Global: debug: false use_gpu: true epoch_num: 1000 log_smooth_window: 20 print_batch_step: 10 save_model_dir: ./output/det_r50_icdar15/ save_epoch_step: 200 eval_batch_step: - 0 - 2000 cal_metric_during_train: false pretrained_model: ./pretrain_models/ResNet50_dcn_asf_synthtext_pretrained checkpoints: null save_inference_dir: null use_visualdl: false infer_img: doc/imgs_en/img_10.jpg save_res_path: ./checkpoints/det_db/predicts_db.txt Architecture: model_type: det algorithm: DB Transform: null Backbone: name: ResNet layers: 50 dcn_stage: [False, True, True, True] Neck: name: DBFPN out_channels: 256 use_asf: True Head: name: DBHead k: 50 Loss: name: DBLoss balance_loss: true main_loss_type: BCELoss alpha: 5 beta: 10 ohem_ratio: 3 Optimizer: name: Momentum momentum: 0.9 lr: name: DecayLearningRate learning_rate: 0.007 epochs: 1000 factor: 0.9 end_lr: 0 weight_decay: 0.0001 PostProcess: name: DBPostProcess thresh: 0.3 box_thresh: 0.6 max_candidates: 1000 unclip_ratio: 1.5 Metric: name: DetMetric main_indicator: hmean Train: dataset: name: SimpleDataSet data_dir: ./train_data/icdar2015/text_localization/ label_file_list: - ./train_data/icdar2015/text_localization/train_icdar2015_label.txt ratio_list: - 1.0 transforms: - DecodeImage: img_mode: BGR channel_first: false - DetLabelEncode: 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: 10 keep_ratio: true - MakeShrinkMap: shrink_ratio: 0.4 min_text_size: 8 - MakeBorderMap: shrink_ratio: 0.4 thresh_min: 0.3 thresh_max: 0.7 - NormalizeImage: scale: 1./255. mean: - 0.48109378172549 - 0.45752457890196 - 0.40787054090196 std: - 1.0 - 1.0 - 1.0 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: 4 num_workers: 8 Eval: dataset: name: SimpleDataSet data_dir: ./train_data/icdar2015/text_localization label_file_list: - ./train_data/icdar2015/text_localization/test_icdar2015_label.txt transforms: - DecodeImage: img_mode: BGR channel_first: false - DetLabelEncode: null - DetResizeForTest: image_shape: - 1152 - 2048 - NormalizeImage: scale: 1./255. mean: - 0.48109378172549 - 0.45752457890196 - 0.40787054090196 std: - 1.0 - 1.0 - 1.0 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