41 lines
1.2 KiB
YAML
41 lines
1.2 KiB
YAML
worker_num: 8
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TrainReader:
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inputs_def:
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num_max_boxes: 90
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sample_transforms:
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- Decode: {}
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- RandomDistort: {brightness: [0.5, 1.125, 0.875], random_apply: False}
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- RandomExpand: {fill_value: [127.5, 127.5, 127.5]}
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- RandomCrop: {allow_no_crop: Fasle}
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- RandomFlip: {}
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- Resize: {target_size: [300, 300], keep_ratio: False, interp: 1}
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- NormalizeBox: {}
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- PadBox: {num_max_boxes: 90}
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batch_transforms:
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- NormalizeImage: {mean: [127.5, 127.5, 127.5], std: [127.502231, 127.502231, 127.502231], is_scale: false}
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- Permute: {}
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batch_size: 32
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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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- Resize: {target_size: [300, 300], keep_ratio: False, interp: 1}
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- NormalizeImage: {mean: [127.5, 127.5, 127.5], std: [127.502231, 127.502231, 127.502231], is_scale: false}
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- Permute: {}
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batch_size: 1
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drop_empty: false
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TestReader:
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inputs_def:
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image_shape: [3, 300, 300]
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sample_transforms:
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- Decode: {}
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- Resize: {target_size: [300, 300], keep_ratio: False, interp: 1}
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- NormalizeImage: {mean: [127.5, 127.5, 127.5], std: [127.502231, 127.502231, 127.502231], is_scale: false}
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- Permute: {}
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batch_size: 1
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