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- # This config is an assembled config for ByteTrack MOT, used as eval/infer mode for MOT.
- _BASE_: [
- '../../../yolov3/yolov3_darknet53_270e_coco.yml',
- '../_base_/mot17.yml',
- ]
- weights: output/yolov3_darknet53_40e_608x608_mot17half/model_final
- log_iter: 20
- snapshot_epoch: 2
- # schedule configuration for fine-tuning
- epoch: 40
- LearningRate:
- base_lr: 0.0001
- schedulers:
- - !PiecewiseDecay
- gamma: 0.1
- milestones:
- - 32
- - 36
- - !LinearWarmup
- start_factor: 0.3333333333333333
- steps: 100
- OptimizerBuilder:
- optimizer:
- momentum: 0.9
- type: Momentum
- regularizer:
- factor: 0.0005
- type: L2
- TrainReader:
- batch_size: 8
- mixup_epoch: 35
- # detector configuration
- architecture: YOLOv3
- pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/yolov3_darknet53_270e_coco.pdparams
- norm_type: sync_bn
- YOLOv3:
- backbone: DarkNet
- neck: YOLOv3FPN
- yolo_head: YOLOv3Head
- post_process: BBoxPostProcess
- DarkNet:
- depth: 53
- return_idx: [2, 3, 4]
- # use default config
- # YOLOv3FPN:
- YOLOv3Head:
- anchors: [[10, 13], [16, 30], [33, 23],
- [30, 61], [62, 45], [59, 119],
- [116, 90], [156, 198], [373, 326]]
- anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
- loss: YOLOv3Loss
- YOLOv3Loss:
- ignore_thresh: 0.7
- downsample: [32, 16, 8]
- label_smooth: false
- BBoxPostProcess:
- decode:
- name: YOLOBox
- conf_thresh: 0.005
- downsample_ratio: 32
- clip_bbox: true
- nms:
- name: MultiClassNMS
- keep_top_k: 100
- score_threshold: 0.01
- nms_threshold: 0.45
- nms_top_k: 1000
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