Python对图片进行resize、裁剪、旋转、翻转问题

from PIL import Image
import torchvision.transfORMs as transforms
#使用PIL库读入图片并进行resize
def ResizeImage():
    if not os.path.exists(rdir):
        os.makedirs(rdir)
    for i in range(10):
        im = Image.open(dir+str(i)+".jpg")
        im = im.resize((320,240),Image.BILINEAR)  #第一个参数为想要的size，第二个参数为插值方法，双线性插值这里用的是
        im.save('{}/{}.jpg'.format(rdir, i))

#图像随机剪裁和中心剪裁
def crop(lib):
    for i in range(10):
        img = Image.open(lib+"/"+str(i)+".jpg")
        CenterCrop = transforms.CenterCrop((240,320))   #中心裁剪
        cropped_image = CenterCrop(img)  #PIL.Image.Image
        # im=np.array(cropped_image)  #可以将PIL.Image.Image转成ndarry
        #cropped_image.show()    #将图片显示
        cropped_image.save('{}/cen_crop{}.jpg'.format(rdir, i))
        RandomCrop = transforms.RandomCrop(size=(240, 320))  #随机剪裁
        random_image = RandomCrop(img)
        random_image.save('{}/rand_crop{}.jpg'.format(rdir, i))

#随机旋转
def random_rotation(lib):
    for i in range(10):
        img = Image.open(lib+"/"+str(i)+".jpg")
        RR = transforms.RandomRotation(degrees=(10, 80))   #degrees为随机旋转的角度
        rr_image = RR(img)
        rr_image.save('{}/rand_rotation{}.jpg'.format(rdir, i))

#图片依概率翻转,p为翻转的概率
def horizontal_flip(lib):
    for i in range(10):
        img = Image.open(lib+"/"+str(i)+".jpg")
        HF = transforms.RandomHorizontalFlip(p=1.0)  #p为概率，缺省时默认0.5
        hf_image = HF(img)
        hf_image.save('{}/hori_flip{}.jpg'.format(rdir, i))

#encoding=utf-8
#author: walker
#date: 2014-05-15
#function: 更改图片尺寸大小
from PIL import Image
'''
filein: 输入图片
fileout: 输出图片
width: 输出图片宽度
height:输出图片高度
type:输出图片类型（png, gif, jpeg...）
'''
def ResizeImage(filein, fileout, width, height, type):
  img = Image.open(filein)
  out = img.resize((width, height),Image.ANTIALIAS) #resize image with high-quality
  out.save(fileout, type)
if __name__ == "__main__":
  filein = r'0.jpg'
  fileout = r'testout.png'
  width = 6000
  height = 6000
  type = 'png'
  ResizeImage(filein, fileout, width, height, type)