最全OpenCV设置和获取摄像头参数_opencv 设置摄像头 对比度，2024年最新C C++应用性能优化_opencv设置相机参数

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capture.get(CV_CAP_PROP_EXPOSURE);

 


### 获取视频参数




---



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capture.get(CV_CAP_PROP_FRAME_COUNT);//视频帧数

#### 


#### 源代码



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/**
@brief OpenCV摄像头和视频属性操作
@author xiaolei
@copyright -
@version 1.0
@data 2019/10/12
@note -
*/
#include
#include “opencv2/opencv.hpp”

using namespace std;
using namespace cv;

const string window_name = “用户界面”;

#define USE_CAMERA
//#define USE_VIDEO

int main()
{
Mat frame;

double brightness = 0;		//亮度
double contrast = 0;		//对比度
double saturation = 0;		//饱和度
double hue = 0;				//色调
double gain = 0;			//增益
double exposure = 0;		//曝光
double white_balance = 0;	//白平衡

double pos_msec = 0;		//当前视频位置(ms)
double pos_frame = 0;		//从0开始下一帧的索引
double pos_avi_ratio = 0;	//视频中的相对位置(范围为0.0到1.0)
double frame_width = 0;		//视频帧的像素宽度
double frame_height = 0;	//视频帧的像素高度
double fps = 0;				//帧速率
double frame_count = 0;		//视频总帧数
double video_duration = 0.00;	//视频时长
double format = 0;			//格式
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#ifdef USE_VIDEO
const string file_name = “201910915314.avi”;
VideoCapture capture(file_name);

frame_width = capture.get(cv::CAP_PROP_FRAME_WIDTH);
frame_height = capture.get(cv::CAP_PROP_FRAME_HEIGHT);
fps = capture.get(cv::CAP_PROP_FPS);
frame_count = capture.get(cv::CAP_PROP_FRAME_COUNT);
format = capture.get(cv::CAP_PROP_FORMAT);
pos_avi_ratio = capture.get(cv::CAP_PROP_POS_AVI_RATIO);
video_duration = frame_count / fps;

cout << "---------------------------------------------" << endl;
cout << "视频中的相对位置(范围为0.0到1.0):" << pos_avi_ratio << endl;
cout << "视频帧的像素宽度:" << frame_width << endl;
cout << "视频帧的像素高度:" << frame_height << endl;
cout << "录制视频的帧速率(帧/秒):" << fps << endl;
cout << "视频文件总帧数:" << frame_count << endl;
cout << "图像的格式:" << format << endl;
cout << "视频时长:" << video_duration << endl;
cout << "---------------------------------------------" << endl;
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#endif // USE_VIDEO

#ifdef USE_CAMERA
VideoCapture capture(0);
brightness = capture.get(cv::CAP_PROP_BRIGHTNESS);
contrast= capture.get(cv::CAP_PROP_CONTRAST);
saturation = capture.get(cv::CAP_PROP_SATURATION);
hue = capture.get(cv::CAP_PROP_HUE);
gain = capture.get(cv::CAP_PROP_GAIN);
exposure = capture.get(cv::CAP_PROP_EXPOSURE);
white_balance = capture.get(cv::CAP_PROP_WHITE_BALANCE_BLUE_U);

std::cout << "---------------------------------------------" << endl;
std::cout << "摄像头亮度：" << brightness << endl;
std::cout << "摄像头对比度：" << contrast << endl;
std::cout << "摄像头饱和度：" << saturation << endl;
std::cout << "摄像头色调：" << hue << endl;
std::cout << "摄像头增益：" << gain << endl;
std::cout << "摄像头曝光度：" << exposure << endl;
std::cout << "摄像头白平衡：" << white_balance << endl;
std::cout << "---------------------------------------------" << endl;
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#endif // USE_CAMERA

namedWindow(window_name,WINDOW_AUTOSIZE);
while (capture.isOpened())
{
	capture >> frame;
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#ifdef USE_VIDEO
pos_msec = capture.get(cv::CAP_PROP_POS_MSEC);
pos_frame = capture.get(cv::CAP_PROP_POS_FRAMES);

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由于文件比较多，这里只是将部分目录截图出来，全套包含大厂面经、学习笔记、源码讲义、实战项目、大纲路线、讲解视频，并且后续会持续更新

如果你需要这些资料，可以戳这里获取

由于文件比较多，这里只是将部分目录截图出来，全套包含大厂面经、学习笔记、源码讲义、实战项目、大纲路线、讲解视频，并且后续会持续更新

如果你需要这些资料，可以戳这里获取