AugMix in PyTorch (5)

from torchvision.datasets import OxfordIIITPet from torchvision.transforms.v2 import AugMix from torchvision.transforms.functional import InterpolationMode origin_data = OxfordIIITPet( root="data", transform=None ) mw0a50_data = OxfordIIITPet( # `mw` is mixture_width and `a` is alpha.  root="data", transform=AugMix(mixture_width=0, alpha=50.0) ) mw1a50_data = OxfordIIITPet( root="data", transform=AugMix(mixture_width=1, alpha=50.0) ) mw2a50_data = OxfordIIITPet( root="data", transform=AugMix(mixture_width=2, alpha=50.0) ) mw5a50_data = OxfordIIITPet( root="data", transform=AugMix(mixture_width=5, alpha=50.0) ) mw10a50_data = OxfordIIITPet( root="data", transform=AugMix(mixture_width=10, alpha=50.0) ) mw25a50_data = OxfordIIITPet( root="data", transform=AugMix(mixture_width=25, alpha=50.0) ) mw50a50_data = OxfordIIITPet( root="data", transform=AugMix(mixture_width=50, alpha=50.0) ) s10mw0cd50a50_data = OxfordIIITPet( # `s` is severity and `cd` is chain_depth.  root="data", transform=AugMix(severity=10, mixture_width=0, chain_depth=50, alpha=50.0) ) s10mw1cd50a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=1, chain_depth=50, alpha=50.0) ) s10mw2cd50a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=2, chain_depth=50, alpha=50.0) ) s10mw5cd50a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=5, chain_depth=50, alpha=50.0) ) s10mw10cd50a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=10, chain_depth=50, alpha=50.0) ) s10mw25cd50a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=25, chain_depth=50, alpha=50.0) ) s10mw50cd50a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=50, chain_depth=50, alpha=50.0) ) s1mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=0, chain_depth=0, alpha=0.0) ) s2mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=2, mixture_width=0, chain_depth=0, alpha=0.0) ) s3mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=3, mixture_width=0, chain_depth=0, alpha=0.0) ) s4mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=4, mixture_width=0, chain_depth=0, alpha=0.0) ) s5mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=5, mixture_width=0, chain_depth=0, alpha=0.0) ) s6mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=6, mixture_width=0, chain_depth=0, alpha=0.0) ) s7mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=7, mixture_width=0, chain_depth=0, alpha=0.0) ) s8mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=8, mixture_width=0, chain_depth=0, alpha=0.0) ) s9mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=9, mixture_width=0, chain_depth=0, alpha=0.0) ) s10mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=0, chain_depth=0, alpha=0.0) ) s1mw0cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=0, chain_depth=0, alpha=0.0) ) s1mw1cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=1, chain_depth=0, alpha=0.0) ) s1mw2cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=2, chain_depth=0, alpha=0.0) ) s1mw5cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=5, chain_depth=0, alpha=0.0) ) s1mw10cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=10, chain_depth=0, alpha=0.0) ) s1mw25cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=25, chain_depth=0, alpha=0.0) ) s1mw50cd0a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=50, chain_depth=0, alpha=0.0) ) 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=mw0a50_data, main_title="mw0a50_data") show_images1(data=mw1a50_data, main_title="mw1a50_data") show_images1(data=mw2a50_data, main_title="mw2a50_data") show_images1(data=mw5a50_data, main_title="mw5a50_data") show_images1(data=mw10a50_data, main_title="mw10a50_data") show_images1(data=mw25a50_data, main_title="mw25a50_data") show_images1(data=mw50a50_data, main_title="mw50a50_data") print() show_images1(data=s10mw0cd50a50_data, main_title="s10mw0cd50a50_data") show_images1(data=s10mw1cd50a50_data, main_title="s10mw1cd50a50_data") show_images1(data=s10mw2cd50a50_data, main_title="s10mw2cd50a50_data") show_images1(data=s10mw5cd50a50_data, main_title="s10mw5cd50a50_data") show_images1(data=s10mw10cd50a50_data, main_title="s10mw10cd50a50_data") show_images1(data=s10mw25cd50a50_data, main_title="s10mw25cd50a50_data") show_images1(data=s10mw50cd50a50_data, main_title="s10mw50cd50a50_data") print() show_images1(data=s1mw0cd0a0_data, main_title="s1mw0cd0a0_data") show_images1(data=s1mw1cd0a0_data, main_title="s1mw1cd0a0_data") show_images1(data=s1mw2cd0a0_data, main_title="s1mw2cd0a0_data") show_images1(data=s1mw5cd0a0_data, main_title="s1mw5cd0a0_data") show_images1(data=s1mw10cd0a0_data, main_title="s1mw10cd0a0_data") show_images1(data=s1mw25cd0a0_data, main_title="s1mw25cd0a0_data") show_images1(data=s1mw50cd0a0_data, main_title="s1mw50cd0a0_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="mw0a50_data", mw=0, a=50.0) show_images2(data=origin_data, main_title="mw1a50_data", mw=1, a=50.0) show_images2(data=origin_data, main_title="mw2a50_data", mw=2, a=50.0) show_images2(data=origin_data, main_title="mw5a50_data", mw=5, a=50.0) show_images2(data=origin_data, main_title="mw10a50_data", mw=10, a=50.0) show_images2(data=origin_data, main_title="mw25a50_data", mw=25, a=50.0) show_images2(data=origin_data, main_title="mw50a50_data", mw=50, a=50.0) print() show_images2(data=origin_data, main_title="s10mw0cd50a50_data", s=10, mw=0, cd=50, a=50.0) show_images2(data=origin_data, main_title="s10mw1cd50a50_data", s=10, mw=1, cd=50, a=50.0) show_images2(data=origin_data, main_title="s10mw2cd50a50_data", s=10, mw=2, cd=50, a=50.0) show_images2(data=origin_data, main_title="s10mw5cd50a50_data", s=10, mw=5, cd=50, a=50.0) show_images2(data=origin_data, main_title="s10mw10cd50a50_data", s=10, mw=10, cd=50, a=50.0) show_images2(data=origin_data, main_title="s10mw25cd50a50_data", s=10, mw=25, cd=50, a=50.0) show_images2(data=origin_data, main_title="s10mw50cd50a50_data", s=10, mw=50, cd=50, a=50.0) print() show_images2(data=origin_data, main_title="s1mw0cd0a0_data", s=1, mw=0, cd=0, a=0.0) show_images2(data=origin_data, main_title="s1mw1cd0a0_data", s=1, mw=1, cd=0, a=0.0) show_images2(data=origin_data, main_title="s1mw2cd0a0_data", s=1, mw=2, cd=0, a=0.0) show_images2(data=origin_data, main_title="s1mw5cd0a0_data", s=1, mw=5, cd=0, a=0.0) show_images2(data=origin_data, main_title="s1mw10cd0a0_data", s=1, mw=10, cd=0, a=0.0) show_images2(data=origin_data, main_title="s1mw25cd0a0_data", s=1, mw=25, cd=0, a=0.0) show_images2(data=origin_data, main_title="s1mw50cd0a0_data", s=1, mw=50, cd=0, a=0.0)