I have a function which returns a list of patches from input_image. Since, this is a preprocessing step, I would like to integrate it with other transformations. Below is the rough function analogy that I would like to call using transforms.lambda.
def patch(img, patch_size):
patches = []
w, h = img.size
tw = patch_size
th = patch_size
for w1 in range(0, w, int(w/3)):
for h1 in range(0, h, int(h/3)):
w2 = w1 + int(np.random.randint(1, int(w/3) - tw))
h2 = h1 + int(np.random.randint(1, int(h/3) - th))
patches.append(img.crop((w2, h2, w2 + tw, h2 + tw)))
return patches