RandomResizedCrop in PyTorch (2)

#python #pytorch #randomresizedcrop #v2
*Memos:
My post explains RandomResizedCrop() without ratio argument.
My post explains OxfordIIITPet().
RandomResizedCrop() can crop a random part of an image, then resize it to a given size as shown below:
from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import RandomResizedCrop
from torchvision.transforms.functional import InterpolationMode

origin_data = OxfordIIITPet(
    root="data",
    transform=None
)

s100r1_1origin_data = OxfordIIITPet( # `s` is size and `r` is ratio.
    root="data",
    transform=RandomResizedCrop(size=1000)
    # transform=RandomResizedCrop(size=[1000])
    # transform=RandomResizedCrop(size=[1000, 1000])
)

s100r01_10_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.1, 10])
)

s100r01_1_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.1, 1])
)

s100r1_10_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[1, 10])
)

s100r09_09_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.9, 0.9])
)

s100r08_08_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.8, 0.8])
)

s100r07_07_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.7, 0.7])
)

s100r06_06_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.6, 0.6])
)

s100r05_05_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.5, 0.5])
)

s100r04_04_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.4, 0.4])
)

s100r03_03_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.3, 0.3])
)

s100r02_02_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.2, 0.2])
)

s100r01_01_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.1, 0.1])
)

s100r001_001_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.01, 0.01])
)

s100r0001_0001_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.001, 0.001])
)

s100r00001_00001_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[0.0001, 0.0001])
)

s100r2_2_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[2, 2])
)

s100r3_3_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[3, 3])
)

s100r4_4_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[4, 4])
)

s100r5_5_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[5, 5])
)

s100r6_6_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[6, 6])
)

s100r7_7_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[7, 7])
)

s100r8_8_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[8, 8])
)

s100r9_9_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[9, 9])
)

s100r10_10_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[10, 10])
)

s100r100_100_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[100, 100])
)

s100r1000_1000_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[1000, 1000])
)

s100r10000_10000_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=100, ratio=[10000, 10000])
)

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=s100r1_1origin_data, main_title="s100r1_1origin_data")
show_images1(data=s100r01_10_data, main_title="s100r01_10_data")
show_images1(data=s100r01_1_data, main_title="s100r01_1_data")
show_images1(data=s100r1_10_data, main_title="s100r1_10_data")
print()
show_images1(data=s100r1_1origin_data, main_title="s100r1_1origin_data")
show_images1(data=s100r09_09_data, main_title="s100r09_09_data ")
show_images1(data=s100r08_08_data, main_title="s100r08_08_data")
show_images1(data=s100r07_07_data, main_title="s100r07_07_data")
show_images1(data=s100r06_06_data, main_title="s100r06_06_data")
show_images1(data=s100r05_05_data, main_title="s100r05_05_data")
show_images1(data=s100r04_04_data, main_title="s100r04_04_data")
show_images1(data=s100r03_03_data, main_title="s100r03_03_data")
show_images1(data=s100r02_02_data, main_title="s100r02_02_data")
show_images1(data=s100r01_01_data, main_title="s100r01_01_data")
show_images1(data=s100r001_001_data, main_title="s100r001_001_data")
show_images1(data=s100r0001_0001_data, main_title="s100r0001_0001_data")
show_images1(data=s100r00001_00001_data, main_title="s100r00001_00001_data")
print()
show_images1(data=s100r1_1origin_data, main_title="s100r1_1origin_data")
show_images1(data=s100r2_2_data, main_title="s100r2_2_data")
show_images1(data=s100r3_3_data, main_title="s100r3_3_data")
show_images1(data=s100r4_4_data, main_title="s100r4_4_data")
show_images1(data=s100r5_5_data, main_title="s100r5_5_data")
show_images1(data=s100r6_6_data, main_title="s100r6_6_data")
show_images1(data=s100r7_7_data, main_title="s100r7_7_data")
show_images1(data=s100r8_8_data, main_title="s100r8_8_data")
show_images1(data=s100r9_9_data, main_title="s100r9_9_data")
show_images1(data=s100r10_10_data, main_title="s100r10_10_data")
show_images1(data=s100r100_100_data, main_title="s100r100_100_data")
show_images1(data=s100r1000_1000_data, main_title="s100r1000_1000_data")
show_images1(data=s100r10000_10000_data, main_title="s100r10000_10000_data")

# ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓ 
def show_images2(data, main_title=None, s=None, sc=(0.08, 1.0),
                 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)
    for i, (im, _) in zip(range(1, 6), data):
        plt.subplot(1, 5, i)
        if s:
            rrc = RandomResizedCrop(size=s, scale=sc, # Here
                                    ratio=r, interpolation=ip,
                                    antialias=a)
            plt.imshow(X=rrc(im)) # Here
        else:
            plt.imshow(X=im)
    plt.tight_layout()
    plt.show()

show_images2(data=origin_data, main_title="s100r1_1origin_data", s=100,  
             r=[1, 1])
show_images2(data=origin_data, main_title="s100r01_10_data", s=100,
             r=[0.1, 10])
show_images2(data=origin_data, main_title="s100r01_1_data", s=100, r=[0.1, 1])
show_images2(data=origin_data, main_title="s100r1_10_data", s=100, r=[1, 10])
print()
show_images2(data=origin_data, main_title="s100r1_1origin_data", s=100,
             r=[1, 1])
show_images2(data=origin_data, main_title="s100r09_09_data", s=100,
             r=[0.9, 0.9])
show_images2(data=origin_data, main_title="s100r08_08_data", s=100,
             r=[0.8, 0.8])
show_images2(data=origin_data, main_title="s100r07_07_data", s=100,
             r=[0.7, 0.7])
show_images2(data=origin_data, main_title="s100r06_06_data", s=100,
             r=[0.6, 0.6])
show_images2(data=origin_data, main_title="s100r05_05_data", s=100,
             r=[0.5, 0.5])
show_images2(data=origin_data, main_title="s100r04_04_data", s=100,
             r=[0.4, 0.4])
show_images2(data=origin_data, main_title="s100r03_03_data", s=100,
             r=[0.3, 0.3])
show_images2(data=origin_data, main_title="s100r02_02_data", s=100,
             r=[0.2, 0.2])
show_images2(data=origin_data, main_title="s100r01_01_data", s=100,
             r=[0.1, 0.1])
show_images2(data=origin_data, main_title="s100r001_001_data", s=100,
             r=[0.01, 0.01])
show_images2(data=origin_data, main_title="s100r0001_0001_data", s=100,
             r=[0.001, 0.001])
show_images2(data=origin_data, main_title="s100r00001_00001_data", s=100,
             r=[0.0001, 0.0001])
print()
show_images2(data=origin_data, main_title="s100r1_1origin_data", s=100,
             r=[1, 1])
show_images2(data=origin_data, main_title="s100r2_2_data", s=100, r=[2, 2])
show_images2(data=origin_data, main_title="s100r3_3_data", s=100, r=[3, 3])
show_images2(data=origin_data, main_title="s100r4_4_data", s=100, r=[4, 4])
show_images2(data=origin_data, main_title="s100r5_5_data", s=100, r=[5, 5])
show_images2(data=origin_data, main_title="s100r6_6_data", s=100, r=[6, 6])
show_images2(data=origin_data, main_title="s100r7_7_data", s=100, r=[7, 7])
show_images2(data=origin_data, main_title="s100r8_8_data", s=100, r=[8, 8])
show_images2(data=origin_data, main_title="s100r9_9_data", s=100, r=[9, 9])
show_images2(data=origin_data, main_title="s100r10_10_data", s=100, r=[10, 10])
show_images2(data=origin_data, main_title="s100r100_100_data", s=100,
             r=[100, 100])
show_images2(data=origin_data, main_title="s100r1000_1000_data", s=100,
             r=[1000, 1000])
show_images2(data=origin_data, main_title="s100r10000_10000_data", s=100,
             r=[10000, 10000])