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描述：本文记录了自动化批量处理图片和视频python脚本； 包括《批量修改图片尺寸》、《python代码按帧提取提取视频保存为图片》

【python脚本】批量修改图片尺寸

# -*- coding: utf-8 -*-
"""
Created on Thu Aug 23 16:06:35 2018
@author: libo
"""
from PIL import Image
import os
  
  
def image_resize(image_path, new_path):           # 统一图片尺寸
    print('============>>修改图片尺寸')
    for img_name in os.listdir(image_path):
        img_path = image_path + "/" + img_name    # 获取该图片全称
        image = Image.open(img_path)              # 打开特定一张图片
        image = image.resize((3840, 2160))          # 设置需要转换的图片大小
        # process the 1 channel image
        image.save(new_path + '/'+ img_name)
    print("end the processing!")
  
  
if __name__ == '__main__':
    print("ready for ::::::::  ")
    ori_path = r"/home/yjq/Research_data/wurenji_putao/test"                # 输入图片的文件夹路径
    new_path = '/home/yjq/Research_data/wurenji_putao/test/resize'                   # resize之后的文件夹路径
    image_resize(ori_path, new_path)

【python脚本】python代码按帧提取提取视频保存为图片

代码一：

import cv2
import os
#要提取视频的文件名，隐藏后缀
sourceFileName='../wurenji_putao/DJI_0009'
#在这里把后缀接上
video_path = os.path.join("", "", sourceFileName+'.MP4')
times=0
#提取视频的频率，每25帧提取一个
frameFrequency=25
#输出图片到当前目录vedio文件夹下
outPutDirName=''+sourceFileName+'/'
if not os.path.exists(outPutDirName):
    #如果文件目录不存在则创建目录
    os.makedirs(outPutDirName) 
camera = cv2.VideoCapture(video_path)
while True:
    times+=1
    res, image = camera.read()
    if not res:
        print('not res , not image')
        break
    if times%frameFrequency==0:
        cv2.imwrite(outPutDirName + str(times)+'.jpg', image)
        print(outPutDirName + str(times)+'.jpg')
print('图片提取结束')
camera.release()

代码二：

import cv2
vidcap = cv2.VideoCapture('../wureji_putao/DJI_0009.MP4')
success,img = vidcap.read()
count = 0 
success = True
while success :
    success,image = vidcap.read()
    cv2.imwrite("frame%d.jpg" % count, image)
    if cv2.waitKey(10) == 27:
        break
    count += 1
 

代码三：

# import sys
# sys.path.remove('/opt/ros/kinetic/lib/python2.7/dist-packages')
 
import cv2
vc = cv2.VideoCapture('../wurenji_putao/DJI_0010.MP4')  # 读入视频文件，命名cv
n = 1  # 计数
  
if vc.isOpened():  # 判断是否正常打开
    rval, frame = vc.read()
else:
    rval = False
  
timeF = 10  # 视频帧计数间隔频率
  
i = 259
while rval:  # 循环读取视频帧
    rval, frame = vc.read()
    if (n % timeF == 0):  # 每隔timeF帧进行存储操作
        i += 1
        print(i)
        cv2.imwrite('../wurenji_putao/DJI_0010/{}.jpg'.format(i), frame)  # 存储为图像
    n = n + 1
    cv2.waitKey(1)
vc.release()

参考博客：

blog.csdn.net/a486259/art…