Merge branch 'dygraph' into dy3

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Evezerest 2020-12-18 19:38:43 +08:00 committed by GitHub
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12 changed files with 44 additions and 20 deletions

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@ -69,12 +69,14 @@ fusion_generator:
1. You can run `tools/synth_image` and generate the demo image, which is saved in the current folder.
```python
python3 -m tools.synth_image -c configs/config.yml --style_image examples/style_images/2.jpg --text_corpus PaddleOCR --language en
python3 tools/synth_image.py -c configs/config.yml --style_image examples/style_images/2.jpg --text_corpus PaddleOCR --language en
```
* Note 1: The language options is correspond to the corpus. Currently, the tool only supports English, Simplified Chinese and Korean.
* Note 2: Synth-Text is mainly used to generate images for OCR recognition models.
So the height of style images should be around 32 pixels. Images in other sizes may behave poorly.
* Note 3: You can modify `use_gpu` in `configs/config.yml` to determine whether to use GPU for prediction.
For example, enter the following image and corpus `PaddleOCR`.
@ -139,8 +141,9 @@ We provide a general dataset containing Chinese, English and Korean (50,000 imag
2. You can run the following command to start synthesis task:
``` bash
python -m tools.synth_dataset.py -c configs/dataset_config.yml
python3 tools/synth_dataset.py -c configs/dataset_config.yml
```
We also provide example corpus and images in `examples` folder.
<div align="center">
<img src="examples/style_images/1.jpg" width="300">

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@ -61,11 +61,12 @@ fusion_generator:
输入一张风格图和一段文字语料运行tools/synth_image合成单张图片结果图像保存在当前目录下
```python
python3 -m tools.synth_image -c configs/config.yml --style_image examples/style_images/2.jpg --text_corpus PaddleOCR --language en
python3 tools/synth_image.py -c configs/config.yml --style_image examples/style_images/2.jpg --text_corpus PaddleOCR --language en
```
* 注1语言选项和语料相对应目前该工具只支持英文、简体中文和韩语。
* 注2Style-Text生成的数据主要应用于OCR识别场景。基于当前PaddleOCR识别模型的设计我们主要支持高度在32左右的风格图像。
如果输入图像尺寸相差过多,效果可能不佳。
* 注3可以通过修改配置文件中的`use_gpu`(true或者false)参数来决定是否使用GPU进行预测。
例如,输入如下图片和语料"PaddleOCR":
@ -127,7 +128,7 @@ python3 -m tools.synth_image -c configs/config.yml --style_image examples/style_
2. 运行`tools/synth_dataset`合成数据:
``` bash
python -m tools.synth_dataset -c configs/dataset_config.yml
python tools/synth_dataset.py -c configs/dataset_config.yml
```
我们在examples目录下提供了样例图片和语料。
<div align="center">

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@ -28,6 +28,7 @@ class StyleTextRecPredictor(object):
], "Generator {} not supported.".format(algorithm)
use_gpu = config["Global"]['use_gpu']
check_gpu(use_gpu)
paddle.set_device('gpu' if use_gpu else 'cpu')
self.logger = get_logger()
self.generator = getattr(style_text_rec, algorithm)(config)
self.height = config["Global"]["image_height"]

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@ -11,6 +11,14 @@
# 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.
import os
import sys
__dir__ = os.path.dirname(os.path.abspath(__file__))
sys.path.append(__dir__)
sys.path.append(os.path.abspath(os.path.join(__dir__, '..')))
from engine.synthesisers import DatasetSynthesiser

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@ -16,13 +16,13 @@ import cv2
import sys
import glob
from utils.config import ArgsParser
from engine.synthesisers import ImageSynthesiser
__dir__ = os.path.dirname(os.path.abspath(__file__))
sys.path.append(__dir__)
sys.path.append(os.path.abspath(os.path.join(__dir__, '..')))
from utils.config import ArgsParser
from engine.synthesisers import ImageSynthesiser
def synth_image():
args = ArgsParser().parse_args()

