AugMix in PyTorch (3)

#python #pytorch #augmix #v2
*Memos:
My post explains AugMix() about no arguments and full argument.
My post explains AugMix() about severity argument (1).
AugMix() can randomly do AugMix to an image as shown below. *It's about severity argument (2):
from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import AugMix
from torchvision.transforms.functional import InterpolationMode

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

s1a50_data = OxfordIIITPet( # `s` is severity and `a` is alpha.
    root="data",
    transform=AugMix(severity=1, alpha=50.0)
)

s2a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=2, alpha=50.0)
)

s3a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=3, alpha=50.0)
)

s4a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=4, alpha=50.0)
)

s5a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=5, alpha=50.0)
)

s6a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=6, alpha=50.0)
)

s7a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=7, alpha=50.0)
)

s8a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=8, alpha=50.0)
)

s9a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=9, alpha=50.0)
)

s10a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=10, alpha=50.0)
)

s1mw50cd50a50_data = OxfordIIITPet( # `mw` is mixture_width.
    root="data",                    # `cd` is chain_depth.
    transform=AugMix(severity=1, mixture_width=50, chain_depth=50,
                     alpha=50.0)
)

s2mw50cd50a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=2, mixture_width=50, chain_depth=50,
                     alpha=50.0)
)

s3mw50cd50a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=3, mixture_width=50, chain_depth=50,
                     alpha=50.0)
)

s4mw50cd50a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=4, mixture_width=50, chain_depth=50,
                     alpha=50.0)
)

s5mw50cd50a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=5, mixture_width=50, chain_depth=50,
                     alpha=50.0)
)

s6mw50cd50a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=6, mixture_width=50, chain_depth=50,
                     alpha=50.0)
)

s7mw50cd50a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=7, mixture_width=50, chain_depth=50,
                     alpha=50.0)
)

s8mw50cd50a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=8, mixture_width=50, chain_depth=50,
                     alpha=50.0)
)

s9mw50cd50a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=9, mixture_width=50, chain_depth=50,
                     alpha=50.0)
)

s10mw50cd50a50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=10, mixture_width=50, chain_depth=50,
                     alpha=50.0)
)

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.xticks(ticks=[])
        plt.yticks(ticks=[])
    plt.tight_layout()
    plt.show()

show_images1(data=origin_data, main_title="origin_data")
print()
show_images1(data=s1a50_data, main_title="s1a50_data")
show_images1(data=s2a50_data, main_title="s2a50_data")
show_images1(data=s3a50_data, main_title="s3a50_data")
show_images1(data=s4a50_data, main_title="s4a50_data")
show_images1(data=s5a50_data, main_title="s5a50_data")
show_images1(data=s6a50_data, main_title="s6a50_data")
show_images1(data=s7a50_data, main_title="s7a50_data")
show_images1(data=s8a50_data, main_title="s8a50_data")
show_images1(data=s9a50_data, main_title="s9a50_data")
show_images1(data=s10a50_data, main_title="s10a50_data")
print()
show_images1(data=s1mw50cd50a50_data, main_title="s1mw50cd50a50_data")
show_images1(data=s2mw50cd50a50_data, main_title="s2mw50cd50a50_data")
show_images1(data=s3mw50cd50a50_data, main_title="s3mw50cd50a50_data")
show_images1(data=s4mw50cd50a50_data, main_title="s4mw50cd50a50_data")
show_images1(data=s5mw50cd50a50_data, main_title="s5mw50cd50a50_data")
show_images1(data=s6mw50cd50a50_data, main_title="s6mw50cd50a50_data")
show_images1(data=s7mw50cd50a50_data, main_title="s7mw50cd50a50_data")
show_images1(data=s8mw50cd50a50_data, main_title="s8mw50cd50a50_data")
show_images1(data=s9mw50cd50a50_data, main_title="s9mw50cd50a50_data")
show_images1(data=s10mw50cd50a50_data, main_title="s10mw50cd50a50_data")

# ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓
def show_images2(data, main_title=None, s=3, mw=3, cd=-1, a=1.0,
                 ao=True, ip=InterpolationMode.BILINEAR, f=None):
    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)
            am = AugMix(severity=s, mixture_width=mw, chain_depth=cd,
                        alpha=a, all_ops=ao, interpolation=ip, fill=f)
            plt.imshow(X=am(im))
            plt.xticks(ticks=[])
            plt.yticks(ticks=[])
    else:
        for i, (im, _) in zip(range(1, 6), data):
            plt.subplot(1, 5, i)
            plt.imshow(X=im)
            plt.xticks(ticks=[])
            plt.yticks(ticks=[])
    plt.tight_layout()
    plt.show()

show_images2(data=origin_data, main_title="origin_data")
print()
show_images2(data=origin_data, main_title="s1a50_data", s=1, a=50.0)
show_images2(data=origin_data, main_title="s2a50_data", s=2, a=50.0)
show_images2(data=origin_data, main_title="s3a50_data", s=3, a=50.0)
show_images2(data=origin_data, main_title="s4a50_data", s=4, a=50.0)
show_images2(data=origin_data, main_title="s5a50_data", s=5, a=50.0)
show_images2(data=origin_data, main_title="s6a50_data", s=6, a=50.0)
show_images2(data=origin_data, main_title="s7a50_data", s=7, a=50.0)
show_images2(data=origin_data, main_title="s8a50_data", s=8, a=50.0)
show_images2(data=origin_data, main_title="s9a50_data", s=9, a=50.0)
show_images2(data=origin_data, main_title="s10a50_data", s=10, a=50.0)
print()
show_images2(data=origin_data, main_title="s1mw50cd50a50_data", s=1, mw=50,
             cd=50, a=50.0)
show_images2(data=origin_data, main_title="s2mw50cd50a50_data", s=2, mw=50,
             cd=50, a=50.0)
show_images2(data=origin_data, main_title="s3mw50cd50a50_data", s=3, mw=50,
             cd=50, a=50.0)
show_images2(data=origin_data, main_title="s4mw50cd50a50_data", s=4, mw=50,
             cd=50, a=50.0)
show_images2(data=origin_data, main_title="s5mw50cd50a50_data", s=5, mw=50,
             cd=50, a=50.0)
show_images2(data=origin_data, main_title="s6mw50cd50a50_data", s=6, mw=50,
             cd=50, a=50.0)
show_images2(data=origin_data, main_title="s7mw50cd50a50_data", s=7, mw=50,
             cd=50, a=50.0)
show_images2(data=origin_data, main_title="s8mw50cd50a50_data", s=8, mw=50,
             cd=50, a=50.0)
show_images2(data=origin_data, main_title="s9mw50cd50a50_data", s=9, mw=50,
             cd=50, a=50.0)
show_images2(data=origin_data, main_title="s10mw50cd50a50_data", s=10, mw=50,
             cd=50, a=50.0)