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import numpy as np
import PIL.Image
def rgb2gray(rgb):
# type: (np.ndarray) -> np.ndarray
"""Covnert rgb to gray.
Parameters
----------
rgb: numpy.ndarray, (H, W, 3), np.uint8
Input rgb image.
Returns
-------
gray: numpy.ndarray, (H, W)
Output gray image.
"""
assert rgb.ndim == 3, "rgb must be 3 dimensional"
assert rgb.shape[2] == 3, "rgb shape must be (H, W, 3)"
assert rgb.dtype == np.uint8, "rgb dtype must be np.uint8"
gray = PIL.Image.fromarray(rgb)
gray = gray.convert("L")
gray = np.array(gray)
return gray
def gray2rgb(gray):
# type: (np.ndarray) -> np.ndarray
"""Covnert gray to rgb.
Parameters
----------
gray: numpy.ndarray, (H, W), np.uint8
Input gray image.
Returns
-------
rgb: numpy.ndarray, (H, W, 3), np.uint8
Output rgb image.
"""
assert gray.ndim == 2, "gray must be 2 dimensional"
assert gray.dtype == np.uint8, "gray dtype must be np.uint8"
rgb = gray[:, :, None].repeat(3, axis=2)
return rgb
def rgb2rgba(rgb):
# type: (np.ndarray) -> np.ndarray
"""Convert rgb to rgba.
Parameters
----------
rgb: numpy.ndarray, (H, W, 3), np.uint8
Input rgb image.
Returns
-------
rgba: numpy.ndarray, (H, W, 4), np.uint8
Output rgba image.
"""
assert rgb.ndim == 3, "rgb must be 3 dimensional"
assert rgb.shape[2] == 3, "rgb shape must be (H, W, 3)"
assert rgb.dtype == np.uint8, "rgb dtype must be np.uint8"
a = np.full(rgb.shape[:2], 255, dtype=np.uint8)
rgba = np.dstack((rgb, a))
return rgba
def rgb2hsv(rgb):
# type: (np.ndarray) -> np.ndarray
"""Convert rgb to hsv.
Parameters
----------
rgb: numpy.ndarray, (H, W, 3), np.uint8
Input rgb image.
Returns
-------
hsv: numpy.ndarray, (H, W, 3), np.uint8
Output hsv image.
"""
hsv = PIL.Image.fromarray(rgb, mode="RGB")
hsv = hsv.convert("HSV")
hsv = np.array(hsv)
return hsv
def hsv2rgb(hsv):
# type: (np.ndarray) -> np.ndarray
"""Convert hsv to rgb.
Parameters
----------
hsv: numpy.ndarray, (H, W, 3), np.uint8
Input hsv image.
Returns
-------
rgb: numpy.ndarray, (H, W, 3), np.uint8
Output rgb image.
"""
rgb = PIL.Image.fromarray(hsv, mode="HSV")
rgb = rgb.convert("RGB")
rgb = np.array(rgb)
return rgb
def rgba2rgb(rgba):
# type: (np.ndarray) -> np.ndarray
"""Convert rgba to rgb.
Parameters
----------
rgba: numpy.ndarray, (H, W, 4), np.uint8
Input rgba image.
Returns
-------
rgb: numpy.ndarray, (H, W, 3), np.uint8
Output rgb image.
"""
rgb = rgba[:, :, :3]
return rgb
def asgray(img):
# type: (np.ndarray) -> np.ndarray
"""Convert any array to gray image.
Parameters
----------
img: numpy.ndarray, (H, W, 3), np.uint8
Input image.
Returns
-------
gray: numpy.ndarray, (H, W), np.uint8
Output gray image.
"""
if img.ndim == 2:
gray = img
elif img.ndim == 3 and img.shape[2] == 4:
gray = rgb2gray(rgba2rgb(img))
elif img.ndim == 3 and img.shape[2] == 3:
gray = rgb2gray(img)
else:
raise ValueError(
"Unsupported image format to convert to gray:"
"shape={}, dtype={}".format(img.shape, img.dtype)
)
return gray
def get_fg_color(color):
color = np.asarray(color, dtype=np.uint8)
intensity = rgb2gray(color.reshape(1, 1, 3)).sum()
if intensity > 170:
return (0, 0, 0)
return (255, 255, 255)
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