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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,6 +1,7 @@ | ||
| Global: | ||
| use_gpu: true | ||
| use_xpu: false | ||
| use_mlu: false | ||
| epoch_num: 1200 | ||
| log_smooth_window: 20 | ||
| print_batch_step: 10 | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,133 @@ | ||
| Global: | ||
| use_gpu: true | ||
| epoch_num: 1200 | ||
| log_smooth_window: 20 | ||
| print_batch_step: 5 | ||
| save_model_dir: ./output/det_r50_drrg_ctw/ | ||
| save_epoch_step: 100 | ||
| # evaluation is run every 1260 iterations | ||
| eval_batch_step: [37800, 1260] | ||
| cal_metric_during_train: False | ||
| pretrained_model: ./pretrain_models/ResNet50_vd_ssld_pretrained.pdparams | ||
| checkpoints: | ||
| save_inference_dir: | ||
| use_visualdl: False | ||
| infer_img: doc/imgs_en/img_10.jpg | ||
| save_res_path: ./output/det_drrg/predicts_drrg.txt | ||
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| Architecture: | ||
| model_type: det | ||
| algorithm: DRRG | ||
| Transform: | ||
| Backbone: | ||
| name: ResNet_vd | ||
| layers: 50 | ||
| Neck: | ||
| name: FPN_UNet | ||
| in_channels: [256, 512, 1024, 2048] | ||
| out_channels: 32 | ||
| Head: | ||
| name: DRRGHead | ||
| in_channels: 32 | ||
| text_region_thr: 0.3 | ||
| center_region_thr: 0.4 | ||
| Loss: | ||
| name: DRRGLoss | ||
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| Optimizer: | ||
| name: Momentum | ||
| momentum: 0.9 | ||
| lr: | ||
| name: DecayLearningRate | ||
| learning_rate: 0.028 | ||
| epochs: 1200 | ||
| factor: 0.9 | ||
| end_lr: 0.0000001 | ||
| weight_decay: 0.0001 | ||
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| PostProcess: | ||
| name: DRRGPostprocess | ||
| link_thr: 0.8 | ||
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| Metric: | ||
| name: DetFCEMetric | ||
| main_indicator: hmean | ||
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| Train: | ||
| dataset: | ||
| name: SimpleDataSet | ||
| data_dir: ./train_data/ctw1500/imgs/ | ||
| label_file_list: | ||
| - ./train_data/ctw1500/imgs/training.txt | ||
| transforms: | ||
| - DecodeImage: # load image | ||
| img_mode: BGR | ||
| channel_first: False | ||
| ignore_orientation: True | ||
| - DetLabelEncode: # Class handling label | ||
| - ColorJitter: | ||
| brightness: 0.12549019607843137 | ||
| saturation: 0.5 | ||
| - RandomScaling: | ||
| - RandomCropFlip: | ||
| crop_ratio: 0.5 | ||
| - RandomCropPolyInstances: | ||
| crop_ratio: 0.8 | ||
| min_side_ratio: 0.3 | ||
| - RandomRotatePolyInstances: | ||
| rotate_ratio: 0.5 | ||
| max_angle: 60 | ||
| pad_with_fixed_color: False | ||
| - SquareResizePad: | ||
| target_size: 800 | ||
| pad_ratio: 0.6 | ||
| - IaaAugment: | ||
| augmenter_args: | ||
| - { 'type': Fliplr, 'args': { 'p': 0.5 } } | ||
| - DRRGTargets: | ||
| - NormalizeImage: | ||
| scale: 1./255. | ||
| mean: [0.485, 0.456, 0.406] | ||
| std: [0.229, 0.224, 0.225] | ||
| order: 'hwc' | ||
| - ToCHWImage: | ||
| - KeepKeys: | ||
| keep_keys: ['image', 'gt_text_mask', 'gt_center_region_mask', 'gt_mask', | ||
| 'gt_top_height_map', 'gt_bot_height_map', 'gt_sin_map', | ||
| 'gt_cos_map', 'gt_comp_attribs'] # dataloader will return list in this order | ||
| loader: | ||
| shuffle: True | ||
| drop_last: False | ||
| batch_size_per_card: 4 | ||
| num_workers: 8 | ||
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| Eval: | ||
| dataset: | ||
| name: SimpleDataSet | ||
| data_dir: ./train_data/ctw1500/imgs/ | ||
| label_file_list: | ||
| - ./train_data/ctw1500/imgs/test.txt | ||
| transforms: | ||
| - DecodeImage: # load image | ||
| img_mode: BGR | ||
| channel_first: False | ||
| ignore_orientation: True | ||
| - DetLabelEncode: # Class handling label | ||
| - DetResizeForTest: | ||
| limit_type: 'min' | ||
| limit_side_len: 640 | ||
| - NormalizeImage: | ||
