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# Copyright (c) Facebook, Inc. and its affiliates.
"""
An awesome colormap for really neat visualizations.
Copied from Detectron, and removed gray colors.
"""
import numpy as np
import random
random.seed(0)
__all__ = ["colormap", "random_color", "random_colors"]
# fmt: off
# RGB:
# _COLORS = np.array(
# [
# 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,
# 0.333, 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,
# 0.000, 0.000, 0.000,
# 0.143, 0.143, 0.143,
# 0.857, 0.857, 0.857,
# 1.000, 1.000, 1.000
# ]
# ).astype(np.float32).reshape(-1, 3)
# fmt: on
_COLORS = []
def gen_color():
color = tuple(np.round(np.random.choice(range(256), size=3)/255, 3))
if color not in _COLORS and np.mean(color) != 0.0:
_COLORS.append(color)
else:
gen_color()
for _ in range(300):
gen_color()
def colormap(rgb=False, maximum=255):
"""
Args:
rgb (bool): whether to return RGB colors or BGR colors.
maximum (int): either 255 or 1
Returns:
ndarray: a float32 array of Nx3 colors, in range [0, 255] or [0, 1]
"""
assert maximum in [255, 1], maximum
c = _COLORS * maximum
if not rgb:
c = c[:, ::-1]
return c
def random_color(rgb=False, maximum=255):
"""
Args:
rgb (bool): whether to return RGB colors or BGR colors.
maximum (int): either 255 or 1
Returns:
ndarray: a vector of 3 numbers
"""
idx = np.random.randint(0, len(_COLORS))
ret = _COLORS[idx] * maximum
if not rgb:
ret = ret[::-1]
return ret
def random_colors(N, rgb=False, maximum=255):
"""
Args:
N (int): number of unique colors needed
rgb (bool): whether to return RGB colors or BGR colors.
maximum (int): either 255 or 1
Returns:
ndarray: a list of random_color
"""
indices = random.sample(range(len(_COLORS)), N)
ret = [_COLORS[i] * maximum for i in indices]
if not rgb:
ret = [x[::-1] for x in ret]
return ret
if __name__ == "__main__":
import cv2
size = 100
H, W = 10, 10
canvas = np.random.rand(H * size, W * size, 3).astype("float32")
for h in range(H):
for w in range(W):
idx = h * W + w
if idx >= len(_COLORS):
break
canvas[h * size : (h + 1) * size, w * size : (w + 1) * size] = _COLORS[idx]
cv2.imshow("a", canvas)
cv2.waitKey(0) |