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add dbnet yaml for synthtext dataset and td500 dataset #257
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,156 @@ | ||
| system: | ||
| mode: 0 # 0 for graph mode, 1 for pynative mode in MindSpore | ||
| distribute: False | ||
| amp_level: 'O0' | ||
| seed: 42 | ||
| log_interval: 10 | ||
| val_while_train: True | ||
| drop_overflow_update: False | ||
| val_interval: 5 | ||
|
|
||
| model: | ||
| type: det | ||
| transform: null | ||
| backbone: | ||
| name: det_resnet50 | ||
| pretrained: True | ||
| neck: | ||
| name: DBFPN | ||
| out_channels: 256 | ||
| bias: False | ||
| head: | ||
| name: DBHead | ||
| k: 50 | ||
| bias: False | ||
| adaptive: True | ||
| pretrained: https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50_synthtext-40655acb.ckpt | ||
|
|
||
| postprocess: | ||
| name: DBPostprocess | ||
| output_polygon: False # whether to output a polygon or a box | ||
| binary_thresh: 0.3 # binarization threshold | ||
| box_thresh: 0.6 # box score threshold | ||
| max_candidates: 1000 | ||
| expand_ratio: 1.5 # coefficient for expanding predictions | ||
|
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| metric: | ||
| name: DetMetric | ||
| main_indicator: f-score | ||
|
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| loss: | ||
| name: L1BalancedCELoss | ||
| eps: 1.0e-6 | ||
| l1_scale: 10 | ||
| bce_scale: 5 | ||
| bce_replace: bceloss | ||
|
|
||
| scheduler: | ||
| scheduler: polynomial_decay | ||
| lr: 0.007 | ||
| num_epochs: 1200 | ||
| decay_rate: 0.9 | ||
| warmup_epochs: 3 | ||
|
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| optimizer: | ||
| opt: SGD | ||
| filter_bias_and_bn: false | ||
| momentum: 0.9 | ||
| weight_decay: 1.0e-4 | ||
|
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||
| # only used for mixed precision training | ||
| loss_scaler: | ||
| type: dynamic | ||
| loss_scale: 512 | ||
| scale_factor: 2 | ||
| scale_window: 1000 | ||
|
|
||
| train: | ||
| ckpt_save_dir: './tmp_det' | ||
| dataset_sink_mode: True | ||
| dataset: | ||
| type: DetDataset | ||
| dataset_root: /data/ocr_datasets | ||
| data_dir: TD500_TR400/data | ||
| label_file: TD500_TR400/data/train_gt_all_labels.txt | ||
| sample_ratio: 1.0 | ||
| transform_pipeline: | ||
| - DecodeImage: | ||
| img_mode: RGB | ||
| to_float32: False | ||
| - DetLabelEncode: | ||
| - RandomColorAdjust: | ||
| brightness: 0.1255 # 32.0 / 255 | ||
| saturation: 0.5 | ||
| - IaaAugment: | ||
| Fliplr: { p: 0.5 } | ||
| Affine: { rotate: [ -10, 10 ], p: 1.0 } | ||
| - RandomScale: | ||
| scale_range: [ 0.5, 3.0 ] | ||
| p: 1.0 | ||
| - RandomCropWithBBox: | ||
| max_tries: 10 | ||
| min_crop_ratio: 0.1 | ||
| crop_size: [ 640, 640 ] | ||
| p: 1.0 | ||
| - ValidatePolygons: | ||
| - ShrinkBinaryMap: | ||
| min_text_size: 8 | ||
| shrink_ratio: 0.4 | ||
| - BorderMap: | ||
| shrink_ratio: 0.4 | ||
| thresh_min: 0.3 | ||
| thresh_max: 0.7 | ||
| - NormalizeImage: | ||
| bgr_to_rgb: False | ||
| is_hwc: True | ||
| mean: imagenet | ||
| std: imagenet | ||
| - ToCHWImage: | ||
| # the order of the dataloader list, matching the network input and the input labels for the loss function, and optional data for debug/visualize | ||
| output_columns: [ 'image', 'binary_map', 'mask', 'thresh_map', 'thresh_mask' ] #'img_path'] | ||
| # output_columns: ['image'] # for debug op performance | ||
| net_input_column_index: [0] # input indices for network forward func in output_columns | ||
| label_column_index: [1, 2, 3, 4] # input indices marked as label | ||
|
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| loader: | ||
| shuffle: True | ||
| batch_size: 20 | ||
| drop_remainder: True | ||
| num_workers: 16 | ||
|
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| eval: | ||
| ckpt_load_path: tmp_det/best.ckpt | ||
| dataset_sink_mode: False | ||
| dataset: | ||
| type: DetDataset | ||
| dataset_root: /data/ocr_datasets | ||
| data_dir: TD500_TR400/data | ||
| label_file: TD500_TR400/data/test_gt_labels.txt | ||
| sample_ratio: 1.0 | ||
| transform_pipeline: | ||
| - DecodeImage: | ||
| img_mode: RGB | ||
| to_float32: False | ||
| - DetLabelEncode: | ||
| - GridResize: | ||
| factor: 32 | ||
| # GridResize already sets the evaluation size to [ 736, 1280 ]. | ||
| # Uncomment ScalePadImage block for other resolutions. | ||
| - ScalePadImage: | ||
| target_size: [ 736, 736 ] # h, w | ||
| - NormalizeImage: | ||
| bgr_to_rgb: False | ||
| is_hwc: True | ||
| mean: imagenet | ||
| std: imagenet | ||
| - ToCHWImage: | ||
| # the order of the dataloader list, matching the network input and the labels for evaluation | ||
| output_columns: [ 'image', 'polys', 'ignore_tags' ] | ||
| net_input_column_index: [0] # input indices for network forward func in output_columns | ||
| label_column_index: [1, 2] # input indices marked as label | ||
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| loader: | ||
| shuffle: False | ||
| batch_size: 1 # TODO: due to dynamic shape of polygons (num of boxes varies), BS has to be 1 | ||
| drop_remainder: False | ||
| num_workers: 2 |
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需要在model readme中补充synthtext和td500的data preparation.
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fixed