Pytorch的中心牛

from torchvision.datasets import OxfordIIITPetfrom torchvision.transforms.v2 import CenterCropcentercrop = CenterCrop(size=100)centercrop# CenterCrop(size=(100, 100))centercrop.size# (100, 100)origin_data = OxfordIIITPet(    root="data",    transform=None)s600_data = OxfordIIITPet( # `s` is size.    root="data",    transform=CenterCrop(size=600)    # transform=CenterCrop(size=[600])    # transform=CenterCrop(size=[600, 600]))s400_data = OxfordIIITPet(    root="data",    transform=CenterCrop(size=400))s200_data = OxfordIIITPet(    root="data",    transform=CenterCrop(size=200))s100_data = OxfordIIITPet(    root="data",    transform=CenterCrop(size=100))s50_data = OxfordIIITPet(    root="data",    transform=CenterCrop(size=50))s10_data = OxfordIIITPet(    root="data",    transform=CenterCrop(size=10))s1_data = OxfordIIITPet(    root="data",    transform=CenterCrop(size=1))s200_300_data = OxfordIIITPet(    root="data",    transform=CenterCrop(size=[200, 300]))s300_200_data = OxfordIIITPet(    root="data",    transform=CenterCrop(size=[300, 200]))import matplotlib.pyplot as pltdef show_images1(data, main_title=None):    plt.figure(figsize=[10, 5])    plt.suptitle(t=main_title, y=0.8, fontsize=14)    for i, (im, _) in zip(range(1, 6), data):        plt.subplot(1, 5, i)        plt.imshow(X=im)    plt.tight_layout()    plt.show()show_images1(data=origin_data, main_title="origin_data")show_images1(data=s600_data, main_title="s600_data")show_images1(data=s400_data, main_title="s400_data")show_images1(data=s200_data, main_title="s200_data")show_images1(data=s100_data, main_title="s100_data")show_images1(data=s50_data, main_title="s50_data")show_images1(data=s10_data, main_title="s10_data")show_images1(data=s1_data, main_title="s1_data")print()show_images1(data=origin_data, main_title="origin_data")show_images1(data=s200_300_data, main_title="s200_300_data")show_images1(data=s300_200_data, main_title="s300_200_data")# ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓def show_images2(data, main_title=None, s=None):    plt.figure(figsize=[10, 5])    plt.suptitle(t=main_title, y=0.8, fontsize=14)    temp_s = s    for i, (im, _) in zip(range(1, 6), data):        plt.subplot(1, 5, i)        if not temp_s:            s = [im.size[1], im.size[0]]        cc = CenterCrop(size=s) # Here        plt.imshow(X=cc(im)) # Here    plt.tight_layout()    plt.show()show_images2(data=origin_data, main_title="origin_data")show_images2(data=origin_data, main_title="s600_data", s=600)show_images2(data=origin_data, main_title="s400_data", s=400)show_images2(data=origin_data, main_title="s200_data", s=200)show_images2(data=origin_data, main_title="s100_data", s=100)show_images2(data=origin_data, main_title="s50_data", s=50)show_images2(data=origin_data, main_title="s10_data", s=10)show_images2(data=origin_data, main_title="s1_data", s=1)print()show_images2(data=origin_data, main_title="origin_data")show_images2(data=origin_data, main_title="s200_300_data", s=[200, 300])show_images2(data=origin_data, main_title="s300_200_data", s=[300, 200])