YINYIPENG-EN / yolov5_vehicle_reid
yolov5+reid实现的车辆重识别
☆30Updated 10 months ago
Alternatives and similar repositories for yolov5_vehicle_reid:
Users that are interested in yolov5_vehicle_reid are comparing it to the libraries listed below
- 该项目可用于做yolov5+reid识别,可用于做跨视频人员检测☆42Updated 2 weeks ago
- 多类别多目标跟踪YoloV5+sort/deepsort/bytetrack/BotSort/motdt☆64Updated 2 years ago
- ByteTrack超详细教程!!!---训练自己的数据集(VOC格式)&&摄像头实时检测跟踪☆90Updated 3 years ago
- ☆52Updated 2 years ago
- ☆45Updated 11 months ago
- ☆26Updated this week
- ☆101Updated 3 years ago
- ☆23Updated 2 years ago
- ByteTrack with ReID module following the paradigm of FairMOT, tracking strategy is borrowed from FairMOT/JDE.☆116Updated last year
- 使用yolov8、fast-reid、deepsort完成目标跟踪,使用yolov8、fast-reid、Faiss完成行人重识别☆17Updated last month
- yolov5 + deepsort实现了行人计数功能, 统计摄像头内出现过的总人数,以及对穿越自定义黄线行人计数效果如下☆159Updated 3 years ago
- Multi-Target Multi-Camera Human Tracking (Non-overlapping camera system)☆18Updated 2 years ago
- ☆92Updated 3 years ago
- ☆282Updated last year
- 重识别完整pipeline。支持视频/图像/遍历文件夹。reid模型采用2024行人重识别指标最高模型.行人检测采用yolov8,行人跟踪采用botsort。检索系统采用faiss。☆25Updated 10 months ago
- learning project☆20Updated 11 months ago
- 🏆The 1st place solution of track3 (City-Scale Multi-Camera Vehicle Tracking) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.☆133Updated 2 years ago
- Given TrackEval to write a little bit complicated, could not too friendly for beginners, so I want to a simple optimization makes it easi…☆54Updated 3 months ago
- 基于Yolov8+UCMCTrack/DeepSort+注意力机制的多目标跟踪系统 v1.0.3☆42Updated 11 months ago
- 基于飞桨pphuman中跨镜头跟踪的改进,主要是实现两路推流实时跟踪☆16Updated last year
- TRACTA: Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment☆134Updated 2 years ago
- Retrain DeepSort with ShuffleNet.☆28Updated 3 years ago
- 基于YoloX目标检测+DeepSort算法实现多目标追踪Baseline☆170Updated 3 years ago
- ReID行人重识别,可做图像检索,陌生人检索等项目☆32Updated 2 years ago
- The 2nd place solution of track1 (City-Scale Multi-Camera Vehicle Tracking) in the NVIDIA AI City Challenge at CVPR 2022 Workshop.☆30Updated 2 years ago
- Codes of the 3rd place of Track 1, AI City Challenge 2022☆19Updated 2 years ago
- Baidu Rope3d detector based on yolov7☆52Updated last year
- 实现对YOLOX的剪枝操作,添加了卷积层和BN层融合推理,添加中间层可视化功能,可实现预测和训练日志保存☆44Updated last year
- we train UA_DETRAC dataset by yolov5 to achieve car detection☆55Updated 3 years ago
- Official codes of the first place for AICity 2022 Track 1☆58Updated 2 years ago