模型部署+目标检测YOLOv5+C++ - Opencv部署

上传者: yohnyang | 上传时间: 2023-04-20 21:31:38 | 文件大小: 126MB | 文件类型: RAR
由于C++语言的运行优势,多数算法模型在实际应用时需要部署到C++环境下运行,以提高算法速度和稳定性 主要讲述WIn10下在VS工程中通过Opencv部署yolov5模型,步骤包括: 1.python环境下通过export.py导出.onnx模型 2.C++环境下通过opencv的DNN模块进行模型导入和调用 部署完成后的检测效果如下图所示(CPU下运行,无加速!) 适合刚开始转战C++的算法小白

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