INNER CODE UNIT · Python

n_pixels

patrickjohncyh/fashion-clip · fashion_clip/attention_map.py:22

    n_pixels = image_size // pixel_size + 1
    for i in range(1, n_pixels):
        for j in range(i+1, n_pixels):
            m = base_mask.copy()
            m[:min(i*pixel_size, image_size), :] = 0
            m[min(j*pixel_size, image_size):, :] = 0
            masks.append(m)
    return masks

def generate_vertical_masks(image_size, pixel_size, channels=3):
    base_mask = np.ones((image_size, image_size, channels))
    masks = []
    n_pixels = image_size // pixel_size + 1
    for i in range(0, n_pixels):
        for j in range(i + 1, n_pixels):
            m = base_mask.copy()
            m[:, :min(i * pixel_size, image_size)] = 0
            m[:, min(j * pixel_size, image_size):] = 0

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