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Diff for: config/icdar2015_resnet50_FPN_DBhead_polyLR.yaml

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name: DBNet
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base: ['config/icdar2015.yaml']
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arch:
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type: Model
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backbone:
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type: resnet50
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pretrained: true
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neck:
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type: FPN
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inner_channels: 256
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head:
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type: DBHead
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out_channels: 2
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k: 50
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post_processing:
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type: SegDetectorRepresenter
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args:
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thresh: 0.3
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box_thresh: 0.7
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max_candidates: 1000
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unclip_ratio: 1.5 # from paper
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metric:
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type: QuadMetric
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args:
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is_output_polygon: false
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loss:
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type: DBLoss
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alpha: 1
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beta: 10
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ohem_ratio: 3
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optimizer:
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type: Adam
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args:
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lr: 0.001
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weight_decay: 0
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amsgrad: true
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lr_scheduler:
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type: WarmupPolyLR
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args:
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warmup_epoch: 3
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trainer:
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seed: 2
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epochs: 1200
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log_iter: 10
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show_images_iter: 50
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resume_checkpoint: ''
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finetune_checkpoint: ''
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output_dir: output
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tensorboard: true
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dataset:
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train:
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dataset:
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args:
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data_path:
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- ./datasets/train.txt
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img_mode: RGB
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loader:
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batch_size: 16
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shuffle: true
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pin_memory: true
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num_workers: 6
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collate_fn: ''
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validate:
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dataset:
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args:
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data_path:
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- ./datasets/test.txt
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pre_processes:
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- type: ResizeShortSize
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args:
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short_size: 736
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resize_text_polys: false
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img_mode: RGB
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loader:
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batch_size: 1
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shuffle: true
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pin_memory: false
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num_workers: 6
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collate_fn: ICDARCollectFN

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