前言
視頻處理過程中,會用到對等長的視頻進行處理,此時要對大視頻進行分割。
實現步驟
1.批量讀取視頻集;
2.視頻分割;
測試代碼
1.批量讀取視頻集;
/************************************************************************ * Copyright(c) 2017 AMY * All rights reserved. * * File: * Brief: * Version: 1.0 * Author: * Email: * Date: 2017/10/30 * History: * 20171030: ; ************************************************************************/ #include <iostream> #include <string> #include <vector> #include "opencv2/opencv.hpp" #include "opencv2/contrib/contrib.hpp" using namespace std; using namespace cv; void videoSegmentation(string videoName, string videoSegFolder, int segLen, int k); int main() { string videoFolder = ".\\dataset\\p1"; string videoSegFolder = ".\\segVideos\\"; cv::Directory dir; string videoType = "*.avi"; bool addPath = true; int segLen = 30; vector<string> videosName = dir.GetListFiles(videoFolder, videoType, addPath); string videoFile; cout << videosName.size() << endl; for (int i = 0; i < videosName.size(); i++) { videoSegmentation(videosName[i], videoSegFolder, segLen, i+1); } return 0; }
2.視頻分割;

void videoSegmentation(string videoName, string videoSegFolder, int segLen, int k) { VideoCapture capture(videoName); if (!capture.isOpened()) { cout << "Loading error!" << endl; abort(); } int nFrame = (int)capture.get(CV_CAP_PROP_POS_FRAMES); int fps = (int)capture.get(CV_CAP_PROP_FPS); int width = (int)capture.get(CV_CAP_PROP_FRAME_WIDTH); int height = (int)capture.get(CV_CAP_PROP_FRAME_HEIGHT); Size videoSize(width, height); VideoWriter writer; string videoSeg = videoSegFolder + to_string(k) + "_1.avi"; writer.open(videoSeg, CV_FOURCC('D', 'I', 'V', '3'), fps, videoSize); Mat frame; int videoNum = 0; while (1) { if (capture.read(frame)) { videoNum++; writer << frame; if (!(videoNum % (fps*segLen))) { videoSeg = videoSegFolder + to_string(k) + "_" + to_string(videoNum/(fps*segLen)) + ".avi"; writer.open(videoSeg, CV_FOURCC('D', 'I', 'V', '3'), fps, videoSize); } else { } } else { break; } } capture.release(); return; }
注意,OpenCV只支持avi的格式,而且生成的視頻文件不能大於2GB,而且不能添加音頻。
補充:
如果生成視頻的顏色不正確,很有可能是中間處理過程中圖片的R/G/B通道發生了改變,也有可能是編解碼格式問題。
牢記:opencv的顏色通道順序默認都是BGR!!!
完