| scale: 1./255. | ||
| mean: [0.485, 0.456, 0.406] | ||
| std: [0.229, 0.224, 0.225] | ||
| order: 'hwc' | ||
| - Pad: | ||
| - ToCHWImage: | ||
| - KeepKeys: | ||
| keep_keys: ['image', 'shape', 'polys', 'ignore_tags'] | ||
| loader: | ||
| shuffle: False | ||
| drop_last: False | ||
| batch_size_per_card: 1 # must be 1 | ||
| num_workers: 2 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,122 @@ | ||
| Global: | ||
| use_gpu: True | ||
| epoch_num: 240 | ||
| log_smooth_window: 20 | ||
| print_batch_step: 10 | ||
| save_model_dir: ./output/rec/can/ | ||
| save_epoch_step: 1 | ||
| # evaluation is run every 1105 iterations (1 epoch)(batch_size = 8) | ||
| eval_batch_step: [0, 1105] | ||
| cal_metric_during_train: True | ||
| pretrained_model: | ||
| checkpoints: | ||
| save_inference_dir: | ||
| use_visualdl: False | ||
| infer_img: doc/datasets/crohme_demo/hme_00.jpg | ||
| # for data or label process | ||
| character_dict_path: ppocr/utils/dict/latex_symbol_dict.txt | ||
| max_text_length: 36 | ||
| infer_mode: False | ||
| use_space_char: False | ||
| save_res_path: ./output/rec/predicts_can.txt | ||
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| Optimizer: | ||
| name: Momentum | ||
| momentum: 0.9 | ||
| clip_norm_global: 100.0 | ||
| lr: | ||
| name: TwoStepCosine | ||
| learning_rate: 0.01 | ||
| warmup_epoch: 1 | ||
| weight_decay: 0.0001 | ||
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| Architecture: | ||
| model_type: rec | ||
| algorithm: CAN | ||
| in_channels: 1 | ||
| Transform: | ||
| Backbone: | ||
| name: DenseNet | ||
| growthRate: 24 | ||
| reduction: 0.5 | ||
| bottleneck: True | ||
| use_dropout: True | ||
| input_channel: 1 | ||
| Head: | ||
| name: CANHead | ||
| in_channel: 684 | ||
| out_channel: 111 | ||
| max_text_length: 36 | ||
| ratio: 16 | ||
| attdecoder: | ||
| is_train: True | ||
| input_size: 256 | ||
| hidden_size: 256 | ||
| encoder_out_channel: 684 | ||
| dropout: True | ||
| dropout_ratio: 0.5 | ||
| word_num: 111 | ||
| counting_decoder_out_channel: 111 | ||
| attention: | ||
| attention_dim: 512 | ||
| word_conv_kernel: 1 | ||
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| Loss: | ||
| name: CANLoss | ||
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| PostProcess: | ||
| name: CANLabelDecode | ||
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| Metric: | ||
| name: CANMetric | ||
| main_indicator: exp_rate | ||
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| Train: | ||
| dataset: | ||
| name: SimpleDataSet | ||
| data_dir: ./train_data/CROHME/training/images/ | ||
| label_file_list: ["./train_data/CROHME/training/labels.txt"] | ||
| transforms: | ||
| - DecodeImage: | ||
| channel_first: False | ||
| - NormalizeImage: | ||
| mean: [0,0,0] | ||
| std: [1,1,1] | ||
| order: 'hwc' | ||
| - GrayImageChannelFormat: | ||
| inverse: True | ||
| - CANLabelEncode: | ||
| lower: False | ||
| - KeepKeys: | ||
| keep_keys: ['image', 'label'] | ||
| loader: | ||
| shuffle: True | ||
| batch_size_per_card: 8 | ||
| drop_last: False | ||
| num_workers: 4 | ||
| collate_fn: DyMaskCollator | ||
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| Eval: | ||
| dataset: | ||
| name: SimpleDataSet | ||
| data_dir: ./train_data/CROHME/evaluation/images/ | ||
| label_file_list: ["./train_data/CROHME/evaluation/labels.txt"] | ||
| transforms: | ||
| - DecodeImage: | ||
| channel_first: False | ||
| - NormalizeImage: | ||
| mean: [0,0,0] | ||
| std: [1,1,1] | ||
| order: 'hwc' | ||
| - GrayImageChannelFormat: | ||
| inverse: True | ||
| - CANLabelEncode: | ||
| lower: False | ||
| - KeepKeys: | ||
| keep_keys: ['image', 'label'] | ||
| loader: | ||
| shuffle: False | ||
| drop_last: False | ||
| batch_size_per_card: 1 | ||
| num_workers: 4 | ||
| collate_fn: DyMaskCollator |
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