RandomResizedCrop in PyTorch (2)

from torchvision.datasets import OxfordIIITPet from torchvision.transforms.v2 import RandomResizedCrop from torchvision.transforms.functional import InterpolationMode origin_data = OxfordIIITPet( root="data", transform=None ) s1000sc0_0r1_1_data = OxfordIIITPet( # `s` is size and `sc` is scale.  root="data", # `r` is ratio.  transform=RandomResizedCrop(size=1000, scale=[0, 0], ratio=[1, 1]) ) s500sc0_0r1_1_data = OxfordIIITPet( root="data", transform=RandomResizedCrop(size=500, scale=[0, 0], ratio=[1, 1]) ) s100sc0_0r1_1_data = OxfordIIITPet( root="data", transform=RandomResizedCrop(size=100, scale=[0, 0], ratio=[1, 1]) ) s50sc0_0r1_1_data = OxfordIIITPet( root="data", transform=RandomResizedCrop(size=50, scale=[0, 0], ratio=[1, 1]) ) s10sc0_0r1_1_data = OxfordIIITPet( root="data", transform=RandomResizedCrop(size=10, scale=[0, 0], ratio=[1, 1]) ) s1sc0_0r1_1_data = OxfordIIITPet( root="data", transform=RandomResizedCrop(size=1, scale=[0, 0], ratio=[1, 1]) ) s600_900sc0_0r1_1_data = OxfordIIITPet( root="data", transform=RandomResizedCrop(size=[600, 900], scale=[0, 0], ratio=[1, 1]) ) s900_600sc0_0r1_1_data = OxfordIIITPet( root="data", transform=RandomResizedCrop(size=[900, 600], scale=[0, 0], ratio=[1, 1]) ) s200_300sc0_0r1_1_data = OxfordIIITPet( root="data", transform=RandomResizedCrop(size=[200, 300], scale=[0, 0], ratio=[1, 1]) ) s300_200sc0_0r1_1_data = OxfordIIITPet( root="data", transform=RandomResizedCrop(size=[300, 200], scale=[0, 0], ratio=[1, 1]) ) import matplotlib.pyplot as plt def 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=s1000sc0_0r1_1_data, main_title="s1000sc0_0r1_1_data") show_images1(data=s500sc0_0r1_1_data, main_title="s500sc0_0r1_1_data") show_images1(data=s100sc0_0r1_1_data, main_title="s100sc0_0r1_1_data") show_images1(data=s50sc0_0r1_1_data, main_title="s50sc0_0r1_1_data") show_images1(data=s10sc0_0r1_1_data, main_title="s10sc0_0r1_1_data") show_images1(data=s1sc0_0r1_1_data, main_title="s1sc0_0r1_1_data") print() show_images1(data=origin_data, main_title="origin_data") show_images1(data=s600_900sc0_0r1_1_data, main_title="s600_900sc0_0r1_1_data") show_images1(data=s900_600sc0_0r1_1_data, main_title="s900_600sc0_0r1_1_data") show_images1(data=s200_300sc0_0r1_1_data, main_title="s200_300sc0_0r1_1_data") show_images1(data=s300_200sc0_0r1_1_data, main_title="s300_200sc0_0r1_1_data") # ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓ def show_images2(data, main_title=None, s=None, sc=(0.08, 1), r=(0.75, 1.3333333333333333), ip=InterpolationMode.BILINEAR, a=True): plt.figure(figsize=[10, 5]) plt.suptitle(t=main_title, y=0.8, fontsize=14) if main_title != "origin_data": for i, (im, _) in zip(range(1, 6), data): plt.subplot(1, 5, i) rrc = RandomResizedCrop(size=s, scale=sc, ratio=r, interpolation=ip, antialias=a) plt.imshow(X=rrc(im)) else: for i, (im, _) in zip(range(1, 6), data): plt.subplot(1, 5, i) plt.imshow(X=im) plt.tight_layout() plt.show() show_images2(data=origin_data, main_title="origin_data") show_images2(data=origin_data, main_title="s1000sc0_0r1_1_data", s=1000, sc=[0, 0], r=[1, 1]) show_images2(data=origin_data, main_title="s500sc0_0r1_1_data", s=500, sc=[0, 0], r=[1, 1]) show_images2(data=origin_data, main_title="s100sc0_0r1_1_data", s=100, sc=[0, 0], r=[1, 1]) show_images2(data=origin_data, main_title="s50sc0_0r1_1_data", s=50, sc=[0, 0], r=[1, 1]) show_images2(data=origin_data, main_title="s10sc0_0r1_1_data", s=10, sc=[0, 0], r=[1, 1]) show_images2(data=origin_data, main_title="s1sc0_0r1_1_data", s=1, sc=[0, 0], r=[1, 1]) print() show_images2(data=origin_data, main_title="origin_data") show_images2(data=origin_data, main_title="s600_900sc0_0r1_1_data", s=[600, 900], sc=[0, 0], r=[1, 1]) show_images2(data=origin_data, main_title="s900_600sc0_0r1_1_data", s=[900, 600], sc=[0, 0], r=[1, 1]) show_images2(data=origin_data, main_title="s200_300sc0_0r1_1_data", s=[200, 300], sc=[0, 0], r=[1, 1]) show_images2(data=origin_data, main_title="s300_200sc0_0r1_1_data", s=[300, 200], sc=[0, 0], r=[1, 1])