Qt+YOLOv4实现目标检测

文章目录[隐藏]

1.编译前准备
2.编译YOLO
3.构建项目

环境：

系统：win10 （显卡：NVIDIA GTX 1050）

Yolo版本：V4

cuda:11.2

cudnn:8.1.1

opencv:3.4.15

VS:2019

1.编译前准备

1.1 opencv

首先要安装opencv，下载地址如下

https://opencv.org/

安装3.4.16就可以了

1.2 安装cuda和cudnn

安装教程可以参考我这篇文章。

深度学习GPU环境CUDA安装教程

2.编译YOLO

YOLO下载地址：‍

https://github.com/AlexeyAB/darknethttps://codechina.csdn.net/mirrors/alexeyab/darknet?utm_source=csdn_github_accelerator

用记事本打开yolo_cpp_dll.vcxproj

将里面的版本换成自己的版本，文件中有两处修改。

修改完成后，打开yolo_cpp_dll.sln，然后选择release，然后生成。

生成完后就会得到DLL和LIB。

然后将头文件和库拷贝到自己工程目录下。

3.构建项目

3.1 添加头文件路径和库

#OPENCV
INCLUDEPATH += E:/build/include/
INCLUDEPATH += E:/build/include/opencv/
INCLUDEPATH += E:/build/include/opencv2/
LIBS += -LE:/build/x64/vc15/lib/ -lopencv_world3415

#YOLO
INCLUDEPATH += $$PWD/yolov4/include/
LIBS += -L$$PWD/yolov4/lib/ -lyolo_cpp_dll

3.2 添加宏和头文件

//
#define OPENCV
#define GPU
#include "yolo_v2_class.hpp"

//
#include <opencv2\opencv.hpp>
#include "opencv2/highgui/highgui.hpp"
using namespace cv;

3.3 要下载这几个文件

里面有权重文件。

https://pan.baidu.com/s/1c-clykwyKHGQp2ENnJjFoA
密码：d6lz

3.4 最后运行程序

结果如下：

测试源码地址：

https://download.csdn.net/download/qq_40732350/33811403

参考链接：

https://link.zhihu.com/?target=https%3A//pjreddie.com/media/files/yolov3.weights

https://blog.csdn.net/weixin_42448226/article/details/105752224

https://www.cnblogs.com/ivint/p/14298388.html

https://github.com/gyutaebbb/yolo-qt

https://github.com/AlexeyAB/darknet
1、https://blog.csdn.net/lixudem/article/details/106993430?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-6.control&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-6.control

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原文链接：https://blog.csdn.net/qq_40732350/article/details/120906941