Created
January 16, 2020 03:37
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Apple mask on a image.
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def random_colors(self, N, bright=True): | |
""" | |
Generate random colors. | |
To get visually distinct colors, generate them in HSV space then | |
convert to RGB. | |
""" | |
brightness = 1.0 if bright else 0.7 | |
hsv = [(i / N, 1, brightness) for i in range(N)] | |
colors = list(map(lambda c: colorsys.hsv_to_rgb(*c), hsv)) | |
random.shuffle(colors) | |
return colors | |
def apply_mask(self, image, mask, color): | |
"""Apply the given mask to the image. | |
""" | |
for c in range(3): | |
mask_t = mask.numpy() | |
mask_t = mask_t[0] | |
image[:, :, c] = image[:, :, c] + mask_t * color[c] * 255 | |
return image | |
def display(self, image,masks,scores): | |
N = masks.shape[0] | |
colors = self.random_colors(N) | |
height, width = image.shape[:2] | |
masked_image = np.zeros([height,width,3]) | |
self.total_leaf_num = 0 | |
for i in range(N): | |
if scores[i] < 0.82: | |
continue | |
self.total_leaf_num += 1 | |
color = colors[i] | |
mask = masks[i,:, :,:] | |
masked_image = self.apply_mask(masked_image, mask, color) | |
masked_image = masked_image.astype(np.uint8) | |
masked_image = Image.fromarray(masked_image) | |
masked_image.save('total_mask.png') |
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