43 lines
1.1 KiB
YAML
43 lines
1.1 KiB
YAML
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worker_num: 2
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TrainReader:
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sample_transforms:
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- Decode: {}
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- RandomFlip: {prob: 0.5}
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- NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
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- Resize: {target_size: [800, 1333], keep_ratio: true, interp: 1}
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- Permute: {}
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batch_transforms:
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- PadBatch: {pad_to_stride: 128}
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- Gt2FCOSTarget:
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object_sizes_boundary: [64, 128, 256, 512]
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center_sampling_radius: 1.5
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downsample_ratios: [8, 16, 32, 64, 128]
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norm_reg_targets: True
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batch_size: 2
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shuffle: true
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drop_last: true
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EvalReader:
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sample_transforms:
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- Decode: {}
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- NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
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- Resize: {interp: 1, target_size: [800, 1333], keep_ratio: True}
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- Permute: {}
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batch_transforms:
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- PadBatch: {pad_to_stride: 128}
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batch_size: 1
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shuffle: false
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TestReader:
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sample_transforms:
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- Decode: {}
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- NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
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- Resize: {interp: 1, target_size: [800, 1333], keep_ratio: True}
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- Permute: {}
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batch_transforms:
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- PadBatch: {pad_to_stride: 128}
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batch_size: 1
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shuffle: false
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