[{"title":"( 101 个子文件 67.21MB ) 基于YOLOv5+Deepsort实现车辆行人追踪和计数源码+说明文档(高分项目).rar","children":[{"title":"Dockerfile <span style='color:#111;'> 821B </span>","children":null,"spread":false},{"title":".gitkeep <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"yolov5.iml <span style='color:#111;'> 551B </span>","children":null,"spread":false},{"title":"bus.jpg <span style='color:#111;'> 476.01KB </span>","children":null,"spread":false},{"title":"zidane.jpg <span style='color:#111;'> 164.99KB </span>","children":null,"spread":false},{"title":"train.jpg <span style='color:#111;'> 58.93KB </span>","children":null,"spread":false},{"title":"说明文档.md <span style='color:#111;'> 2.86KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.67KB </span>","children":null,"spread":false},{"title":"说明.md <span style='color:#111;'> 65B </span>","children":null,"spread":false},{"title":"best.pt <span style='color:#111;'> 13.75MB </span>","children":null,"spread":false},{"title":"last.pt <span style='color:#111;'> 13.75MB </span>","children":null,"spread":false},{"title":"datasets.py <span style='color:#111;'> 39.23KB </span>","children":null,"spread":false},{"title":"general.py <span style='color:#111;'> 28.02KB </span>","children":null,"spread":false},{"title":"plots.py <span style='color:#111;'> 19.66KB </span>","children":null,"spread":false},{"title":"wandb_utils.py <span style='color:#111;'> 19.04KB </span>","children":null,"spread":false},{"title":"common.py <span style='color:#111;'> 16.25KB </span>","children":null,"spread":false},{"title":"metrics.py <span style='color:#111;'> 13.09KB </span>","children":null,"spread":false},{"title":"yolo.py <span style='color:#111;'> 12.85KB </span>","children":null,"spread":false},{"title":"torch_utils.py <span style='color:#111;'> 12.49KB </span>","children":null,"spread":false},{"title":"json_logger.py <span style='color:#111;'> 11.49KB </span>","children":null,"spread":false},{"title":"augmentations.py <span style='color:#111;'> 11.23KB </span>","children":null,"spread":false},{"title":"detect.py <span style='color:#111;'> 11.08KB </span>","children":null,"spread":false},{"title":"loss.py <span style='color:#111;'> 9.51KB </span>","children":null,"spread":false},{"title":"export.py <span style='color:#111;'> 7.63KB </span>","children":null,"spread":false},{"title":"kalman_filter.py <span style='color:#111;'> 7.60KB </span>","children":null,"spread":false},{"title":"autoanchor.py <span style='color:#111;'> 6.99KB </span>","children":null,"spread":false},{"title":"export.py <span style='color:#111;'> 6.91KB </span>","children":null,"spread":false},{"title":"linear_assignment.py <span style='color:#111;'> 6.29KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 6.06KB </span>","children":null,"spread":false},{"title":"google_utils.py <span style='color:#111;'> 5.82KB </span>","children":null,"spread":false},{"title":"hubconf.py <span style='color:#111;'> 5.53KB </span>","children":null,"spread":false},{"title":"nn_matching.py <span style='color:#111;'> 5.34KB </span>","children":null,"spread":false},{"title":"experimental.py <span style='color:#111;'> 5.14KB </span>","children":null,"spread":false},{"title":"track.py <span style='color:#111;'> 4.92KB </span>","children":null,"spread":false},{"title":"io.py <span style='color:#111;'> 4.25KB </span>","children":null,"spread":false},{"title":"tracker.py <span style='color:#111;'> 4.20KB </span>","children":null,"spread":false},{"title":"tracker.py <span style='color:#111;'> 3.67KB </span>","children":null,"spread":false},{"title":"activations.py <span style='color:#111;'> 3.63KB </span>","children":null,"spread":false},{"title":"evaluation.py <span style='color:#111;'> 3.45KB </span>","children":null,"spread":false},{"title":"deep_sort.py <span style='color:#111;'> 3.37KB </span>","children":null,"spread":false},{"title":"original_model.py <span style='color:#111;'> 3.16KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 3.13KB </span>","children":null,"spread":false},{"title":"iou_matching.py <span style='color:#111;'> 2.76KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 2.37KB </span>","children":null,"spread":false},{"title":"AIDetector_pytorch.py <span style='color:#111;'> 2.10KB </span>","children":null,"spread":false},{"title":"preprocessing.py <span style='color:#111;'> 1.87KB </span>","children":null,"spread":false},{"title":"feature_extractor.py <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"demo.py <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"vedio.py <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"draw.py <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false},{"title":"resume.py <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"BaseDetector.py <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"restapi.py <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"parser.py <span style='color:#111;'> 976B </span>","children":null,"spread":false},{"title":"sweep.py <span style='color:#111;'> 877B </span>","children":null,"spread":false},{"title":"log_dataset.py <span style='color:#111;'> 870B </span>","children":null,"spread":false},{"title":"detection.py <span style='color:#111;'> 825B </span>","children":null,"spread":false},{"title":"tools.py <span style='color:#111;'> 734B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 500B </span>","children":null,"spread":false},{"title":"log.py <span style='color:#111;'> 463B </span>","children":null,"spread":false},{"title":"asserts.py <span style='color:#111;'> 316B </span>","children":null,"spread":false},{"title":"example_request.py <span style='color:#111;'> 299B </span>","children":null,"spread":false},{"title":"evaluate.py <span style='color:#111;'> 293B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"userdata.sh <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"mime.sh <span style='color:#111;'> 780B </span>","children":null,"spread":false},{"title":"ckpt.t7 <span style='color:#111;'> 43.90MB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 703B </span>","children":null,"spread":false},{"title":"additional_requirements.txt <span style='color:#111;'> 105B </span>","children":null,"spread":false},{"title":"Project_Default.xml <span style='color:#111;'> 852B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 264B </span>","children":null,"spread":false},{"title":"misc.xml <span style='color:#111;'> 194B </span>","children":null,"spread":false},{"title":"vcs.xml <span style='color:#111;'> 180B </span>","children":null,"spread":false},{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false},{"title":"anchors.yaml <span style='color:#111;'> 3.28KB </span>","children":null,"spread":false},{"title":"sweep.yaml <span style='color:#111;'> 2.43KB </span>","children":null,"spread":false},{"title":"yolov5-p7.yaml <span style='color:#111;'> 2.17KB </span>","children":null,"spread":false},{"title":"yolov5x6.yaml <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"yolov5s6.yaml <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"yolov5m6.yaml <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"yolov5l6.yaml <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"yolov5-p6.yaml <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"yolov5-p2.yaml <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"yolov3-spp.yaml <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"yolov3.yaml <span style='color:#111;'> 1.63KB </span>","children":null,"spread":false},{"title":"yolov5-panet.yaml <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":"yolov5s-transformer.yaml <span style='color:#111;'> 1.50KB </span>","children":null,"spread":false},{"title":"yolov5m.yaml <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"yolov5s.yaml <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"yolov5x.yaml <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"yolov5l.yaml <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"yolov5-fpn.yaml <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"yolov3-tiny.yaml <span style='color:#111;'> 1.27KB </span>","children":null,"spread":false},{"title":"deep_sort.yaml <span style='color:#111;'> 200B </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"spread":false}],"spread":true}]