自定义像素尺寸：
path1='D:/size/2.jpg' path2='D:/resize/2.jpg' img = cv2.imread(path1) size = (400,500) #注意排序是反的，出来顺序是500*400 img = cv2.resize(img, size) #cv2.imshow('image',img) cv2.imwrite(path2,img)以下将读取文件夹中图片最大宽、高，并统一将文件夹下所有图片的尺寸修改成最大； 命令：python Size.py inputFilePath outputFilePath Size.py
#coding:utf-8 import os import numpy as np import pandas as pd import cv2 import sys #使用sys 模块从外部调用参数 #from make_transparent import * from matplotlib import pyplot as plt inputFilePath = sys.argv[1] outputFilePath = sys.argv[2] def run_size(path): for root, dirs, files in os.walk(path): #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 files.sort(key=lambda x: int(x[:-4])) #文件名按数字顺序排序；从倒数第4个字符开始； print('ImageName:\n', files, '\n') lenfile = len(files) for i in range(lenfile): files[i] = path + files[i] #每个子文件路径 newList = files print('ImagePath:\n', newList, '\n') lslen=len(newList) print('ImageNum:\n', lslen, '\n') imge = {} height = [] width = [] for i in range(lslen): imge[i] = cv2.imread(newList[i], cv2.IMREAD_UNCHANGED) (h,w,c) = imge[i].shape height.append(h) width.append(w) target_height = max(height) target_width = max(width) target_height = np.array(target_height) target_width = np.array(target_width) delta_height = target_height - height delta_width = target_width - width left = np.zeros(lslen) right = np.zeros(lslen) top = np.zeros(lslen) bottom = np.zeros(lslen) for i in range(lslen): if (delta_width[i] % 2) == 0: left[i] = int(delta_width[i]//2) right[i] = left[i] else: left[i] = int(delta_width[i]/2) right[i] = left[i]+1 if (delta_height[i] % 2) == 0: top[i] = int(delta_height[i]//2) bottom[i] = top[i] else: top[i] = int(delta_height[i]/2) bottom[i] = top[i]+1 processedImage = {} for i in range(lslen): processedImage[i] = cv2.copyMakeBorder(imge[i], int(top[i]), int(bottom[i]),int(left[i]), int(right[i]), cv2.BORDER_CONSTANT,(0,0,0,0) ) #输出图片到文件夹 for i in range(lslen): cv2.imwrite((outputFilePath+'/%s.png'%(i+1)),processedImage[i]) run_size(inputFilePath) print("done!\n")