Deep Learning, Sora, Computer Vision, Transformers, Attention.
#__main__.ResizeAndPad(patch_size=32, max_size=768) bimg = bimgs[np.random.randint(len(bimgs))] timg = [rp(np.asarray(Image.open(i))) for i in bimg] [i.shape for i in timg] #[(576, 768, 3), (576, 768, 3), (576, 768, 3), (576, 768, 3)] fig, ax = plt.subplots(figsize=(12, 5), nrows=2, ncols=2) for n,