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164
configs/det/det_r50_db++_icdar15.yml
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164
configs/det/det_r50_db++_icdar15.yml
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Global:
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debug: false
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use_gpu: true
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epoch_num: 1000
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: ./output/det_r50_icdar15/
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save_epoch_step: 200
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eval_batch_step:
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- 0
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- 2000
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cal_metric_during_train: false
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pretrained_model: ./pretrain_models/ResNet50_dcn_asf_synthtext_pretrained
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checkpoints: null
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save_inference_dir: null
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use_visualdl: false
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infer_img: doc/imgs_en/img_10.jpg
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save_res_path: ./checkpoints/det_db/predicts_db.txt
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Architecture:
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model_type: det
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algorithm: DB++
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Transform: null
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Backbone:
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name: ResNet
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layers: 50
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dcn_stage: [False, True, True, True]
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Neck:
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name: DBFPN
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out_channels: 256
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use_asf: True
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Head:
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name: DBHead
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k: 50
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Loss:
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name: DBLoss
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balance_loss: true
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main_loss_type: BCELoss
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alpha: 5
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beta: 10
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ohem_ratio: 3
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Optimizer:
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name: Momentum
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momentum: 0.9
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lr:
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name: DecayLearningRate
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learning_rate: 0.007
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epochs: 1000
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factor: 0.9
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end_lr: 0
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weight_decay: 0.0001
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PostProcess:
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name: DBPostProcess
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thresh: 0.3
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box_thresh: 0.6
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max_candidates: 1000
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unclip_ratio: 1.5
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det_box_type: 'quad' # 'quad' or 'poly'
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Metric:
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name: DetMetric
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main_indicator: hmean
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Train:
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dataset:
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name: SimpleDataSet
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data_dir: ./train_data/icdar2015/text_localization/
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label_file_list:
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- ./train_data/icdar2015/text_localization/train_icdar2015_label.txt
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ratio_list:
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- 1.0
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transforms:
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- DecodeImage:
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img_mode: BGR
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channel_first: false
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- DetLabelEncode: null
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- IaaAugment:
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augmenter_args:
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- type: Fliplr
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args:
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p: 0.5
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- type: Affine
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args:
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rotate:
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- -10
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- 10
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- type: Resize
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args:
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size:
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- 0.5
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- 3
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- EastRandomCropData:
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size:
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- 640
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- 640
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max_tries: 10
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keep_ratio: true
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- MakeShrinkMap:
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shrink_ratio: 0.4
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min_text_size: 8
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- MakeBorderMap:
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shrink_ratio: 0.4
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thresh_min: 0.3
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thresh_max: 0.7
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- NormalizeImage:
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scale: 1./255.
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mean:
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- 0.48109378172549
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- 0.45752457890196
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- 0.40787054090196
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std:
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- 1.0
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- 1.0
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- 1.0
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order: hwc
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- ToCHWImage: null
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- KeepKeys:
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keep_keys:
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- image
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- threshold_map
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- threshold_mask
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- shrink_map
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- shrink_mask
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loader:
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shuffle: true
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drop_last: false
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batch_size_per_card: 4
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num_workers: 8
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Eval:
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dataset:
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name: SimpleDataSet
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data_dir: ./train_data/icdar2015/text_localization
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label_file_list:
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- ./train_data/icdar2015/text_localization/test_icdar2015_label.txt
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transforms:
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- DecodeImage:
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img_mode: BGR
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channel_first: false
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- DetLabelEncode: null
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- DetResizeForTest:
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image_shape:
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- 1152
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- 2048
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- NormalizeImage:
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scale: 1./255.
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mean:
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- 0.48109378172549
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- 0.45752457890196
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- 0.40787054090196
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std:
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- 1.0
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- 1.0
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- 1.0
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order: hwc
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- ToCHWImage: null
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- KeepKeys:
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keep_keys:
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- image
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- shape
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- polys
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- ignore_tags
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loader:
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shuffle: false
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drop_last: false
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batch_size_per_card: 1
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num_workers: 2
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profiler_options: null
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