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66 lines
1.1 KiB
66 lines
1.1 KiB
name: DBNet
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base: ['config/SynthText.yaml']
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arch:
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type: Model
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backbone:
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type: resnet18
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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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visual_dl: false
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amp:
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scale_loss: 1024
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amp_level: O2
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custom_white_list: []
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custom_black_list: ['exp', 'sigmoid', 'concat']
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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: ./datasets/SynthText
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img_mode: RGB
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loader:
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batch_size: 2
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shuffle: true
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num_workers: 6
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collate_fn: ''
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