#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2019/7/2 13:32
# @Author  : xiaodai
# -*- coding: UTF-8 -*-
import os
import cv2
from tqdm import tqdm
from multiprocessing import Pool


# 图片合成视频
def pic_to_video(path,save_path,time_dir):
    filelist = os.listdir(path) #获取该目录下的所有文件名
    writer = None
    print('-------->',path,save_path)
    for item in tqdm(filelist):
        if item.endswith('.jpg'):   #判断图片后缀是否是.jpg
            item = path + '/' + item
            img = cv2.imread(item)  #使用opencv读取图像，直接返回numpy.ndarray 对象，通道顺序为BGR ，注意是BGR，通道值默认范围0-255。
            if writer is None:
                fourcc = cv2.VideoWriter_fourcc(*"MJPG")
                writer = cv2.VideoWriter(save_path+'/'+time_dir+'.mp4', fourcc, 16,
                                     (img.shape[1], img.shape[0]), True)
            if writer is not None:
                writer.write(img)

if __name__ == '__main__':
    org_path = r"F:\temp\test"
    for cam_name in os.listdir(org_path):
        cam_path = os.path.join(org_path,cam_name)
        p = Pool(8)
        for time_dir in os.listdir(cam_path):
            path = os.path.join(cam_path,time_dir,'JPEGImages')
            save_path = os.path.join(cam_path,time_dir,'JPEGImages')
            os.makedirs(save_path,exist_ok=True)
            p.apply_async(pic_to_video, args=(path, save_path,time_dir,))
        p.close()
        p.join()

 

 

 

原文：https://blog.csdn.net/Hss891213/article/details/82468268