredictorNative { - - private static final AtomicBoolean isSOLoaded = new AtomicBoolean(); - - public static void loadLibrary() throws RuntimeException { - if (!isSOLoaded.get() && isSOLoaded.compareAndSet(false, true)) { - try { - System.loadLibrary("Native"); - } catch (Throwable e) { - RuntimeException exception = new RuntimeException( - "Load libNative.so failed, please check it exists in apk file.", e); - throw exception; - } - } - } - - private Config config; - - private long nativePointer = 0; - - public OCRPredictorNative(Config config) { - this.config = config; - loadLibrary(); - nativePointer = init(config.detModelFilename, config.recModelFilename, - config.cpuThreadNum, config.cpuPower); - Log.i("OCRPredictorNative", "load success " + nativePointer); - - } - - public void release() { - if (nativePointer != 0) { - nativePointer = 0; - destory(nativePointer); - } - } - - public ArrayList runImage(float[] inputData, int width, int height, int channels, Bitmap originalImage) { - Log.i("OCRPredictorNative", "begin to run image " + inputData.length + " " + width + " " + height); - float[] dims = new float[]{1, channels, height, width}; - float[] rawResults = forward(nativePointer, inputData, dims, originalImage); - ArrayList results = postprocess(rawResults); - return results; - } - - public static class Config { - public int cpuThreadNum; - public String cpuPower; - public String detModelFilename; - public String recModelFilename; - - } - - protected native long init(String detModelPath, String recModelPath, int threadNum, String cpuMode); - - protected native float[] forward(long pointer, float[] buf, float[] ddims, Bitmap originalImage); - - protected native void destory(long pointer); - - private ArrayList postprocess(float[] raw) { - ArrayList results = new ArrayList(); - int begin = 0; - - while (begin < raw.length) { - int point_num = Math.round(raw[begin]); - int word_num = Math.round(raw[begin + 1]); - OcrResultModel model = parse(raw, begin + 2, point_num, word_num); - begin += 2 + 1 + point_num * 2 + word_num; - results.add(model); - } - - return results; - } - - private OcrResultModel parse(float[] raw, int begin, int pointNum, int wordNum) { - int current = begin; - OcrResultModel model = new OcrResultModel(); - model.setConfidence(raw[current]); - current++; - for (int i = 0; i < pointNum; i++) { - model.addPoints(Math.round(raw[current + i * 2]), Math.round(raw[current + i * 2 + 1])); - } - current += (pointNum * 2); - for (int i = 0; i < wordNum; i++) { - int index = Math.round(raw[current + i]); - model.addWordIndex(index); - } - Log.i("OCRPredictorNative", "word finished " + wordNum); - return model; - } - - -} diff --git a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/OcrResultModel.java b/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/OcrResultModel.java deleted file mode 100644 index 9494574e..00000000 --- a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/OcrResultModel.java +++ /dev/null @@ -1,52 +0,0 @@ -package com.baidu.paddle.lite.demo.ocr; - -import android.graphics.Point; - -import java.util.ArrayList; -import java.util.List; - -public class OcrResultModel { - private List points; - private List wordIndex; - private String label; - private float confidence; - - public OcrResultModel() { - super(); - points = new ArrayList<>(); - wordIndex = new ArrayList<>(); - } - - public void addPoints(int x, int y) { - Point point = new Point(x, y); - points.add(point); - } - - public void addWordIndex(int index) { - wordIndex.add(index); - } - - public List getPoints() { - return points; - } - - public List getWordIndex() { - return wordIndex; - } - - public String getLabel() { - return label; - } - - public void setLabel(String label) { - this.label = label; - } - - public float getConfidence() { - return confidence; - } - - public void setConfidence(float confidence) { - this.confidence = confidence; - } -} diff --git a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Predictor.java b/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Predictor.java deleted file mode 100644 index 078bba28..00000000 --- a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Predictor.java +++ /dev/null @@ -1,355 +0,0 @@ -package com.baidu.paddle.lite.demo.ocr; - -import android.content.Context; -import android.graphics.Bitmap; -import android.graphics.Canvas; -import android.graphics.Color; -import android.graphics.Paint; -import android.graphics.Path; -import android.graphics.Point; -import android.util.Log; - -import java.io.File; -import java.io.InputStream; -import java.util.ArrayList; -import java.util.Date; -import java.util.List; -import java.util.Vector; - -import static android.graphics.Color.*; - -public class Predictor { - private static final String TAG = Predictor.class.getSimpleName(); - public boolean isLoaded = false; - public int warmupIterNum = 1; - public int inferIterNum = 1; - public int cpuThreadNum = 4; - public String cpuPowerMode = "LITE_POWER_HIGH"; - public String modelPath = ""; - public String modelName = ""; - protected OCRPredictorNative paddlePredictor = null; - protected float inferenceTime = 0; - // Only for object detection - protected Vector wordLabels = new Vector(); - protected String inputColorFormat = "BGR"; - protected long[] inputShape = new long[]{1, 3, 960}; - protected float[] inputMean = new float[]{0.485f, 0.456f, 0.406f}; - protected float[] inputStd = new float[]{1.0f / 0.229f, 1.0f / 0.224f, 1.0f / 0.225f}; - protected float scoreThreshold = 0.1f; - protected Bitmap inputImage = null; - protected Bitmap outputImage = null; - protected volatile String outputResult = ""; - protected float preprocessTime = 0; - protected float postprocessTime = 0; - - - public Predictor() { - } - - public boolean init(Context appCtx, String modelPath, String labelPath) { - isLoaded = loadModel(appCtx, modelPath, cpuThreadNum, cpuPowerMode); - if (!isLoaded) { - return false; - } - isLoaded = loadLabel(appCtx, labelPath); - return isLoaded; - } - - - public boolean init(Context appCtx, String modelPath, String labelPath, int cpuThreadNum, String cpuPowerMode, - String inputColorFormat, - long[] inputShape, float[] inputMean, - float[] inputStd, float scoreThreshold) { - if (inputShape.length != 3) { - Log.e(TAG, "Size of input shape should be: 3"); - return false; - } - if (inputMean.length != inputShape[1]) { - Log.e(TAG, "Size of input mean should be: " + Long.toString(inputShape[1])); - return false; - } - if (inputStd.length != inputShape[1]) { - Log.e(TAG, "Size of input std should be: " + Long.toString(inputShape[1])); - return false; - } - if (inputShape[0] != 1) { - Log.e(TAG, "Only one batch is supported in the image classification demo, you can use any batch size in " + - "your Apps!"); - return false; - } - if (inputShape[1] != 1 && inputShape[1] != 3) { - Log.e(TAG, "Only one/three channels are supported in the image classification demo, you can use any " + - "channel size in your Apps!"); - return false; - } - if (!inputColorFormat.equalsIgnoreCase("BGR")) { - Log.e(TAG, "Only BGR color format is supported."); - return false; - } - boolean isLoaded = init(appCtx, modelPath, labelPath); - if (!isLoaded) { - return false; - } - this.inputColorFormat = inputColorFormat; - this.inputShape = inputShape; - this.inputMean = inputMean; - this.inputStd = inputStd; - this.scoreThreshold = scoreThreshold; - return true; - } - - protected boolean loadModel(Context appCtx, String modelPath, int cpuThreadNum, String cpuPowerMode) { - // Release model if exists - releaseModel(); - - // Load model - if (modelPath.isEmpty()) { - return false; - } - String realPath = modelPath; - if (!modelPath.substring(0, 1).equals("/")) { - // Read model files from custom path if the first character of mode path is '/' - // otherwise copy