opencv3.0Beta+VS2012的視訊儲存為圖片，如果opencv版本不同引入的庫也會不一樣，大家注意！！！

#include "opencv2/opencv.hpp" #include "iostream" #include "string" #include "opencv2/highgui/highgui.hpp" #include "opencv2/core/core.hpp" #include "opencv2/imgproc/types_c.h" #include "opencv2/highgui/highgui_c.h" using namespace std; void Video_To_Image(string filename); int main() { string video_name = "3.mp4";//注意，根據自己讀取的視訊位置來寫路徑 Video_To_Image(video_name); return 0; } void Video_To_Image(string filename) { cout << "---------------Video_To_Image-----------------" << endl; cv::VideoCapture capture(filename); if (!capture.isOpened()) { cout << "open video error"; } /*CV_CAP_PROP_POS_MSEC – 視訊的當前位置（毫秒） CV_CAP_PROP_POS_FRAMES – 視訊的當前位置（幀） CV_CAP_PROP_FRAME_WIDTH – 視訊流的寬度 CV_CAP_PROP_FRAME_HEIGHT – 視訊流的高度 CV_CAP_PROP_FPS – 幀速率（幀 / 秒）*/ int frame_width = (int)capture.get(CV_CAP_PROP_FRAME_WIDTH); int frame_height = (int)capture.get(CV_CAP_PROP_FRAME_HEIGHT); float frame_fps = capture.get(CV_CAP_PROP_FPS); int frame_number = capture.get(CV_CAP_PROP_FRAME_COUNT);//總幀數 cout << "frame_width is " << frame_width<<endl; cout << "frame_height is " << frame_height << endl; cout << "frame_fps is " << frame_fps << endl; int num = 0;//統計幀數 cv::Mat img; string img_name; char image_name[20]; cv::namedWindow("MyVideo",CV_WINDOW_AUTOSIZE); while (true) { cv::Mat frame; //從視訊中讀取一個幀 bool bSuccess = capture.read(frame); if (!bSuccess) { cout << "不能從視訊檔案讀取幀" << endl; break; } //在MyVideo視窗上顯示當前幀 imshow("MyVideo", frame); //儲存的圖片名 //sprintf(const_cast(img_name.data()), "%s%d%s", "image", ++num, ".jpg");//儲存的圖片名 sprintf(image_name, "%s%d%s", "image", ++num, ".jpg");//儲存的圖片名 img_name = image_name; imwrite(img_name, frame);//儲存儲存一幀圖片 if (cv::waitKey(30) == 27||num==frame_number) { cout << "按下ESC鍵" << endl; break; } } } </vec2f></fstream></tchar></opencv2></ctype></iostream>