Merge pull request #1113 from LDOUBLEV/fixocr
TestReader.infer_img to Global.infer_img
This commit is contained in:
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ad7f65f70a
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@ -15,7 +15,6 @@ EvalReader:
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TestReader:
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reader_function: ppocr.data.det.dataset_traversal,EvalTestReader
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process_function: ppocr.data.det.db_process,DBProcessTest
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infer_img:
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img_set_dir: ./train_data/icdar2015/text_localization/
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label_file_path: ./train_data/icdar2015/text_localization/test_icdar2015_label.txt
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do_eval: True
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@ -17,7 +17,6 @@ EvalReader:
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TestReader:
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reader_function: ppocr.data.det.dataset_traversal,EvalTestReader
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process_function: ppocr.data.det.east_process,EASTProcessTest
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infer_img:
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img_set_dir: ./train_data/icdar2015/text_localization/
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label_file_path: ./train_data/icdar2015/text_localization/test_icdar2015_label.txt
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do_eval: True
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@ -16,6 +16,7 @@ Global:
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checkpoints:
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save_res_path: ./output/det_db/predicts_db.txt
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save_inference_dir:
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infer_img:
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Architecture:
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function: ppocr.modeling.architectures.det_model,DetModel
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@ -16,6 +16,7 @@ Global:
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checkpoints:
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save_res_path: ./output/det_db/predicts_db.txt
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save_inference_dir:
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infer_img:
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Architecture:
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function: ppocr.modeling.architectures.det_model,DetModel
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@ -15,6 +15,7 @@ Global:
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checkpoints:
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save_res_path: ./output/det_east/predicts_east.txt
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save_inference_dir:
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infer_img:
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Architecture:
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function: ppocr.modeling.architectures.det_model,DetModel
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@ -15,6 +15,7 @@ Global:
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save_res_path: ./output/det_r18_vd_db/predicts_db.txt
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checkpoints:
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save_inference_dir:
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infer_img:
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Architecture:
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function: ppocr.modeling.architectures.det_model,DetModel
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@ -15,6 +15,7 @@ Global:
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save_res_path: ./output/det_db/predicts_db.txt
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checkpoints:
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save_inference_dir:
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infer_img:
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Architecture:
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function: ppocr.modeling.architectures.det_model,DetModel
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@ -15,6 +15,7 @@ Global:
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save_res_path: ./output/det_east/predicts_east.txt
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checkpoints:
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save_inference_dir:
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infer_img:
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Architecture:
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function: ppocr.modeling.architectures.det_model,DetModel
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@ -15,6 +15,7 @@ Global:
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save_res_path: ./output/det_sast/predicts_sast.txt
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checkpoints:
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save_inference_dir:
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infer_img:
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Architecture:
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function: ppocr.modeling.architectures.det_model,DetModel
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@ -15,6 +15,7 @@ Global:
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save_res_path: ./output/det_sast/predicts_sast.txt
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checkpoints:
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save_inference_dir:
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infer_img:
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Architecture:
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function: ppocr.modeling.architectures.det_model,DetModel
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@ -20,5 +20,4 @@ EvalReader:
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TestReader:
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reader_function: ppocr.data.det.dataset_traversal,EvalTestReader
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process_function: ppocr.data.det.sast_process,SASTProcessTest
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infer_img: ./train_data/icdar2015/text_localization/ch4_test_images/img_11.jpg
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max_side_len: 1536
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@ -20,5 +20,4 @@ EvalReader:
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TestReader:
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reader_function: ppocr.data.det.dataset_traversal,EvalTestReader
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process_function: ppocr.data.det.sast_process,SASTProcessTest
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infer_img: ./train_data/afs/total_text/Images/Test/img623.jpg
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max_side_len: 768
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@ -119,16 +119,16 @@ python3 tools/eval.py -c configs/det/det_mv3_db_v1.1.yml -o Global.checkpoints=
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测试单张图像的检测效果
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```shell
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o TestReader.infer_img="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy"
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o Global.infer_img="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy"
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```
