使用python实现视频与图片相互转换

申明：在做图像处理的时候需要使用到将顺序标号的图片专为视频或者将视频转换为图片的功能，现在总结出来与大家一起分享，以备自己不时之需。

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运行系统：Ubuntu18.04

运行环境：python3.6.9

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1、图片转视频

def Pic2Video():
    imgPath = "youimgPath"  # 读取图片路径
    videoPath = "youvideoPath"  # 保存视频路径

    images = os.listdir(imgPath)
    fps = 25  # 每秒25帧数

    # VideoWriter_fourcc为视频编解码器 ('I', '4', '2', '0') —>(.avi) 、('P', 'I', 'M', 'I')—>(.avi)、('X', 'V', 'I', 'D')—>(.avi)、('T', 'H', 'E', 'O')—>.ogv、('F', 'L', 'V', '1')—>.flv、('m', 'p', '4', 'v')—>.mp4
    fourcc = VideoWriter_fourcc(*"MJPG")

    image = Image.open(imgPath + images[0])
    videoWriter = cv2.VideoWriter(videoPath, fourcc, fps, image.size)
    for im_name in range(len(images)):
        frame = cv2.imread(imgPath + images[im_name])  # 这里的路径只能是英文路径
        # frame = cv2.imdecode(np.fromfile((imgPath + images[im_name]), dtype=np.uint8), 1)  # 此句话的路径可以为中文路径
        print(im_name)
        videoWriter.write(frame)
    print("图片转视频结束！")
    videoWriter.release()
    cv2.destroyAllWindows()

2、视频转图片

def Video2Pic():
    videoPath = "youvideoPath"  # 读取视频路径
    imgPath = "youimgPath"  # 保存图片路径

    cap = cv2.VideoCapture(videoPath)
    # fps = cap.get(cv2.CAP_PROP_FPS)  # 获取帧率
    # width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))  # 获取宽度
    # height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))  # 获取高度
    suc = cap.isOpened()  # 是否成功打开
    frame_count = 0
    while suc:
        frame_count += 1
        suc, frame = cap.read()
        cv2.imwrite(imgPath + str(frame_count).zfill(4), frame)
        cv2.waitKey(1)
    cap.release()
    print("视频转图片结束！")

3、主函数

import cv2
from cv2 import VideoWriter, VideoWriter_fourcc, imread, resize
import os
from PIL import Image


# 此处添加上述两个函数


if __name__ == '__main__':
    # Video2Pic()
    Pic2Video()

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至此两个功能都已实现，如有错误，望相互指正。

本文地址：https://blog.csdn.net/r1141207831/article/details/107403222