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@ -107,10 +107,10 @@ make inference_lib_dist
For more compilation parameter options, please refer to the official website of the Paddle C++ inference library:[https://www.paddlepaddle.org.cn/documentation/docs/en/advanced_guide/inference_deployment/inference/build_and_install_lib_en.html](https://www.paddlepaddle.org.cn/documentation/docs/en/advanced_guide/inference_deployment/inference/build_and_install_lib_en.html).
* After the compilation process, you can see the following files in the folder of `build/fluid_inference_install_dir/`.
* After the compilation process, you can see the following files in the folder of `build/paddle_inference_install_dir/`.
```
build/fluid_inference_install_dir/
build/paddle_inference_install_dir/
|-- CMakeCache.txt
|-- paddle
|-- third_party

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@ -81,14 +81,14 @@ void ResizeImgType0::Run(const cv::Mat &img, cv::Mat &resize_img,
else if (resize_h / 32 < 1 + 1e-5)
resize_h = 32;
else
resize_h = (resize_h / 32 - 1) * 32;
resize_h = (resize_h / 32) * 32;
if (resize_w % 32 == 0)
resize_w = resize_w;
else if (resize_w / 32 < 1 + 1e-5)
resize_w = 32;
else
resize_w = (resize_w / 32 - 1) * 32;
resize_w = (resize_w / 32) * 32;
cv::resize(img, resize_img, cv::Size(resize_w, resize_h));

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@ -11,7 +11,7 @@ max_side_len 960
det_db_thresh 0.3
det_db_box_thresh 0.5
det_db_unclip_ratio 2.0
det_model_dir ./inference/ch__ppocr_mobile_v2.0_det_infer/
det_model_dir ./inference/ch_ppocr_mobile_v2.0_det_infer/
# cls config
use_angle_cls 0

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@ -262,8 +262,8 @@ class PaddleOCR(predict_system.TextSystem):
logger.error('rec_algorithm must in {}'.format(SUPPORT_REC_MODEL))
sys.exit(0)
postprocess_params.rec_char_dict_path = Path(
__file__).parent / postprocess_params.rec_char_dict_path
postprocess_params.rec_char_dict_path = str(
Path(__file__).parent / postprocess_params.rec_char_dict_path)
# init det_model and rec_model
super().__init__(postprocess_params)

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@ -32,7 +32,7 @@ setup(
package_dir={'paddleocr': ''},
include_package_data=True,
entry_points={"console_scripts": ["paddleocr= paddleocr.paddleocr:main"]},
version='2.0.1',
version='2.0.2',
install_requires=requirements,
license='Apache License 2.0',
description='Awesome OCR toolkits based on PaddlePaddle 8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices',

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@ -35,6 +35,7 @@ logger = get_logger()
class TextDetector(object):
def __init__(self, args):
self.args = args
self.det_algorithm = args.det_algorithm
self.use_zero_copy_run = args.use_zero_copy_run
pre_process_list = [{
@ -70,6 +71,9 @@ class TextDetector(object):
postprocess_params["cover_thresh"] = args.det_east_cover_thresh
postprocess_params["nms_thresh"] = args.det_east_nms_thresh
elif self.det_algorithm == "SAST":
pre_process_list[0] = {
'DetResizeForTest': {'resize_long': args.det_limit_side_len}
}
postprocess_params['name'] = 'SASTPostProcess'
postprocess_params["score_thresh"] = args.det_sast_score_thresh
postprocess_params["nms_thresh"] = args.det_sast_nms_thresh

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@ -33,6 +33,8 @@ def parse_args():
parser.add_argument("--use_gpu", type=str2bool, default=True)
parser.add_argument("--ir_optim", type=str2bool, default=True)
parser.add_argument("--use_tensorrt", type=str2bool, default=False)
parser.add_argument("--use_fp16", type=str2bool, default=False)
parser.add_argument("--max_batch_size", type=int, default=10)
parser.add_argument("--gpu_mem", type=int, default=8000)
# params for text detector
@ -46,7 +48,7 @@ def parse_args():
parser.add_argument("--det_db_thresh", type=float, default=0.3)
parser.add_argument("--det_db_box_thresh", type=float, default=0.5)
parser.add_argument("--det_db_unclip_ratio", type=float, default=1.6)
parser.add_argument("--max_batch_size", type=int, default=10)
# EAST parmas
parser.add_argument("--det_east_score_thresh", type=float, default=0.8)
parser.add_argument("--det_east_cover_thresh", type=float, default=0.1)
@ -62,7 +64,7 @@ def parse_args():
parser.add_argument("--rec_model_dir", type=str)
parser.add_argument("--rec_image_shape", type=str, default="3, 32, 320")
parser.add_argument("--rec_char_type", type=str, default='ch')
parser.add_argument("--rec_batch_num", type=int, default=6)
parser.add_argument("--rec_batch_num", type=int, default=1)
parser.add_argument("--max_text_length", type=int, default=25)
parser.add_argument(
"--rec_char_dict_path",
@ -78,7 +80,7 @@ def parse_args():
parser.add_argument("--cls_model_dir", type=str)
parser.add_argument("--cls_image_shape", type=str, default="3, 48, 192")
parser.add_argument("--label_list", type=list, default=['0', '180'])
parser.add_argument("--cls_batch_num", type=int, default=30)
parser.add_argument("--cls_batch_num", type=int, default=6)
parser.add_argument("--cls_thresh", type=float, default=0.9)
parser.add_argument("--enable_mkldnn", type=str2bool, default=False)
@ -113,6 +115,11 @@ def create_predictor(args, mode, logger):
if args.use_gpu:
config.enable_use_gpu(args.gpu_mem, 0)
if args.use_tensorrt:
config.enable_tensorrt_engine(
precision_mode=AnalysisConfig.Precision.Half
if args.use_fp16 else AnalysisConfig.Precision.Float32,
max_batch_size=args.max_batch_size)
else:
config.disable_gpu()
config.set_cpu_math_library_num_threads(6)