Spaces:
Running
on
Zero
Running
on
Zero
File size: 6,738 Bytes
59b2a81 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 |
# paint masks, contours, or points on images, with specified colors
import cv2
import torch
import numpy as np
from PIL import Image
import copy
import time
def colormap(rgb=True):
color_list = np.array(
[
0.000, 0.000, 0.000,
1.000, 1.000, 1.000,
1.000, 0.498, 0.313,
0.392, 0.581, 0.929,
0.000, 0.447, 0.741,
0.850, 0.325, 0.098,
0.929, 0.694, 0.125,
0.494, 0.184, 0.556,
0.466, 0.674, 0.188,
0.301, 0.745, 0.933,
0.635, 0.078, 0.184,
0.300, 0.300, 0.300,
0.600, 0.600, 0.600,
1.000, 0.000, 0.000,
1.000, 0.500, 0.000,
0.749, 0.749, 0.000,
0.000, 1.000, 0.000,
0.000, 0.000, 1.000,
0.667, 0.000, 1.000,
0.333, 0.333, 0.000,
0.333, 0.667, 0.000,
0.333, 1.000, 0.000,
0.667, 0.333, 0.000,
0.667, 0.667, 0.000,
0.667, 1.000, 0.000,
1.000, 0.333, 0.000,
1.000, 0.667, 0.000,
1.000, 1.000, 0.000,
0.000, 0.333, 0.500,
0.000, 0.667, 0.500,
0.000, 1.000, 0.500,
0.333, 0.000, 0.500,
0.333, 0.333, 0.500,
0.333, 0.667, 0.500,
0.333, 1.000, 0.500,
0.667, 0.000, 0.500,
0.667, 0.333, 0.500,
0.667, 0.667, 0.500,
0.667, 1.000, 0.500,
1.000, 0.000, 0.500,
1.000, 0.333, 0.500,
1.000, 0.667, 0.500,
1.000, 1.000, 0.500,
0.000, 0.333, 1.000,
0.000, 0.667, 1.000,
0.000, 1.000, 1.000,
0.333, 0.000, 1.000,
0.333, 0.333, 1.000,
0.333, 0.667, 1.000,
0.333, 1.000, 1.000,
0.667, 0.000, 1.000,
0.667, 0.333, 1.000,
0.667, 0.667, 1.000,
0.667, 1.000, 1.000,
1.000, 0.000, 1.000,
1.000, 0.333, 1.000,
1.000, 0.667, 1.000,
0.167, 0.000, 0.000,
0.333, 0.000, 0.000,
0.500, 0.000, 0.000,
0.667, 0.000, 0.000,
0.833, 0.000, 0.000,
1.000, 0.000, 0.000,
0.000, 0.167, 0.000,
0.000, 0.333, 0.000,
0.000, 0.500, 0.000,
0.000, 0.667, 0.000,
0.000, 0.833, 0.000,
0.000, 1.000, 0.000,
0.000, 0.000, 0.167,
0.000, 0.000, 0.333,
0.000, 0.000, 0.500,
0.000, 0.000, 0.667,
0.000, 0.000, 0.833,
0.000, 0.000, 1.000,
0.143, 0.143, 0.143,
0.286, 0.286, 0.286,
0.429, 0.429, 0.429,
0.571, 0.571, 0.571,
0.714, 0.714, 0.714,
0.857, 0.857, 0.857
]
).astype(np.float32)
color_list = color_list.reshape((-1, 3)) * 255
if not rgb:
color_list = color_list[:, ::-1]
return color_list
color_list = colormap()
color_list = color_list.astype('uint8').tolist()
def vis_add_mask(image, mask, color, alpha):
color = np.array(color_list[color])
mask = mask > 0.5
image[mask] = image[mask] * (1-alpha) + color * alpha
return image.astype('uint8')
def point_painter(input_image, input_points, point_color=5, point_alpha=0.9, point_radius=15, contour_color=2, contour_width=5):
h, w = input_image.shape[:2]
point_mask = np.zeros((h, w)).astype('uint8')
for point in input_points:
point_mask[point[1], point[0]] = 1
kernel = cv2.getStructuringElement(2, (point_radius, point_radius))
point_mask = cv2.dilate(point_mask, kernel)
contour_radius = (contour_width - 1) // 2
dist_transform_fore = cv2.distanceTransform(point_mask, cv2.DIST_L2, 3)
dist_transform_back = cv2.distanceTransform(1-point_mask, cv2.DIST_L2, 3)