model to cache from assets - realPath = appCtx.getCacheDir() + "/" + modelPath; - Utils.copyDirectoryFromAssets(appCtx, modelPath, realPath); - } - if (realPath.isEmpty()) { - return false; - } - - OCRPredictorNative.Config config = new OCRPredictorNative.Config(); - config.cpuThreadNum = cpuThreadNum; - config.detModelFilename = realPath + File.separator + "ch_det_mv3_db_opt.nb"; - config.recModelFilename = realPath + File.separator + "ch_rec_mv3_crnn_opt.nb"; - Log.e("Predictor", "model path" + config.detModelFilename + " ; " + config.recModelFilename); - config.cpuPower = cpuPowerMode; - paddlePredictor = new OCRPredictorNative(config); - - this.cpuThreadNum = cpuThreadNum; - this.cpuPowerMode = cpuPowerMode; - this.modelPath = realPath; - this.modelName = realPath.substring(realPath.lastIndexOf("/") + 1); - return true; - } - - public void releaseModel() { - if (paddlePredictor != null) { - paddlePredictor.release(); - paddlePredictor = null; - } - isLoaded = false; - cpuThreadNum = 1; - cpuPowerMode = "LITE_POWER_HIGH"; - modelPath = ""; - modelName = ""; - } - - protected boolean loadLabel(Context appCtx, String labelPath) { - wordLabels.clear(); - // Load word labels from file - try { - InputStream assetsInputStream = appCtx.getAssets().open(labelPath); - int available = assetsInputStream.available(); - byte[] lines = new byte[available]; - assetsInputStream.read(lines); - assetsInputStream.close(); - String words = new String(lines); - String[] contents = words.split("\n"); - for (String content : contents) { - wordLabels.add(content); - } - Log.i(TAG, "Word label size: " + wordLabels.size()); - } catch (Exception e) { - Log.e(TAG, e.getMessage()); - return false; - } - return true; - } - - - public boolean runModel() { - if (inputImage == null || !isLoaded()) { - return false; - } - - // Pre-process image, and feed input tensor with pre-processed data - - Bitmap scaleImage = Utils.resizeWithStep(inputImage, Long.valueOf(inputShape[2]).intValue(), 32); - - Date start = new Date(); - int channels = (int) inputShape[1]; - int width = scaleImage.getWidth(); - int height = scaleImage.getHeight(); - float[] inputData = new float[channels * width * height]; - if (channels == 3) { - int[] channelIdx = null; - if (inputColorFormat.equalsIgnoreCase("RGB")) { - channelIdx = new int[]{0, 1, 2}; - } else if (inputColorFormat.equalsIgnoreCase("BGR")) { - channelIdx = new int[]{2, 1, 0}; - } else { - Log.i(TAG, "Unknown color format " + inputColorFormat + ", only RGB and BGR color format is " + - "supported!"); - return false; - } - int[] channelStride = new int[]{width * height, width * height * 2}; - int p = scaleImage.getPixel(scaleImage.getWidth() - 1, scaleImage.getHeight() - 1); - for (int y = 0; y < height; y++) { - for (int x = 0; x < width; x++) { - int color = scaleImage.getPixel(x, y); - float[] rgb = new float[]{(float) red(color) / 255.0f, (float) green(color) / 255.0f, - (float) blue(color) / 255.0f}; - inputData[y * width + x] = (rgb[channelIdx[0]] - inputMean[0]) / inputStd[0]; - inputData[y * width + x + channelStride[0]] = (rgb[channelIdx[1]] - inputMean[1]) / inputStd[1]; - inputData[y * width + x + channelStride[1]] = (rgb[channelIdx[2]] - inputMean[2]) / inputStd[2]; - - } - } - } else if (channels == 1) { - for (int y = 0; y < height; y++) { - for (int x = 0; x < width; x++) { - int color = inputImage.getPixel(x, y); - float gray = (float) (red(color) + green(color) + blue(color)) / 3.0f / 255.0f; - inputData[y * width + x] = (gray - inputMean[0]) / inputStd[0]; - } - } - } else { - Log.i(TAG, "Unsupported channel size " + Integer.toString(channels) + ", only channel 1 and 3 is " + - "supported!"); - return false; - } - float[] pixels = inputData; - Log.i(TAG, "pixels " + pixels[0] + " " + pixels[1] + " " + pixels[2] + " " + pixels[3] - + " " + pixels[pixels.length / 2] + " " + pixels[pixels.length / 2 + 1] + " " + pixels[pixels.length - 2] + " " + pixels[pixels.length - 1]); - Date end = new Date(); - preprocessTime = (float) (end.getTime() - start.getTime()); - - // Warm up - for (int i = 0; i < warmupIterNum; i++) { - paddlePredictor.runImage(inputData, width, height, channels, inputImage); - } - warmupIterNum = 0; // do not need warm - // Run inference - start = new Date(); - ArrayList results = paddlePredictor.runImage(inputData, width, height, channels, inputImage); - end = new Date(); - inferenceTime = (end.getTime() - start.getTime()) / (float) inferIterNum; - - results = postprocess(results); - Log.i(TAG, "[stat] Preprocess Time: " + preprocessTime - + " ; Inference Time: " + inferenceTime + " ;Box Size " + results.size()); - drawResults(results); - - return true; - } - - - public boolean isLoaded() { - return paddlePredictor != null && isLoaded; - } - - public String modelPath() { - return modelPath; - } - - public String modelName() { - return modelName; - } - - public int cpuThreadNum() { - return cpuThreadNum; - } - - public String cpuPowerMode() { - return cpuPowerMode; - } - - public float inferenceTime() { - return inferenceTime; - } - - public Bitmap inputImage() { - return inputImage; - } - - public Bitmap outputImage() { - return outputImage; - } - - public String outputResult() { - return outputResult; - } - - public float preprocessTime() { - return preprocessTime; - } - - public float postprocessTime() { - return postprocessTime; - } - - - public void setInputImage(Bitmap image) { - if (image == null) { - return; - } - this.inputImage = image.copy(Bitmap.Config.ARGB_8888, true); - } - - private ArrayList postprocess(ArrayList results) { - for (OcrResultModel r : results) { - StringBuffer word = new StringBuffer(); - for (int index : r.getWordIndex()) { - if (index >= 0 && index < wordLabels.size()) { - word.append(wordLabels.get(index)); - } else { - Log.e(TAG, "Word index is not in label list:" + index); - word.append("×"); - } - } - r.setLabel(word.toString()); - } - return results; - } - - private void drawResults(ArrayList results) { - StringBuffer outputResultSb = new StringBuffer(""); - for (int i = 0; i < results.size(); i++) { - OcrResultModel result = results.get(i); - StringBuilder sb = new StringBuilder(""); - sb.append(result.getLabel()); - sb.append(" ").append(result.getConfidence()); - sb.append("; Points: "); - for (Point p : result.getPoints()) { - sb.append("(").append(p.x).append(",").append(p.y).append(") "); - } - Log.i(TAG, sb.toString()); // show LOG in Logcat panel - outputResultSb.append(i + 1).append(": ").append(result.getLabel()).append("\n"); - } - outputResult = outputResultSb.toString(); - outputImage = inputImage; - Canvas canvas = new Canvas(outputImage); - Paint paintFillAlpha = new Paint(); - paintFillAlpha.setStyle(Paint.Style.FILL); - paintFillAlpha.setColor(Color.parseColor("#3B85F5")); - paintFillAlpha.setAlpha(50); - - Paint paint = new Paint(); - paint.setColor(Color.parseColor("#3B85F5")); - paint.setStrokeWidth(5); - paint.setStyle(Paint.Style.STROKE); - - for (OcrResultModel result : results) { - Path path = new Path(); - List points = result.getPoints(); - path.moveTo(points.get(0).x, points.get(0).y); - for (int i = points.size() - 1; i >= 0; i--) { - Point p = points.get(i); - path.lineTo(p.x, p.y); - } - canvas.drawPath(path, paint); - canvas.drawPath(path, paintFillAlpha); - } - } - -} diff --git a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/SettingsActivity.java b/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/SettingsActivity.java deleted file mode 100644 index b3653ccc..00000000 --- a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/SettingsActivity.java +++ /dev/null @@ -1,201 +0,0 @@ -package com.baidu.paddle.lite.demo.ocr; - -import android.content.SharedPreferences; -import android.os.Bundle; -import android.preference.CheckBoxPreference; -import