| worker_num: 2 | |
| 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 | |