File size: 1,415 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: [123.675, 116.28, 103.53]}
- RandomFlip: {}
- CropWithDataAchorSampling: {
anchor_sampler: [[1, 10, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.2, 0.0]],
batch_sampler: [
[1, 50, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0],
[1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0],
[1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0],
[1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0],
[1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0],
],
target_size: 640}
- Resize: {target_size: [640, 640], keep_ratio: False, interp: 1}
- NormalizeBox: {}
- PadBox: {num_max_boxes: 90}
batch_transforms:
- NormalizeImage: {mean: [123, 117, 104], std: [127.502231, 127.502231, 127.502231], is_scale: false}
- Permute: {}
batch_size: 8
shuffle: true
drop_last: true
EvalReader:
sample_transforms:
- Decode: {}
- NormalizeImage: {mean: [123, 117, 104], std: [127.502231, 127.502231, 127.502231], is_scale: false}
- Permute: {}
batch_size: 1
TestReader:
sample_transforms:
- Decode: {}
- NormalizeImage: {mean: [123, 117, 104], std: [127.502231, 127.502231, 127.502231], is_scale: false}
- Permute: {}
batch_size: 1
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