python实现原图裁剪为固定尺寸小图的具体代码，供大家参考，具体内容如下

讲解

1、代码效果：实现原图裁剪为固定尺寸小图

代码

import numpy as npimport pandas as pdimport osimport torch as timport torchvision.transforms.functional as fffrom torch.utils.data import Datasetfrom PIL import Imageimport torchvision.transforms as transformsimport cfgdef center_crop(data, crop_size): data = ff.center_crop(data, crop_size) return datadef img_crop(img): higth, width = img.size w = 100 id = 1 i = 0 while (i + w <= higth): j = 0 while (j + w <= width): new_img = img.crop((i, j, i + w, j + w)) rename = r""#小图存放路径 new_img.save(rename + str(id) + ".png", quality=95)#小图保存 id += 1 j += 100 print(new_img) i += 100if __name__ == "__main__": path = r''#待处理图像 crop_size = [500, 500]#中心裁剪为500X500图像便于后面裁剪小图 img = Image.open(path) print(img) img = center_crop(img, crop_size) print(img) img_crop(img)

运算结果

运行前

运行过程

运行结果

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