utils.py 文件源码

def preprocess_A_and_B(img_A, img_B, load_size=286, fine_size=256, flip=True, is_test=False):
    if is_test:
        img_A = scipy.misc.imresize(img_A, [fine_size, fine_size])
        img_B = scipy.misc.imresize(img_B, [fine_size, fine_size])
    else:
        img_A = scipy.misc.imresize(img_A, [load_size, load_size])
        img_B = scipy.misc.imresize(img_B, [load_size, load_size])

        h1 = int(np.ceil(np.random.uniform(1e-2, load_size-fine_size)))
        w1 = int(np.ceil(np.random.uniform(1e-2, load_size-fine_size)))
        img_A = img_A[h1:h1+fine_size, w1:w1+fine_size]
        img_B = img_B[h1:h1+fine_size, w1:w1+fine_size]

        if flip and np.random.random() > 0.5:
            img_A = np.fliplr(img_A)
            img_B = np.fliplr(img_B)

    return img_A, img_B

# -----------------------------

# new added function for lip dataset, saving pose