Global: device: gpu epoch_num: &epoch_num 500 log_smooth_window: 20 print_batch_step: 100 output_dir: ./output/det_repsvtr_db save_epoch_step: [400, 25] eval_batch_step: - 0 - 1000 cal_metric_during_train: false checkpoints: pretrained_model: openocr_det_repvit_ch.pth save_inference_dir: null use_tensorboard: false infer_img: save_res_path: ./checkpoints/det_db/predicts_db.txt distributed: true model_type: det Architecture: algorithm: DB_mobile Backbone: name: RepSVTR_det Neck: name: RSEFPN out_channels: 96 shortcut: True Head: name: DBHead k: 50 Loss: name: DBLoss balance_loss: true main_loss_type: DiceLoss alpha: 5 beta: 10 ohem_ratio: 3 Optimizer: name: Adam lr: 0.001 weight_decay: 5.0e-05 filter_bias_and_bn: False LRScheduler: name: CosineAnnealingLR warmup_epoch: 2 PostProcess: name: DBPostProcess thresh: 0.3 box_thresh: 0.6 max_candidates: 1000 unclip_ratio: 1.5 score_mode: 'slow' Metric: name: DetMetric main_indicator: hmean Train: dataset: name: SimpleDataSet data_dir: ../icdar2015/text_localization/ label_file_list: - ../icdar2015/text_localization/train_icdar2015_label.txt ratio_list: [1.0] transforms: - DecodeImage: img_mode: BGR channel_first: false - DetLabelEncode: null - CopyPaste: null - IaaAugment: augmenter_args: - type: Fliplr args: p: 0.5 - type: Affine args: rotate: - -10 - 10 - type: Resize args: size: - 0.5 - 3 - EastRandomCropData: size: - 640 - 640 max_tries: 50 keep_ratio: true - MakeBorderMap: shrink_ratio: 0.4 thresh_min: 0.3 thresh_max: 0.7 total_epoch: *epoch_num - MakeShrinkMap: shrink_ratio: 0.4 min_text_size: 8 total_epoch: *epoch_num - NormalizeImage: scale: 1./255. mean: - 0.485 - 0.456 - 0.406 std: - 0.229 - 0.224 - 0.225 order: hwc - ToCHWImage: null - KeepKeys: keep_keys: - image - threshold_map - threshold_mask - shrink_map - shrink_mask loader: shuffle: true drop_last: false batch_size_per_card: 8 num_workers: 8 Eval: dataset: name: SimpleDataSet data_dir: ../icdar2015/text_localization/ label_file_list: - ../icdar2015/text_localization/test_icdar2015_label.txt transforms: - DecodeImage: img_mode: BGR channel_first: false - DetLabelEncode: null - DetResizeForTest: # image_shape: [1280, 1280] # keep_ratio: True # padding: True limit_side_len: 960 limit_type: max - NormalizeImage: scale: 1./255. mean: - 0.485 - 0.456 - 0.406 std: - 0.229 - 0.224 - 0.225 order: hwc - ToCHWImage: null - KeepKeys: keep_keys: - image - shape - polys - ignore_tags loader: shuffle: false drop_last: false batch_size_per_card: 1 num_workers: 2 profiler_options: null