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测试DB模型时,调整后处理阈值,
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```shell
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o TestReader.infer_img="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy" PostProcess.box_thresh=0.6 PostProcess.unclip_ratio=1.5
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o Global.infer_img="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy" PostProcess.box_thresh=0.6 PostProcess.unclip_ratio=1.5
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```
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测试文件夹下所有图像的检测效果
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```shell
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o TestReader.infer_img="./doc/imgs_en/" Global.checkpoints="./output/det_db/best_accuracy"
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o Global.infer_img="./doc/imgs_en/" Global.checkpoints="./output/det_db/best_accuracy"
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```
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@ -110,16 +110,16 @@ python3 tools/eval.py -c configs/det/det_mv3_db_v1.1.yml -o Global.checkpoints=
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Test the detection result on a single image:
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```shell
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o TestReader.infer_img="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy"
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o Global.infer_img="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy"
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```
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When testing the DB model, adjust the post-processing threshold:
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```shell
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o TestReader.infer_img="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy" PostProcess.box_thresh=0.6 PostProcess.unclip_ratio=1.5
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o Global.infer_img="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy" PostProcess.box_thresh=0.6 PostProcess.unclip_ratio=1.5
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```
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Test the detection result on all images in the folder:
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```shell
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o TestReader.infer_img="./doc/imgs_en/" Global.checkpoints="./output/det_db/best_accuracy"
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python3 tools/infer_det.py -c configs/det/det_mv3_db_v1.1.yml -o Global.infer_img="./doc/imgs_en/" Global.checkpoints="./output/det_db/best_accuracy"
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```
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@ -294,7 +294,7 @@ The default prediction picture is stored in `infer_img`, and the weight is speci
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```
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# Predict English results
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python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml -o Global.checkpoints={path/to/weights}/best_accuracy TestReader.infer_img=doc/imgs_words/en/word_1.jpg
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python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml -o Global.checkpoints={path/to/weights}/best_accuracy Global.infer_img=doc/imgs_words/en/word_1.jpg
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```
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Input image:
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@ -313,7 +313,7 @@ The configuration file used for prediction must be consistent with the training.
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```
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# Predict Chinese results
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python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml -o Global.checkpoints={path/to/weights}/best_accuracy TestReader.infer_img=doc/imgs_words/ch/word_1.jpg
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python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml -o Global.checkpoints={path/to/weights}/best_accuracy Global.infer_img=doc/imgs_words/ch/word_1.jpg
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```
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Input image:
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@ -104,8 +104,8 @@ def main():
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save_res_path = config['Global']['save_res_path']
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if not os.path.exists(os.path.dirname(save_res_path)):
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os.makedirs(os.path.dirname(save_res_path))
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with open(save_res_path, "wb") as fout:
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with open(save_res_path, "wb") as fout:
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test_reader = reader_main(config=config, mode='test')
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tackling_num = 0
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for data in test_reader():
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@ -135,9 +135,15 @@ def main():
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elif config['Global']['algorithm'] == 'DB':
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dic = {'maps': outs[0]}
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elif config['Global']['algorithm'] == 'SAST':
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dic = {'f_score': outs[0], 'f_border': outs[1], 'f_tvo': outs[2], 'f_tco': outs[3]}
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dic = {
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'f_score': outs[0],
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'f_border': outs[1],
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'f_tvo': outs[2],
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'f_tco': outs[3]
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}
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else:
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raise Exception("only support algorithm: ['EAST', 'DB', 'SAST']")
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raise Exception(
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"only support algorithm: ['EAST', 'DB', 'SAST']")
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dt_boxes_list = postprocess(dic, ratio_list)
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for ino in range(img_num):
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dt_boxes = dt_boxes_list[ino]
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@ -121,7 +121,10 @@ def merge_config(config):
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global_config.keys(), sub_keys[0])
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cur = global_config[sub_keys[0]]
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for idx, sub_key in enumerate(sub_keys[1:]):
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assert (sub_key in cur)
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assert (
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sub_key in cur
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), "key {} not in sub_keys: {}, please check your running command.".format(
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sub_key, cur)
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if idx == len(sub_keys) - 2:
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cur[sub_key] = value
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else:
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