AugMix in PyTorch (7)

from torchvision.datasets import OxfordIIITPet from torchvision.transforms.v2 import AugMix from torchvision.transforms.functional import InterpolationMode origin_data = OxfordIIITPet( root="data", transform=None ) cd0a50_data = OxfordIIITPet( # `cd` is chain_depth and `a` is alpha.  root="data", transform=AugMix(chain_depth=0, alpha=50.0) ) cd1a50_data = OxfordIIITPet( root="data", transform=AugMix(chain_depth=1, alpha=50.0) ) cd2a50_data = OxfordIIITPet( root="data", transform=AugMix(chain_depth=2, alpha=50.0) ) cd5a50_data = OxfordIIITPet( root="data", transform=AugMix(chain_depth=5, alpha=50.0) ) cd10a50_data = OxfordIIITPet( root="data", transform=AugMix(chain_depth=10, alpha=50.0) ) cd25a50_data = OxfordIIITPet( root="data", transform=AugMix(chain_depth=25, alpha=50.0) ) cd50a50_data = OxfordIIITPet( root="data", transform=AugMix(chain_depth=50, alpha=50.0) ) s10mw50cd0a50_data = OxfordIIITPet( # `s` is severity.  root="data", # `mw` is mixture_width.  transform=AugMix(severity=10, mixture_width=50, chain_depth=0, alpha=50.0) ) s10mw50cd1a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=50, chain_depth=1, alpha=50.0) ) s10mw50cd2a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=50, chain_depth=2, alpha=50.0) ) s10mw50cd5a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=50, chain_depth=5, alpha=50.0) ) s10mw50cd10a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=50, chain_depth=10, alpha=50.0) ) s10mw50cd25a50_data = OxfordIIITPet( root="data", transform=AugMix(severity=10, mixture_width=50, chain_depth=25, 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) ) s1mw0cd1a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=0, chain_depth=1, alpha=0.0) ) s1mw0cd2a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=0, chain_depth=2, alpha=0.0) ) s1mw0cd5a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=0, chain_depth=5, alpha=0.0) ) s1mw0cd10a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=0, chain_depth=10, alpha=0.0) ) s1mw0cd25a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=0, chain_depth=25, alpha=0.0) ) s1mw0cd50a0_data = OxfordIIITPet( root="data", transform=AugMix(severity=1, mixture_width=0, chain_depth=50, 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=cd0a50_data, main_title="cd0a50_data") show_images1(data=cd1a50_data, main_title="cd1a50_data") show_images1(data=cd2a50_data, main_title="cd2a50_data") show_images1(data=cd5a50_data, main_title="cd5a50_data") show_images1(data=cd10a50_data, main_title="cd10a50_data") show_images1(data=cd25a50_data, main_title="cd25a50_data") show_images1(data=cd50a50_data, main_title="cd50a50_data") print() show_images1(data=s10mw50cd0a50_data, main_title="s10mw50cd0a50_data") show_images1(data=s10mw50cd1a50_data, main_title="s10mw50cd1a50_data") show_images1(data=s10mw50cd2a50_data, main_title="s10mw50cd2a50_data") show_images1(data=s10mw50cd5a50_data, main_title="s10mw50cd5a50_data") show_images1(data=s10mw50cd10a50_data, main_title="s10mw50cd10a50_data") show_images1(data=s10mw50cd25a50_data, main_title="s10mw50cd25a50_data") show_images1(data=s10mw50cd50a50_data, main_title="s10mw50cd50a50_data") print() show_images1(data=s1mw0cd0a0_data, main_title="s1mw0cd0a0_data") show_images1(data=s1mw0cd1a0_data, main_title="s1mw0cd1a0_data") show_images1(data=s1mw0cd2a0_data, main_title="s1mw0cd2a0_data") show_images1(data=s1mw0cd5a0_data, main_title="s1mw0cd5a0_data") show_images1(data=s1mw0cd10a0_data, main_title="s1mw0cd10a0_data") show_images1(data=s1mw0cd25a0_data, main_title="s1mw0cd25a0_data") show_images1(data=s1mw0cd50a0_data, main_title="s1mw0cd50a0_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="cd0a50_data", cd=0, a=50.0) show_images2(data=origin_data, main_title="cd1a50_data", cd=1, a=50.0) show_images2(data=origin_data, main_title="cd2a50_data", cd=2, a=50.0) show_images2(data=origin_data, main_title="cd5a50_data", cd=5, a=50.0) show_images2(data=origin_data, main_title="cd10a50_data", cd=10, a=50.0) show_images2(data=origin_data, main_title="cd25a50_data", cd=25, a=50.0) show_images2(data=origin_data, main_title="cd50a50_data", cd=50, a=50.0) print() show_images2(data=origin_data, main_title="s10mw50cd0a50_data", s=10, mw=50, cd=0, a=50.0) show_images2(data=origin_data, main_title="s10mw50cd1a50_data", s=10, mw=50, cd=1, a=50.0) show_images2(data=origin_data, main_title="s10mw50cd2a50_data", s=10, mw=50, cd=2, a=50.0) show_images2(data=origin_data, main_title="s10mw50cd5a50_data", s=10, mw=50, cd=5, a=50.0) show_images2(data=origin_data, main_title="s10mw50cd10a50_data", s=10, mw=50, cd=10, a=50.0) show_images2(data=origin_data, main_title="s10mw50cd25a50_data", s=10, mw=50, cd=25, 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="s1mw0cd1a0_data", s=1, mw=0, cd=1, a=0.0) show_images2(data=origin_data, main_title="s1mw0cd2a0_data", s=1, mw=0, cd=2, a=0.0) show_images2(data=origin_data, main_title="s1mw0cd5a0_data", s=1, mw=0, cd=5, a=0.0) show_images2(data=origin_data, main_title="s1mw0cd10a0_data", s=1, mw=0, cd=10, a=0.0) show_images2(data=origin_data, main_title="s1mw0cd25a0_data", s=1, mw=0, cd=25, a=0.0) show_images2(data=origin_data, main_title="s1mw0cd50a0_data", s=1, mw=0, cd=50, a=0.0)