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- # This config is an assembled config for ByteTrack MOT, used as eval/infer mode for MOT.
- _BASE_: [
- 'detector/yolov3_darknet53_40e_608x608_mot17half.yml',
- '_base_/mot17.yml',
- '_base_/yolov3_mot_reader_608x608.yml'
- ]
- weights: output/bytetrack_yolov3/model_final
- log_iter: 20
- snapshot_epoch: 2
- metric: MOT # eval/infer mode
- num_classes: 1
- architecture: ByteTrack
- pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/yolov3_darknet53_270e_coco.pdparams
- ByteTrack:
- detector: YOLOv3 # General YOLOv3 version
- reid: None
- tracker: JDETracker
- det_weights: https://bj.bcebos.com/v1/paddledet/models/mot/yolov3_darknet53_40e_608x608_mot17half.pdparams
- reid_weights: None
- YOLOv3:
- backbone: DarkNet
- neck: YOLOv3FPN
- yolo_head: YOLOv3Head
- post_process: BBoxPostProcess
- # Tracking requires higher quality boxes, so NMS score_threshold will be higher
- 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
- # BYTETracker
- JDETracker:
- use_byte: True
- match_thres: 0.9
- conf_thres: 0.2
- low_conf_thres: 0.1
- min_box_area: 100
- vertical_ratio: 1.6 # for pedestrian
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