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pyton opencv读取文件夹图像批量化resize

作者:互联网

 

 

# -*- coding: utf-8 -*-

import os

def file_name(file_dir):
    for root, dirs, files in os.walk(file_dir):
        #print(root) #当前目录路径
        #print(dirs) #当前路径下所有子目录
        #print(files) #当前路径下所有非目录子文件
        return files

imgpath="C:/Users/dongdong/Desktop/标定图/img/"
files=file_name(imgpath)

'''
for path_i in files:
    print(path_i)
'''

import cv2

i=0
for path_i in files:
    #imgpath_i=imgpath+path_i
    imgpath_i="./img/"+path_i
    #print(imgpath_i)
    

    img = cv2.imread(str(imgpath_i), 1)  # 参数1表示以彩色图像读取
    if img is None:    # 检查路径是否正确
        print(imgpath_i +' is not exist!')
        continue

    i=i+1
   
    img_resize_name ="./img_resize/" +str(i)+".jpg"
    img_resize = cv2.resize(img, (1920, 1080))  # 注意x,y的顺序不要写满
    cv2.imwrite(img_resize_name, img_resize)

    print(img_resize_name,"保存完毕")

  

标签:files,img,pyton,imgpath,opencv,print,path,resize
来源: https://www.cnblogs.com/gooutlook/p/15249293.html