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- _BASE_: [
- '../datasets/coco_detection.yml',
- '../runtime.yml',
- '_base_/yolov3_darknet53.yml',
- '_base_/yolov3_reader.yml',
- ]
- snapshot_epoch: 5
- weights: output/yolov3_darknet53_270e_coco/model_final
- norm_type: bn
- YOLOv3Loss:
- ignore_thresh: 0.5
- downsample: [32, 16, 8]
- label_smooth: false
- worker_num: 8
- TrainReader:
- inputs_def:
- num_max_boxes: 50
- sample_transforms:
- - Decode: {}
- - RandomDistort: {}
- - RandomExpand: {fill_value: [123.675, 116.28, 103.53], ratio: 2.0}
- - RandomCrop: {}
- - RandomFlip: {}
- batch_transforms:
- - BatchRandomResize: {target_size: [416], random_size: True, random_interp: True, keep_ratio: False}
- - NormalizeBox: {}
- - PadBox: {num_max_boxes: 50}
- - BboxXYXY2XYWH: {}
- - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- - Permute: {}
- - Gt2YoloTarget: {anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]], anchors: [[10, 13], [16, 30], [33, 23], [30, 61], [62, 45], [59, 119], [116, 90], [156, 198], [373, 326]], downsample_ratios: [32, 16, 8], iou_thresh: 0.5}
- batch_size: 32
- shuffle: true
- drop_last: true
- mixup_epoch: -1
- use_shared_memory: true
- epoch: 320
- LearningRate:
- base_lr: 0.001
- schedulers:
- - !CosineDecay
- max_epochs: 320
- - !LinearWarmup
- start_factor: 0.
- epochs: 4
- OptimizerBuilder:
- optimizer:
- momentum: 0.9
- type: Momentum
- regularizer:
- factor: 0.016
- type: L2
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