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