Qt+YOLOv4实现目标检测_yolo+qt

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
 
2、https://blog.csdn.net/sinat_41852207/article/details/90906309?utm_medium=distribute.pc_relevant.none-task-blog-OPENSEARCH-5.control&depth_1-utm_source=distribute.pc_relevant.none-task-blog-OPENSEARCH-5.control
 
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4、https://blog.csdn.net/jin739738709/article/details/90342696
 
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