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@ -185,11 +185,11 @@ python3 -m paddle.distributed.launch --gpus '0,1,2,3' tools/train.py -c configs
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<a name="数据增强"></a>
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#### 2.1 数据增强
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PaddleOCR提供了多种数据增强方式,如果您希望在训练时加入扰动,请在配置文件中设置 `distort: true`。
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PaddleOCR提供了多种数据增强方式,默认配置文件中已经添加了数据增广。
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默认的扰动方式有:颜色空间转换(cvtColor)、模糊(blur)、抖动(jitter)、噪声(Gasuss noise)、随机切割(random crop)、透视(perspective)、颜色反转(reverse)。
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默认的扰动方式有:颜色空间转换(cvtColor)、模糊(blur)、抖动(jitter)、噪声(Gasuss noise)、随机切割(random crop)、透视(perspective)、颜色反转(reverse)、TIA数据增广。
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训练过程中每种扰动方式以50%的概率被选择,具体代码实现请参考:[img_tools.py](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/ppocr/data/rec/img_tools.py)
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训练过程中每种扰动方式以40%的概率被选择,具体代码实现请参考:[rec_img_aug.py](../../ppocr/data/imaug/rec_img_aug.py)
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*由于OpenCV的兼容性问题,扰动操作暂时只支持Linux*
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@ -177,11 +177,11 @@ python3 -m paddle.distributed.launch --gpus '0,1,2,3' tools/train.py -c configs
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<a name="Data_Augmentation"></a>
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#### 2.1 Data Augmentation
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PaddleOCR provides a variety of data augmentation methods. If you want to add disturbance during training, please set `distort: true` in the configuration file.
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PaddleOCR provides a variety of data augmentation methods. All the augmentation methods are enabled by default.
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The default perturbation methods are: cvtColor, blur, jitter, Gasuss noise, random crop, perspective, color reverse.
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The default perturbation methods are: cvtColor, blur, jitter, Gasuss noise, random crop, perspective, color reverse, TIA augmentation.
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Each disturbance method is selected with a 50% probability during the training process. For specific code implementation, please refer to: [img_tools.py](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/ppocr/data/rec/img_tools.py)
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Each disturbance method is selected with a 40% probability during the training process. For specific code implementation, please refer to: [rec_img_aug.py](../../ppocr/data/imaug/rec_img_aug.py)
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<a name="Training"></a>
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#### 2.2 Training
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@ -49,14 +49,12 @@ def term_mp(sig_num, frame):
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os.killpg(pgid, signal.SIGKILL)
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signal.signal(signal.SIGINT, term_mp)
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signal.signal(signal.SIGTERM, term_mp)
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def build_dataloader(config, mode, device, logger, seed=None):
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config = copy.deepcopy(config)
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support_dict = ['SimpleDataSet', 'LMDBDataSet', 'PGDataSet', 'PubTabDataSet']
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support_dict = [
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'SimpleDataSet', 'LMDBDataSet', 'PGDataSet', 'PubTabDataSet'
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]
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module_name = config[mode]['dataset']['name']
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assert module_name in support_dict, Exception(
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'DataSet only support {}'.format(support_dict))
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@ -96,4 +94,8 @@ def build_dataloader(config, mode, device, logger, seed=None):
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return_list=True,
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use_shared_memory=use_shared_memory)
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# support exit using ctrl+c
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signal.signal(signal.SIGINT, term_mp)
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signal.signal(signal.SIGTERM, term_mp)
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return data_loader
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