Python利用VideoCapture读取视频或摄像头并进行保存

import cv2
 
def videocapture():
    cap=cv2.VideoCapture(0)     #生成读取摄像头对象
    width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))  #获取视频的宽度
    height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))  #获取视频的高度
    fps = cap.get(cv2.CAP_PROP_FPS) #获取视频的帧率
    fourcc = int(cap.get(cv2.CAP_PROP_FOURCC))    #视频的编码
    #定义视频对象输出
    writer = cv2.VideoWriter("video_result.mp4", fourcc, fps, (width, height))
    while cap.isOpened():
        ret, frame = cap.read() #读取摄像头画面
        cv2.imshow('teswell', frame) #显示画面
        key = cv2.waitKey(24)
        writer.write(frame)  #视频保存
        # 按Q退出
        if key == ord('q'):
            break
    cap.release()         #释放摄像头
    cv2.destroyAllWindows() #释放所有显示图像窗口
 
if __name__ == '__main__' :
 
    videocapture()

import numpy as np
import cv2
import os
 
def video2image(video_dir,save_dir):
    cap = cv2.VideoCapture(video_dir) #生成读取视频对象
    n = 1   #计数
    width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))    #获取视频的宽度
    height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))   #获取视频的高度
    fps = cap.get(cv2.CAP_PROP_FPS)    #获取视频的帧率
    fourcc = int(cap.get(cv2.CAP_PROP_FOURCC))    #视频的编码
    # 定义视频输出
    #writer = cv2.VideoWriter("teswellvideo_02_result.mp4", fourcc, fps, (width, height))
    i = 0
    timeF = int(fps)     #视频帧计数间隔频率
    while cap.isOpened():
        ret,frame = cap.read() #按帧读取视频
        #到视频结尾时终止
        if ret is False :
            break
        #每隔timeF帧进行存储操作
        if (n % timeF == 0) :
            i  = 1
            print('保存第 %s 张图像' % i)
            save_image_dir = os.path.join(save_dir,'%s.jpg' % i)
            print('save_image_dir: ', save_image_dir)
            cv2.imwrite(save_image_dir,frame) #保存视频帧图像
        n = n   1
        cv2.waitKey(1) #延时1ms
    cap.release() #释放视频对象
 
#读取文件夹所有视频，每个视频按帧保存图像
def video2image_multi(video_path,save_path):
    video_list = os.listdir(video_path)
    
    for i in range(len(video_list)) :      
        video_dir = os.path.join(video_path,video_list[i])
        cap = cv2.VideoCapture(video_dir)
        fps = cap.get(cv2.CAP_PROP_FPS)     # 视频的帧率
        save_num = 0
        n = 1           #计数
        timeF = int(fps)          # 视频帧计数间隔频率
        while cap.isOpened():
            ret,frame = cap.read()
            if ret is False :
                break
            #每隔timeF帧进行存储操作
            if (n % timeF == 0) :
                save_num  = 1
                save_image_dir = os.path.join(save_path,'%s_%s.jpg' % (i,save_num))
                cv2.imwrite(save_image_dir,frame)
            n = n   1
            cv2.waitKey(1)
        cap.release()
        print('读取第 %s 个视频完成 ！！！' % i)
 
if __name__ == '__main__' :
 
    video_to_image(r'E:\AI\video.mp4', r'E:\AI\video2image')