dist_map = dist_transform_fore - dist_transform_back
# ...:::!!!:::...
contour_radius += 2
contour_mask = np.abs(np.clip(dist_map, -contour_radius, contour_radius))
contour_mask = contour_mask / np.max(contour_mask)
contour_mask[contour_mask>0.5] = 1.
# paint mask
painted_image = vis_add_mask(input_image.copy(), point_mask, point_color, point_alpha)
# paint contour
painted_image = vis_add_mask(painted_image.copy(), 1-contour_mask, contour_color, 1)
return painted_image
def mask_painter(input_image, input_mask, mask_color=5, mask_alpha=0.7, contour_color=1, contour_width=3):
assert input_image.shape[:2] == input_mask.shape, 'different shape between image and mask'
# 0: background, 1: foreground
mask = np.clip(input_mask, 0, 1)
contour_radius = (contour_width - 1) // 2
dist_transform_fore = cv2.distanceTransform(mask, cv2.DIST_L2, 3)
dist_transform_back = cv2.distanceTransform(1-mask, cv2.DIST_L2, 3)
dist_map = dist_transform_fore - dist_transform_back
# ...:::!!!:::...
contour_radius += 2
contour_mask = np.abs(np.clip(dist_map, -contour_radius, contour_radius))
contour_mask = contour_mask / np.max(contour_mask)
contour_mask[contour_mask>0.5] = 1.
# paint mask
painted_image = vis_add_mask(input_image.copy(), mask.copy(), mask_color, mask_alpha)
# paint contour
painted_image = vis_add_mask(painted_image.copy(), 1-contour_mask, contour_color, 1)
return painted_image
def background_remover(input_image, input_mask):
"""
input_image: H, W, 3, np.array
input_mask: H, W, np.array
image_wo_background: PIL.Image
"""
assert input_image.shape[:2] == input_mask.shape, 'different shape between image and mask'
# 0: background, 1: foreground
mask = np.expand_dims(np.clip(input_mask, 0, 1), axis=2)*255
image_wo_background = np.concatenate([input_image, mask], axis=2) # H, W, 4
image_wo_background = Image.fromarray(image_wo_background).convert('RGBA')
return image_wo_background
if __name__ == '__main__':
input_image = np.array(Image.open('images/painter_input_image.jpg').convert('RGB'))
input_mask = np.array(Image.open('images/painter_input_mask.jpg').convert('P'))
# example of mask painter
mask_color = 3
mask_alpha = 0.7
contour_color = 1
contour_width = 5
# save
painted_image = Image.fromarray(input_image)
painted_image.save('images/original.png')
painted_image = mask_painter(input_image, input_mask, mask_color, mask_alpha, contour_color, contour_width)
# save
painted_image = Image.fromarray(input_image)
painted_image.save('images/original1.png')
# example of point painter
input_image = np.array(Image.open('images/painter_input_image.jpg').convert('RGB'))
input_points = np.array([[500, 375], [70, 600]]) # x, y
point_color = 5
point_alpha = 0.9
point_radius = 15
contour_color = 2
contour_width = 5
painted_image_1 = point_painter(input_image, input_points, point_color, point_alpha, point_radius, contour_color, contour_width)
# save
painted_image = Image.fromarray(painted_image_1)
painted_image.save('images/point_painter_1.png')
input_image = np.array(Image.open('images/painter_input_image.jpg').convert('RGB'))
painted_image_2 = point_painter(input_image, input_points, point_color=9, point_radius=20, contour_color=29)
# save
painted_image = Image.fromarray(painted_image_2)
painted_image.save('images/point_painter_2.png')
# example of background remover
input_image = np.array(Image.open('images/original.png').convert('RGB'))
image_wo_background = background_remover(input_image, input_mask) # return PIL.Image
image_wo_background.save('images/image_wo_background.png')
|