关键
1参数里的分辨率是图像本身的分辨率,而不是指定生成的视频分辨率。如果要修改分辨率,要么后期软件处理,要么读图的时候resize
2要正常退出,不要强制退出。
3生成的只能是avi格式。
#include <iostream> #include <string> #include "opencv2/highgui/highgui.hpp" #include "opencv2/core/core.hpp" #include "opencv2/opencv.hpp" using namespace std; using namespace cv; void Video_To_Image(string filename); void Image_To_Video(); int imagetovideo(); int main() { //string video_name = "test.avi";//注意,使用string时,若不用using namespace std,需要使用std::string //Video_To_Image(video_name); Image_To_Video(); //imagetovideo(); 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 – 视频的当前位置(毫秒) CV_CAP_PROP_POS_FRAMES – 视频的当前位置(帧) CV_CAP_PROP_FRAME_WIDTH – 视频流的宽度 CV_CAP_PROP_FRAME_HEIGHT – 视频流的高度 CV_CAP_PROP_FPS – 帧速率(帧 / 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);//总帧数 cout << "frame_width is " << frame_width << endl; cout << "frame_height is " << frame_height << endl; cout << "frame_fps is " << frame_fps << endl; int num = 0;//统计帧数 cv::Mat img; string img_name; char image_name[20]; cv::namedWindow("MyVideo", CV_WINDOW_AUTOSIZE); while (true) { cv::Mat frame; //从视频中读取一个帧 bool bSuccess = capture.read(frame); if (!bSuccess) { cout << "不能从视频文件读取帧" << endl; break; } //在MyVideo窗口上显示当前帧 imshow("MyVideo", frame); //保存的图片名 //sprintf(const_cast<char*>(img_name.data()), "%s%d%s", "image", ++num, ".jpg");//保存的图片名 sprintf(image_name, "%s%d%s", "image", ++num, ".jpg");//保存的图片名 img_name = image_name; imwrite(img_name, frame);//保存保存一帧图片 if (cv::waitKey(30) == 27 || num == frame_number) { cout << "按下ESC键" << endl; break; } } capture.release();//这句话貌似不需要 } void Image_To_Video() { cout << "---------------Video_To_Image-----------------" << endl; string s_image_name; cv::VideoWriter writer; int isColor = 1;//不知道是干啥用的 int frame_fps = 25; int frame_width = 1920; //必须是图像真实的分辨率,这不是指定生成视频的分辨率 int frame_height = 1080; string video_name = "out.avi"; //CV_FOURCC('M', 'J', 'P', 'G') CV_FOURCC('D', 'I', 'V', 'X') writer = VideoWriter(video_name, CV_FOURCC('D', 'I', 'V', 'X'), frame_fps, Size(frame_width, frame_height), isColor); cout << "frame_width is " << frame_width << endl; cout << "frame_height is " << frame_height << endl; cout << "frame_fps is " << frame_fps << endl; cv::namedWindow("image to video", CV_WINDOW_AUTOSIZE); int num = 50;//输入的图片总张数 int i = 1; Mat img; if (!writer.isOpened()) { cout << "Error : fail to open video writer\n" << endl; return ; } while (i <= num) { string path = "F:/dongdong/1学习资料/1论文/2发表/稠密轨迹跟踪/最新论文/代码/0数据/光流跟踪/result/test2/2GUI/1/"; s_image_name = path + std::to_string(i++) + ".jpg"; img = imread(s_image_name);//读入图片 if (!img.data)//判断图片调入是否成功 { cout << "Could not load image file...\n" << endl; break; } //imshow(); //写入 writer << img; imshow("image to video", img); waitKey(1); if (cv::waitKey(30) == 27 || i == num) { cout << "按下ESC键" << endl; cvReleaseVideoWriter; break; } } cvReleaseVideoWriter; }