android.preference.EditTextPreference; -import android.preference.ListPreference; - -import androidx.appcompat.app.ActionBar; - -import java.util.ArrayList; -import java.util.List; - - -public class SettingsActivity extends AppCompatPreferenceActivity implements SharedPreferences.OnSharedPreferenceChangeListener { - ListPreference lpChoosePreInstalledModel = null; - CheckBoxPreference cbEnableCustomSettings = null; - EditTextPreference etModelPath = null; - EditTextPreference etLabelPath = null; - EditTextPreference etImagePath = null; - ListPreference lpCPUThreadNum = null; - ListPreference lpCPUPowerMode = null; - ListPreference lpInputColorFormat = null; - EditTextPreference etInputShape = null; - EditTextPreference etInputMean = null; - EditTextPreference etInputStd = null; - EditTextPreference etScoreThreshold = null; - - List preInstalledModelPaths = null; - List preInstalledLabelPaths = null; - List preInstalledImagePaths = null; - List preInstalledInputShapes = null; - List preInstalledCPUThreadNums = null; - List preInstalledCPUPowerModes = null; - List preInstalledInputColorFormats = null; - List preInstalledInputMeans = null; - List preInstalledInputStds = null; - List preInstalledScoreThresholds = null; - - @Override - public void onCreate(Bundle savedInstanceState) { - super.onCreate(savedInstanceState); - addPreferencesFromResource(R.xml.settings); - ActionBar supportActionBar = getSupportActionBar(); - if (supportActionBar != null) { - supportActionBar.setDisplayHomeAsUpEnabled(true); - } - - // Initialized pre-installed models - preInstalledModelPaths = new ArrayList(); - preInstalledLabelPaths = new ArrayList(); - preInstalledImagePaths = new ArrayList(); - preInstalledInputShapes = new ArrayList(); - preInstalledCPUThreadNums = new ArrayList(); - preInstalledCPUPowerModes = new ArrayList(); - preInstalledInputColorFormats = new ArrayList(); - preInstalledInputMeans = new ArrayList(); - preInstalledInputStds = new ArrayList(); - preInstalledScoreThresholds = new ArrayList(); - // Add ssd_mobilenet_v1_pascalvoc_for_cpu - preInstalledModelPaths.add(getString(R.string.MODEL_PATH_DEFAULT)); - preInstalledLabelPaths.add(getString(R.string.LABEL_PATH_DEFAULT)); - preInstalledImagePaths.add(getString(R.string.IMAGE_PATH_DEFAULT)); - preInstalledCPUThreadNums.add(getString(R.string.CPU_THREAD_NUM_DEFAULT)); - preInstalledCPUPowerModes.add(getString(R.string.CPU_POWER_MODE_DEFAULT)); - preInstalledInputColorFormats.add(getString(R.string.INPUT_COLOR_FORMAT_DEFAULT)); - preInstalledInputShapes.add(getString(R.string.INPUT_SHAPE_DEFAULT)); - preInstalledInputMeans.add(getString(R.string.INPUT_MEAN_DEFAULT)); - preInstalledInputStds.add(getString(R.string.INPUT_STD_DEFAULT)); - preInstalledScoreThresholds.add(getString(R.string.SCORE_THRESHOLD_DEFAULT)); - - // Setup UI components - lpChoosePreInstalledModel = - (ListPreference) findPreference(getString(R.string.CHOOSE_PRE_INSTALLED_MODEL_KEY)); - String[] preInstalledModelNames = new String[preInstalledModelPaths.size()]; - for (int i = 0; i < preInstalledModelPaths.size(); i++) { - preInstalledModelNames[i] = - preInstalledModelPaths.get(i).substring(preInstalledModelPaths.get(i).lastIndexOf("/") + 1); - } - lpChoosePreInstalledModel.setEntries(preInstalledModelNames); - lpChoosePreInstalledModel.setEntryValues(preInstalledModelPaths.toArray(new String[preInstalledModelPaths.size()])); - cbEnableCustomSettings = - (CheckBoxPreference) findPreference(getString(R.string.ENABLE_CUSTOM_SETTINGS_KEY)); - etModelPath = (EditTextPreference) findPreference(getString(R.string.MODEL_PATH_KEY)); - etModelPath.setTitle("Model Path (SDCard: " + Utils.getSDCardDirectory() + ")"); - etLabelPath = (EditTextPreference) findPreference(getString(R.string.LABEL_PATH_KEY)); - etImagePath = (EditTextPreference) findPreference(getString(R.string.IMAGE_PATH_KEY)); - lpCPUThreadNum = - (ListPreference) findPreference(getString(R.string.CPU_THREAD_NUM_KEY)); - lpCPUPowerMode = - (ListPreference) findPreference(getString(R.string.CPU_POWER_MODE_KEY)); - lpInputColorFormat = - (ListPreference) findPreference(getString(R.string.INPUT_COLOR_FORMAT_KEY)); - etInputShape = (EditTextPreference) findPreference(getString(R.string.INPUT_SHAPE_KEY)); - etInputMean = (EditTextPreference) findPreference(getString(R.string.INPUT_MEAN_KEY)); - etInputStd = (EditTextPreference) findPreference(getString(R.string.INPUT_STD_KEY)); - etScoreThreshold = (EditTextPreference) findPreference(getString(R.string.SCORE_THRESHOLD_KEY)); - } - - private void reloadPreferenceAndUpdateUI() { - SharedPreferences sharedPreferences = getPreferenceScreen().getSharedPreferences(); - boolean enableCustomSettings = - sharedPreferences.getBoolean(getString(R.string.ENABLE_CUSTOM_SETTINGS_KEY), false); - String modelPath = sharedPreferences.getString(getString(R.string.CHOOSE_PRE_INSTALLED_MODEL_KEY), - getString(R.string.MODEL_PATH_DEFAULT)); - int modelIdx = lpChoosePreInstalledModel.findIndexOfValue(modelPath); - if (modelIdx >= 0 && modelIdx < preInstalledModelPaths.size()) { - if (!enableCustomSettings) { - SharedPreferences.Editor editor = sharedPreferences.edit(); - editor.putString(getString(R.string.MODEL_PATH_KEY), preInstalledModelPaths.get(modelIdx)); - editor.putString(getString(R.string.LABEL_PATH_KEY), preInstalledLabelPaths.get(modelIdx)); - editor.putString(getString(R.string.IMAGE_PATH_KEY), preInstalledImagePaths.get(modelIdx)); - editor.putString(getString(R.string.CPU_THREAD_NUM_KEY), preInstalledCPUThreadNums.get(modelIdx)); - editor.putString(getString(R.string.CPU_POWER_MODE_KEY), preInstalledCPUPowerModes.get(modelIdx)); - editor.putString(getString(R.string.INPUT_COLOR_FORMAT_KEY), - preInstalledInputColorFormats.get(modelIdx)); - editor.putString(getString(R.string.INPUT_SHAPE_KEY), preInstalledInputShapes.get(modelIdx)); - editor.putString(getString(R.string.INPUT_MEAN_KEY), preInstalledInputMeans.get(modelIdx)); - editor.putString(getString(R.string.INPUT_STD_KEY), preInstalledInputStds.get(modelIdx)); - editor.putString(getString(R.string.SCORE_THRESHOLD_KEY), - preInstalledScoreThresholds.get(modelIdx)); - editor.commit(); - } - lpChoosePreInstalledModel.setSummary(modelPath); - } - cbEnableCustomSettings.setChecked(enableCustomSettings); - etModelPath.setEnabled(enableCustomSettings); - etLabelPath.setEnabled(enableCustomSettings); - etImagePath.setEnabled(enableCustomSettings); - lpCPUThreadNum.setEnabled(enableCustomSettings); - lpCPUPowerMode.setEnabled(enableCustomSettings); - lpInputColorFormat.setEnabled(enableCustomSettings); - etInputShape.setEnabled(enableCustomSettings); - etInputMean.setEnabled(enableCustomSettings); - etInputStd.setEnabled(enableCustomSettings); - etScoreThreshold.setEnabled(enableCustomSettings); - modelPath = sharedPreferences.getString(getString(R.string.MODEL_PATH_KEY), - getString(R.string.MODEL_PATH_DEFAULT)); - String labelPath = sharedPreferences.getString(getString(R.string.LABEL_PATH_KEY), - getString(R.string.LABEL_PATH_DEFAULT)); - String imagePath = sharedPreferences.getString(getString(R.string.IMAGE_PATH_KEY), - getString(R.string.IMAGE_PATH_DEFAULT)); - String cpuThreadNum = sharedPreferences.getString(getString(R.string.CPU_THREAD_NUM_KEY), - getString(R.string.CPU_THREAD_NUM_DEFAULT)); - String cpuPowerMode = sharedPreferences.getString(getString(R.string.CPU_POWER_MODE_KEY), - getString(R.string.CPU_POWER_MODE_DEFAULT)); - String inputColorFormat = sharedPreferences.getString(getString(R.string.INPUT_COLOR_FORMAT_KEY), - getString(R.string.INPUT_COLOR_FORMAT_DEFAULT)); - String inputShape = sharedPreferences.getString(getString(R.string.INPUT_SHAPE_KEY), - getString(R.string.INPUT_SHAPE_DEFAULT)); - String inputMean = sharedPreferences.getString(getString(R.string.INPUT_MEAN_KEY), - getString(R.string.INPUT_MEAN_DEFAULT)); - String