基于YOLOv8与DeepSORT的实时车辆检测跟踪与流量统计系统源码包

上传者: resnet7explorer | 上传时间: 2026-04-21 18:01:53 | 文件大小: 50.05MB | 文件类型: ZIP
一套开箱即用的智能交通视觉分析系统,融合YOLOv8目标检测模型与DeepSORT多目标跟踪算法,支持对视频流(含test.mp4示例)中的车辆进行高精度识别、连续轨迹追踪及跨区域计数。项目包含完整可运行代码:main.py负责核心流程调度,app.py提供简易Web界面(webui.png为界面截图),yolov8n.pt为预训练轻量级检测模型,deep_sort目录封装跟踪逻辑,configs和utils提供参数配置与工具函数。所有依赖通过requirements.txt统一管理,使用说明.txt详细列出环境配置、数据输入格式、运行命令及常见问题解决方案。已适配CPU/GPU环境,经实测在普通笔记本上可流畅处理1080P道路监控视频,输出带ID轨迹框与累计计数结果(demo.png为效果示例)。适用于毕业设计、课程设计或智能交通类期末大作业,无需额外训练即可直接部署验证。

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