Pytorch中的Fivecrop

from torchvision.datasets import OxfordIIITPetfrom torchvision.transforms.v2 import FiveCropfivecrop = FiveCrop(size=100)fivecrop# FiveCrop(size=(100, 100))fivecrop.size# (100, 100)origin_data = OxfordIIITPet(    root="data",    transform=None)s500_394origin_data = OxfordIIITPet( # `s` is size.    root="data",    transform=FiveCrop(size=[500, 394]))s300_data = OxfordIIITPet(    root="data",    transform=FiveCrop(size=300))s200_data = OxfordIIITPet(    root="data",    transform=FiveCrop(size=200))s100_data = OxfordIIITPet(    root="data",    transform=FiveCrop(size=100))s50_data = OxfordIIITPet(    root="data",    transform=FiveCrop(size=50))s10_data = OxfordIIITPet(    root="data",    transform=FiveCrop(size=10))s1_data = OxfordIIITPet(    root="data",    transform=FiveCrop(size=1))s200_300_data = OxfordIIITPet(    root="data",    transform=FiveCrop(size=[200, 300]))s300_200_data = OxfordIIITPet(    root="data",    transform=FiveCrop(size=[300, 200]))import matplotlib.pyplot as pltdef show_images1(fcims, main_title=None):    plt.figure(figsize=[10, 5])    plt.suptitle(t=main_title, y=0.8, fontsize=14)    titles = ['Top-left', 'Top-right', 'Bottom-left',              'Bottom-right', 'Center']    for i, fcim in zip(range(1, 6), fcims):        plt.subplot(1, 5, i)        plt.title(label=titles[i-1], fontsize=14)        plt.imshow(X=fcim)    plt.tight_layout()    plt.show()plt.figure(figsize=(7, 9))plt.title(label="s500_394origin_data", fontsize=14)plt.imshow(X=origin_data[0][0])show_images1(fcims=s500_394origin_data[0][0], main_title="s500_394origin_data")show_images1(fcims=s300_data[0][0], main_title="s300_data")show_images1(fcims=s200_data[0][0], main_title="s200_data")show_images1(fcims=s100_data[0][0], main_title="s100_data")show_images1(fcims=s50_data[0][0], main_title="s50_data")show_images1(fcims=s10_data[0][0], main_title="s10_data")show_images1(fcims=s1_data[0][0], main_title="s1_data")show_images1(fcims=s200_300_data[0][0], main_title="s200_300_data")show_images1(fcims=s300_200_data[0][0], main_title="s300_200_data")# ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓def show_images2(im, main_title=None, s=None):    plt.figure(figsize=[10, 5])    plt.suptitle(t=main_title, y=0.8, fontsize=14)    titles = ['Top-left', 'Top-right', 'Bottom-left',              'Bottom-right', 'Center']    if not s:        s = [im.size[1], im.size[0]]     fc = FiveCrop(size=s) # Here    for i, fcim in zip(range(1, 6), fc(im)):        plt.subplot(1, 5, i)        plt.title(label=titles[i-1], fontsize=14)        plt.imshow(X=fcim) # Here    plt.tight_layout()    plt.show()plt.figure(figsize=(7, 9))plt.title(label="s500_394origin_data", fontsize=14)plt.imshow(X=origin_data[0][0])show_images2(im=origin_data[0][0], main_title="s500_394origin_data")# show_images2(im=origin_data[0][0], main_title="s500_394origin_data",#              s=[500, 394])show_images2(im=origin_data[0][0], main_title="s300_data", s=300)show_images2(im=origin_data[0][0], main_title="s200_data", s=200)show_images2(im=origin_data[0][0], main_title="s100_data", s=100)show_images2(im=origin_data[0][0], main_title="s50_data", s=50)show_images2(im=origin_data[0][0], main_title="s10_data", s=10)show_images2(im=origin_data[0][0], main_title="s1_data", s=1)show_images2(im=origin_data[0][0], main_title="s200_300_data", s=[200, 300])show_images2(im=origin_data[0][0], main_title="s300_200_data", s=[300, 200])