openCV 视频分解及合成
- 2020 年 1 月 22 日
- 笔记
1. 视频分解
import cv2 # ************************** # 分解视频 cap=cv2.VideoCapture('1.mp4')#获取一个视频cap isOpen=cap.isOpened()#判断是否打开 fps=cap.get(cv2.CAP_PROP_FPS)#频率,一秒多少张图片 width=int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))#宽 height=int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))#高 count=cap.get(cv2.CAP_PROP_FRAME_COUNT) print('height,width,count',height,width,count) i=0 while(isOpen): if i==10: break else: i+=1 (flag,frame)=cap.read()#读取每一张图片 flag:是否读取成功 frame:读取的照片 fileName='image'+str(i)+'.jpg' if flag: cv2.imwrite('./img/'+fileName,frame) print('end!')
2. 打开摄像头获取图片
# 打开摄像头 cap=cv2.VideoCapture(0) #值为0 打开摄像头 isOpen=cap.isOpened() i=1 while isOpen: i+=1 (flag,frame)=cap.read()##读取每一张图片 flag:是否读取成功 frame:读取的照片 cv2.imshow(str(i),frame) if flag: cv2.imwrite('./img/'+str(i)+'.jpg',frame) # 释放对象 if i == 20: break cap.release()
3. 图片合成视频
import cv2 fps = 24 fourcc = cv2.VideoWriter_fourcc(*'MJPG') videoWriter = cv2.VideoWriter('test.avi', fourcc, fps, (1080,1920)) for i in range(1,1000): p2=i img12 = cv2.imread('./img/image1.jpg') # cv2.imshow('img', img12) # cv2.waitKey(1000/int(fps)) print(str(p2)) videoWriter.write(img12) videoWriter.release()