Day52 - P234+NWD改进在FLIR上的表现

yolov5s/m和yolov8s删除P5检测头+添加P2检测头,使用NWD损失函数,在FLIR上训练200epochs

• Yolov5s-p234-nwd

  Parameters: 6.273M

  Class	Precision	Recall	mAP50	mAP50-95
  all	0.606	0.538	0.564	0.346
  person	0.838	0.736	0.837	0.501
  bike	0.536	0.529	0.517	0.324
  car	0.846	0.826	0.888	0.645
  motor	0.681	0.636	0.686	0.356
  bus	0.8	0.493	0.651	0.466
  truck	0.251	0.457	0.188	0.118
  light	0.784	0.583	0.669	0.331
  other vehicle	0.109	0.0411	0.0786	0.0298

• Yolov5m-p234-nwd

  Parameters: 17.162M

  Class	Precision	Recall	mAP50	mAP50-95
  all	0.662	0.557	0.597	0.38
  person	0.88	0.729	0.856	0.531
  bike	0.635	0.571	0.55	0.365
  car	0.884	0.824	0.9	0.666
  motor	0.708	0.691	0.717	0.393
  bus	0.81	0.508	0.698	0.504
  truck	0.325	0.413	0.247	0.163
  light	0.797	0.592	0.682	0.345
  other vehicle	0.258	0.127	0.128	0.0741

• Yolov8s-p234-nwd

  Parameters: 7.781M

  Class	Precision	Recall	mAP50	mAP50-95
  all	0.663	0.496	0.566	0.349
  person	0.894	0.667	0.839	0.504
  bike	0.678	0.52	0.521	0.32
  car	0.907	0.787	0.893	0.651
  motor	0.692	0.571	0.631	0.333
  bus	0.8	0.508	0.689	0.485
  truck	0.327	0.348	0.239	0.155
  light	0.836	0.522	0.654	0.32
  other vehicle	0.17	0.0476	0.0579	0.0243