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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,111 @@ | ||
| Global: | ||
| debug: false | ||
| use_gpu: true | ||
| epoch_num: 800 | ||
| log_smooth_window: 20 | ||
| print_batch_step: 10 | ||
| save_model_dir: ./output/rec_mobile_pp-OCRv2 | ||
| save_epoch_step: 3 | ||
| eval_batch_step: [0, 2000] | ||
| cal_metric_during_train: true | ||
| pretrained_model: | ||
| checkpoints: | ||
| save_inference_dir: | ||
| use_visualdl: false | ||
| infer_img: doc/imgs_words/ch/word_1.jpg | ||
| character_dict_path: ppocr/utils/ppocr_keys_v1.txt | ||
| character_type: ch | ||
| max_text_length: 25 | ||
| infer_mode: false | ||
| use_space_char: true | ||
| distributed: true | ||
| save_res_path: ./output/rec/predicts_mobile_pp-OCRv2.txt | ||
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| Optimizer: | ||
| name: Adam | ||
| beta1: 0.9 | ||
| beta2: 0.999 | ||
| lr: | ||
| name: Piecewise | ||
| decay_epochs : [700, 800] | ||
| values : [0.001, 0.0001] | ||
| warmup_epoch: 5 | ||
| regularizer: | ||
| name: L2 | ||
| factor: 2.0e-05 | ||
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| Architecture: | ||
| model_type: rec | ||
| algorithm: CRNN | ||
| Transform: | ||
| Backbone: | ||
| name: MobileNetV1Enhance | ||
| scale: 0.5 | ||
| Neck: | ||
| name: SequenceEncoder | ||
| encoder_type: rnn | ||
| hidden_size: 64 | ||
| Head: | ||
| name: CTCHead | ||
| mid_channels: 96 | ||
| fc_decay: 0.00002 | ||
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| Loss: | ||
| name: CTCLoss | ||
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| PostProcess: | ||
| name: CTCLabelDecode | ||
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| Metric: | ||
| name: RecMetric | ||
| main_indicator: acc | ||
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| Train: | ||
| dataset: | ||
| name: SimpleDataSet | ||
| data_dir: ./train_data/ | ||
| label_file_list: | ||
| - ./train_data/train_list.txt | ||
| transforms: | ||
| - DecodeImage: | ||
| img_mode: BGR | ||
| channel_first: false | ||
| - RecAug: | ||
| - CTCLabelEncode: | ||
| - RecResizeImg: | ||
| image_shape: [3, 32, 320] | ||
| - KeepKeys: | ||
| keep_keys: | ||
| - image | ||
| - label | ||
| - length | ||
| loader: | ||
| shuffle: true | ||
| batch_size_per_card: 128 | ||
| drop_last: true | ||
| num_workers: 8 | ||
| Eval: | ||
| dataset: | ||
| name: SimpleDataSet | ||
| data_dir: ./train_data | ||
| label_file_list: | ||
| - ./train_data/val_list.txt | ||
| transforms: | ||
| - DecodeImage: | ||
| img_mode: BGR | ||
| channel_first: false | ||
| - CTCLabelEncode: | ||
| - RecResizeImg: | ||
| image_shape: [3, 32, 320] | ||
| - KeepKeys: | ||
| keep_keys: | ||
| - image | ||
| - label | ||
| - length | ||
| loader: | ||
| shuffle: false | ||
| drop_last: false | ||
| batch_size_per_card: 128 | ||
| num_workers: 8 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,99 @@ | ||
| Global: | ||
| use_gpu: true | ||
| epoch_num: 5 | ||
| log_smooth_window: 20 | ||
| print_batch_step: 20 | ||
| save_model_dir: ./sar_rec | ||
| save_epoch_step: 1 | ||
| # evaluation is run every 2000 iterations | ||
| eval_batch_step: [0, 2000] | ||
| cal_metric_during_train: True | ||
| pretrained_model: | ||
| checkpoints: | ||
| save_inference_dir: | ||
| use_visualdl: False | ||
| infer_img: | ||
| # for data or label process | ||
| character_dict_path: ppocr/utils/dict90.txt | ||
| character_type: EN_symbol | ||
| max_text_length: 30 | ||
| infer_mode: False | ||
| use_space_char: False | ||
| rm_symbol: True | ||
| save_res_path: ./output/rec/predicts_sar.txt | ||
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| Optimizer: | ||
| name: Adam | ||
| beta1: 0.9 | ||
| beta2: 0.999 | ||
| lr: | ||
| name: Piecewise | ||
| decay_epochs: [3, 4] | ||
| values: [0.001, 0.0001, 0.00001] | ||
| regularizer: | ||
| name: 'L2' | ||
| factor: 0 | ||
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| Architecture: | ||
| model_type: rec | ||
| algorithm: SAR | ||
| Transform: | ||
| Backbone: | ||
| name: ResNet31 | ||
| Head: | ||
| name: SARHead | ||
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| Loss: | ||
| name: SARLoss | ||
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| PostProcess: | ||
| name: SARLabelDecode | ||
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| Metric: | ||
| name: RecMetric | ||
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| Train: | ||
| dataset: | ||
| name: SimpleDataSet | ||
| label_file_list: ['./train_data/train_list.txt'] | ||
| data_dir: ./train_data/ | ||
| ratio_list: 1.0 | ||
| transforms: | ||
| - DecodeImage: # load image | ||
| img_mode: BGR | ||
| channel_first: False | ||
| - SARLabelEncode: # Class handling label | ||
| - SARRecResizeImg: | ||
| image_shape: [3, 48, 48, 160] # h:48 w:[48,160] | ||
| width_downsample_ratio: 0.25 | ||
| - KeepKeys: | ||
| keep_keys: ['image', 'label', 'valid_ratio'] # dataloader will return list in this order | ||
| loader: | ||
| shuffle: True | ||
| batch_size_per_card: 64 | ||
| drop_last: True | ||
| num_workers: 8 | ||
| use_shared_memory: False | ||
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| Eval: | ||
| dataset: | ||
| name: LMDBDataSet | ||
| data_dir: ./train_data/data_lmdb_release/evaluation/ | ||
| transforms: | ||
| - DecodeImage: # load image | ||
| img_mode: BGR | ||
| channel_first: False | ||
| - SARLabelEncode: # Class handling label | ||
| - SARRecResizeImg: | ||
| image_shape: [3, 48, 48, 160] | ||
| width_downsample_ratio: 0.25 | ||
| - KeepKeys: | ||
| keep_keys: ['image', 'label', 'valid_ratio'] # dataloader will return list in this order | ||
| loader: | ||
| shuffle: False | ||
| drop_last: False | ||
| batch_size_per_card: 64 | ||
| num_workers: 4 | ||
| use_shared_memory: False | ||
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