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注:深度学习训练需要利用labelImg制作数据集 一.下载labelImg项目 git clone https://github.com/tzutalin/labelImg.git 二.导入依赖框架 Python 3 + Qt5 brew install qt # Install qt-5.x.x by Homebrew brew install libxml2 or using pip pip3 install pyqt5 lxml # Install qt and lxml by pip m

一.环境搭建 实时追踪检测目标 1.安装opencv brew install opencv@2 安装路径为:/usr/local/Cellar/opencv@2 2.设置环境变量 执行 open ~/.bashrc命令,打开.bashrc,然后添加 export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/Cellar/opencv@2/2.4.13.7_7/lib/pkgconfig export LD_LIBRARY_PATH=$LD_LIBRARY_P

一.环境搭建 准备工作:安装python环境以及Homebrew 1.下载derknet git clone https://github.com/AlexeyAB/darknet cd darknet make 2.利用homebrew安装wget brew install wget 3.利用wget下载权重模型 https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights 二