File size: 1,120 Bytes
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TrainReader:
inputs_def:
num_max_boxes: 90
sample_transforms:
- Decode: {}
- RandomDistort: {brightness: [0.5, 1.125, 0.875], random_apply: False}
- RandomExpand: {fill_value: [104., 117., 123.]}
- RandomCrop: {allow_no_crop: true}
- RandomFlip: {}
- Resize: {target_size: [300, 300], keep_ratio: False, interp: 1}
- NormalizeBox: {}
- PadBox: {num_max_boxes: 90}
batch_transforms:
- NormalizeImage: {mean: [104., 117., 123.], std: [1., 1., 1.], is_scale: false}
- Permute: {}
batch_size: 8
shuffle: true
drop_last: true
EvalReader:
sample_transforms:
- Decode: {}
- Resize: {target_size: [300, 300], keep_ratio: False, interp: 1}
- NormalizeImage: {mean: [104., 117., 123.], std: [1., 1., 1.], is_scale: false}
- Permute: {}
batch_size: 1
TestReader:
inputs_def:
image_shape: [3, 300, 300]
sample_transforms:
- Decode: {}
- Resize: {target_size: [300, 300], keep_ratio: False, interp: 1}
- NormalizeImage: {mean: [104., 117., 123.], std: [1., 1., 1.], is_scale: false}
- Permute: {}
batch_size: 1
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