13、随机旋转 transforms.RandomRotation(）

transforms.RandomRotation(degrees, interpolation=<InterpolationMode.NEAREST: 'nearest'>, expand=False, center=None, fill=0, resample=None)
expand:可选扩展标志。如果为true，则扩展输出，使其足够大，以容纳整个旋转图像。如果为false或省略，请使输出图像与输入图像大小相同。

import torchvision.transforms as transform
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
import torch
img0=Image.open('lin-xiao-xun-000003.jpg')
img1=transform.RandomRotation(45)(img0)
img2=transform.RandomRotation(45,expand=True)(img0)
img3=transform.RandomRotation(45,center=(45,45))(img0)
axs = plt.figure().subplots(1, 4)
axs[0].imshow(img0);axs[0].set_title('src');axs[0].axis('off')
axs[1].imshow(img1);axs[1].set_title('45');axs[1].axis('off')
axs[2].imshow(img2);axs[2].set_title('expand');axs[2].axis('off')
axs[3].imshow(img3);axs[3].set_title('center');axs[3].axis('off')
plt.show()

实图演示：