inputStd = sharedPreferences.getString(getString(R.string.INPUT_STD_KEY), - getString(R.string.INPUT_STD_DEFAULT)); - String scoreThreshold = sharedPreferences.getString(getString(R.string.SCORE_THRESHOLD_KEY), - getString(R.string.SCORE_THRESHOLD_DEFAULT)); - etModelPath.setSummary(modelPath); - etModelPath.setText(modelPath); - etLabelPath.setSummary(labelPath); - etLabelPath.setText(labelPath); - etImagePath.setSummary(imagePath); - etImagePath.setText(imagePath); - lpCPUThreadNum.setValue(cpuThreadNum); - lpCPUThreadNum.setSummary(cpuThreadNum); - lpCPUPowerMode.setValue(cpuPowerMode); - lpCPUPowerMode.setSummary(cpuPowerMode); - lpInputColorFormat.setValue(inputColorFormat); - lpInputColorFormat.setSummary(inputColorFormat); - etInputShape.setSummary(inputShape); - etInputShape.setText(inputShape); - etInputMean.setSummary(inputMean); - etInputMean.setText(inputMean); - etInputStd.setSummary(inputStd); - etInputStd.setText(inputStd); - etScoreThreshold.setText(scoreThreshold); - etScoreThreshold.setSummary(scoreThreshold); - } - - @Override - protected void onResume() { - super.onResume(); - getPreferenceScreen().getSharedPreferences().registerOnSharedPreferenceChangeListener(this); - reloadPreferenceAndUpdateUI(); - } - - @Override - protected void onPause() { - super.onPause(); - getPreferenceScreen().getSharedPreferences().unregisterOnSharedPreferenceChangeListener(this); - } - - @Override - public void onSharedPreferenceChanged(SharedPreferences sharedPreferences, String key) { - if (key.equals(getString(R.string.CHOOSE_PRE_INSTALLED_MODEL_KEY))) { - SharedPreferences.Editor editor = sharedPreferences.edit(); - editor.putBoolean(getString(R.string.ENABLE_CUSTOM_SETTINGS_KEY), false); - editor.commit(); - } - reloadPreferenceAndUpdateUI(); - } -} diff --git a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Utils.java b/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Utils.java deleted file mode 100644 index ef468057..00000000 --- a/deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Utils.java +++ /dev/null @@ -1,159 +0,0 @@ -package com.baidu.paddle.lite.demo.ocr; - -import android.content.Context; -import android.graphics.Bitmap; -import android.graphics.Matrix; -import android.media.ExifInterface; -import android.os.Environment; - -import java.io.*; - -public class Utils { - private static final String TAG = Utils.class.getSimpleName(); - - public static void copyFileFromAssets(Context appCtx, String srcPath, String dstPath) { - if (srcPath.isEmpty() || dstPath.isEmpty()) { - return; - } - InputStream is = null; - OutputStream os = null; - try { - is = new BufferedInputStream(appCtx.getAssets().open(srcPath)); - os = new BufferedOutputStream(new FileOutputStream(new File(dstPath))); - byte[] buffer = new byte[1024]; - int length = 0; - while ((length = is.read(buffer)) != -1) { - os.write(buffer, 0, length); - } - } catch (FileNotFoundException e) { - e.printStackTrace(); - } catch (IOException e) { - e.printStackTrace(); - } finally { - try { - os.close(); - is.close(); - } catch (IOException e) { - e.printStackTrace(); - } - } - } - - public static void copyDirectoryFromAssets(Context appCtx, String srcDir, String dstDir) { - if (srcDir.isEmpty() || dstDir.isEmpty()) { - return; - } - try { - if (!new File(dstDir).exists()) { - new File(dstDir).mkdirs(); - } - for (String fileName : appCtx.getAssets().list(srcDir)) { - String srcSubPath = srcDir + File.separator + fileName; - String dstSubPath = dstDir + File.separator + fileName; - if (new File(srcSubPath).isDirectory()) { - copyDirectoryFromAssets(appCtx, srcSubPath, dstSubPath); - } else { - copyFileFromAssets(appCtx, srcSubPath, dstSubPath); - } - } - } catch (Exception e) { - e.printStackTrace(); - } - } - - public static float[] parseFloatsFromString(String string, String delimiter) { - String[] pieces = string.trim().toLowerCase().split(delimiter); - float[] floats = new float[pieces.length]; - for (int i = 0; i < pieces.length; i++) { - floats[i] = Float.parseFloat(pieces[i].trim()); - } - return floats; - } - - public static long[] parseLongsFromString(String string, String delimiter) { - String[] pieces = string.trim().toLowerCase().split(delimiter); - long[] longs = new long[pieces.length]; - for (int i = 0; i < pieces.length; i++) { - longs[i] = Long.parseLong(pieces[i].trim()); - } - return longs; - } - - public static String getSDCardDirectory() { - return Environment.getExternalStorageDirectory().getAbsolutePath(); - } - - public static boolean isSupportedNPU() { - return false; - // String hardware = android.os.Build.HARDWARE; - // return hardware.equalsIgnoreCase("kirin810") || hardware.equalsIgnoreCase("kirin990"); - } - - public static Bitmap resizeWithStep(Bitmap bitmap, int maxLength, int step) { - int width = bitmap.getWidth(); - int height = bitmap.getHeight(); - int maxWH = Math.max(width, height); - float ratio = 1; - int newWidth = width; - int newHeight = height; - if (maxWH > maxLength) { - ratio = maxLength * 1.0f / maxWH; - newWidth = (int) Math.floor(ratio * width); - newHeight = (int) Math.floor(ratio * height); - } - - newWidth = newWidth - newWidth % step; - if (newWidth == 0) { - newWidth = step; - } - newHeight = newHeight - newHeight % step; - if (newHeight == 0) { - newHeight = step; - } - return Bitmap.createScaledBitmap(bitmap, newWidth, newHeight, true); - } - - public static Bitmap rotateBitmap(Bitmap bitmap, int orientation) { - - Matrix matrix = new Matrix(); - switch (orientation) { - case ExifInterface.ORIENTATION_NORMAL: - return bitmap; - case ExifInterface.ORIENTATION_FLIP_HORIZONTAL: - matrix.setScale(-1, 1); - break; - case ExifInterface.ORIENTATION_ROTATE_180: - matrix.setRotate(180); - break; - case ExifInterface.ORIENTATION_FLIP_VERTICAL: - matrix.setRotate(180); - matrix.postScale(-1, 1); - break; - case ExifInterface.ORIENTATION_TRANSPOSE: - matrix.setRotate(90); - matrix.postScale(-1, 1); - break; - case ExifInterface.ORIENTATION_ROTATE_90: - matrix.setRotate(90); - break; - case ExifInterface.ORIENTATION_TRANSVERSE: - matrix.setRotate(-90); - matrix.postScale(-1, 1); - break; - case ExifInterface.ORIENTATION_ROTATE_270: - matrix.setRotate(-90); - break; - default: - return bitmap; - } - try { - Bitmap bmRotated = Bitmap.createBitmap(bitmap, 0, 0, bitmap.getWidth(), bitmap.getHeight(), matrix, true); - bitmap.recycle(); - return bmRotated; - } - catch (OutOfMemoryError e) { - e.printStackTrace(); - return null; - } - } -} diff --git a/deploy/android_demo/app/src/main/res/drawable-v24/ic_launcher_foreground.xml b/deploy/android_demo/app/src/main/res/drawable-v24/ic_launcher_foreground.xml deleted file mode 100644 index 1f6bb290..00000000 --- a/deploy/android_demo/app/src/main/res/drawable-v24/ic_launcher_foreground.xml +++ /dev/null @@ -1,34 +0,0 @@ - - - - - - - - - - - diff --git a/deploy/android_demo/app/src/main/res/drawable/ic_launcher_background.xml b/deploy/android_demo/app/src/main/res/drawable/ic_launcher_background.xml deleted file mode 100644 index 0d025f9b..00000000 --- a/deploy/android_demo/app/src/main/res/drawable/ic_launcher_background.xml +++ /dev/null @@ -1,170 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/deploy/android_demo/app/src/main/res/layout/activity_main.xml b/deploy/android_demo/app/src/main/res/layout/activity_main.xml deleted file mode 100644 index adc70e20..00000000 --- a/deploy/android_demo/app/src/main/res/layout/activity_main.xml +++ /dev/null @@ -1,99 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/deploy/android_demo/app/src/main/res/layout/activity_mini.xml b/deploy/android_demo/app/src/main/res/layout/activity_mini.xml deleted file mode 100644 index ec4622ae..00000000 --- a/deploy/android_demo/app/src/main/res/layout/activity_mini.xml +++ /dev/null @@ -1,46 +0,0 @@ - - - - - - - - -