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import cv2
import numpy as np
from PIL import Image
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] = 1.0
# 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] = 1.0
# 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
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