AugMix in PyTorch (4)

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*Memos:

• My post explains AugMix() about no arguments and full argument.
• My post explains AugMix() about severity argument (1).
• My post explains AugMix() about severity argument (2).

AugMix() can randomly do AugMix to an image as shown below. *It's about mixture_width argument (1):

from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import AugMix
from torchvision.transforms.functional import InterpolationMode

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

mw0_data = OxfordIIITPet( # `mw` is mixture_width.
    root="data",
    transform=AugMix(mixture_width=0)
)

mw1_data = OxfordIIITPet(
    root="data",
    transform=AugMix(mixture_width=1)
)

mw2_data = OxfordIIITPet(
    root="data",
    transform=AugMix(mixture_width=2)
)

mw5_data = OxfordIIITPet(
    root="data",
    transform=AugMix(mixture_width=5)
)

mw10_data = OxfordIIITPet(
    root="data",
    transform=AugMix(mixture_width=10)
)

mw25_data = OxfordIIITPet(
    root="data",
    transform=AugMix(mixture_width=25)
)

mw50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(mixture_width=50)
)

s10mw0_data = OxfordIIITPet( # `s` is severity.
    root="data",
    transform=AugMix(severity=10, mixture_width=0)
)

s10mw1_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=10, mixture_width=1)
)

s10mw2_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=10, mixture_width=2)
)

s10mw5_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=10, mixture_width=5)
)

s10mw10_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=10, mixture_width=10)
)

s10mw25_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=10, mixture_width=25)
)

s10mw50_data = OxfordIIITPet(
    root="data",
    transform=AugMix(severity=10, mixture_width=50)
)

mw0cd50_data = OxfordIIITPet( # `cd` is chain_depth.
    root="data",                    
    transform=AugMix(mixture_width=0, chain_depth=50)
)

mw1cd50_data = OxfordIIITPet(
    root="data",                    
    transform=AugMix(mixture_width=1, chain_depth=50)
)

mw2cd50_data = OxfordIIITPet(
    root="data",                    
    transform=AugMix(mixture_width=2, chain_depth=50)
)

mw5cd50_data = OxfordIIITPet(
    root="data",                    
    transform=AugMix(mixture_width=5, chain_depth=50)
)

mw10cd50_data = OxfordIIITPet(
    root="data",                    
    transform=AugMix(mixture_width=10, chain_depth=50)
)

mw25cd50_data = OxfordIIITPet(
    root="data",                    
    transform=AugMix(mixture_width=25, chain_depth=50)
)

mw50cd50_data = OxfordIIITPet(
    root="data",                    
    transform=AugMix(mixture_width=50, chain_depth=50)
)

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=mw0_data, main_title="mw0_data")
show_images1(data=mw1_data, main_title="mw1_data")
show_images1(data=mw2_data, main_title="mw2_data")
show_images1(data=mw5_data, main_title="mw5_data")
show_images1(data=mw10_data, main_title="mw10_data")
show_images1(data=mw25_data, main_title="mw25_data")
show_images1(data=mw50_data, main_title="mw50_data")
print()
show_images1(data=s10mw0_data, main_title="s10mw0_data")
show_images1(data=s10mw1_data, main_title="s10mw1_data")
show_images1(data=s10mw2_data, main_title="s10mw2_data")
show_images1(data=s10mw5_data, main_title="s10mw5_data")
show_images1(data=s10mw10_data, main_title="s10mw10_data")
show_images1(data=s10mw25_data, main_title="s10mw25_data")
show_images1(data=s10mw50_data, main_title="s10mw50_data")
print()
show_images1(data=mw0cd50_data, main_title="mw0cd50_data")
show_images1(data=mw1cd50_data, main_title="mw1cd50_data")
show_images1(data=mw2cd50_data, main_title="mw2cd50_data")
show_images1(data=mw5cd50_data, main_title="mw5cd50_data")
show_images1(data=mw10cd50_data, main_title="mw10cd50_data")
show_images1(data=mw25cd50_data, main_title="mw25cd50_data")
show_images1(data=mw50cd50_data, main_title="mw50cd50_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="mw0_data", mw=0)
show_images2(data=origin_data, main_title="mw1_data", mw=1)
show_images2(data=origin_data, main_title="mw2_data", mw=2)
show_images2(data=origin_data, main_title="mw5_data", mw=5)
show_images2(data=origin_data, main_title="mw10_data", mw=10)
show_images2(data=origin_data, main_title="mw25_data", mw=25)
show_images2(data=origin_data, main_title="mw50_data", mw=50)
print()
show_images2(data=origin_data, main_title="s10mw0_data", s=10, mw=0)
show_images2(data=origin_data, main_title="s10mw1_data", s=10, mw=1)
show_images2(data=origin_data, main_title="s10mw2_data", s=10, mw=2)
show_images2(data=origin_data, main_title="s10mw5_data", s=10, mw=5)
show_images2(data=origin_data, main_title="s10mw10_data", s=10, mw=10)
show_images2(data=origin_data, main_title="s10mw25_data", s=10, mw=25)
show_images2(data=origin_data, main_title="s10mw50_data", s=10, mw=50)
print()
show_images2(data=origin_data, main_title="mw0cd50_data", mw=0, cd=50)
show_images2(data=origin_data, main_title="mw1cd50_data", mw=1, cd=50)
show_images2(data=origin_data, main_title="mw2cd50_data", mw=2, cd=50)
show_images2(data=origin_data, main_title="mw5cd50_data", mw=5, cd=50)
show_images2(data=origin_data, main_title="mw10cd50_data", mw=10, cd=50)
show_images2(data=origin_data, main_title="mw25cd50_data", mw=25, cd=50)
show_images2(data=origin_data, main_title="mw50cd50_data", mw=50, cd=50)

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