10 examples of 'rgb to grayscale python' in Python

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def hsv_to_rgb(a, b, c):
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    return (1.0,)

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def rgb_to_gray(image):
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    return cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)

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def hsv_to_rgb(hsv):
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    """Input HSV image [0~1] return RGB image [0~255].
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    Parameters
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    -------------
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    hsv : numpy.array
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        An image with values between 0.0 and 1.0
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    Returns
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    -------
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    numpy.array
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        A processed image.
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    """
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    # Translated from source of colorsys.hsv_to_rgb
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    # h,s should be a numpy arrays with values between 0.0 and 1.0
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    # v should be a numpy array with values between 0.0 and 255.0
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    # hsv_to_rgb returns an array of uints between 0 and 255.
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    rgb = np.empty_like(hsv)
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    rgb[..., 3:] = hsv[..., 3:]
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    h, s, v = hsv[..., 0], hsv[..., 1], hsv[..., 2]
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    i = (h * 6.0).astype('uint8')
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    f = (h * 6.0) - i
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    p = v * (1.0 - s)
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    q = v * (1.0 - s * f)
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    t = v * (1.0 - s * (1.0 - f))
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    i = i % 6
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    conditions = [s == 0.0, i == 1, i == 2, i == 3, i == 4, i == 5]
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    rgb[..., 0] = np.select(conditions, [v, q, p, p, t, v], default=v)
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    rgb[..., 1] = np.select(conditions, [v, v, v, q, p, p], default=t)
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    rgb[..., 2] = np.select(conditions, [v, p, t, v, v, q], default=p)
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    return rgb.astype('uint8')

15
def colour2grayscale(R, grayscaleImgList):
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	# grayscaleImgList = []
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	images = R['data']
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	for i in xrange(10000):
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		img = images[i, ]
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		imRed = img[0:1024].reshape(32, 32)
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		imGreen = img[1024:2048].reshape(32, 32)
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		imBlue = img[2048:3072].reshape(32, 32)
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		grayscaleImg = (imRed*0.3 + imGreen*0.59 + imBlue*0.11).astype(int)
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		grayscaleImgList.append(grayscaleImg)
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	#grayscaleImgList = np.array(grayscaleImgList)	
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	return grayscaleImgList

16
def to_rgb(h,s,l):
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    return hsv_to_rgb(h,s,l)

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def convert_to_grayscale(image):
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    if image.n_channels == 3:
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        image = image.as_greyscale()
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    return image

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def grayscale(img):
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    """
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    Applies the Grayscale transform
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    This will return an image with only one color channel
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    """
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    return cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)

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def convert2grayscale(self):
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    ''' when importing an rgb image is necessary to calculate the
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    luminosity and reduce the array from mxnx3 to mxn
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    '''
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    self.data = np.dot(self.data[...,:3], [0.299, 0.587, 0.114])

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@staticmethod
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def hex_to_rgb(l):
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    return [(int(s[1:3], 16), int(s[3:5], 16), int(s[5:7], 16))
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            for s in l]

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def convert_img_color_to_rgb(image, color_space):
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    """ convert image colour space to RGB to xxx
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    :param ndarray image: rgb image
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    :param str color_space:
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    :return ndarray: image
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    >>> convert_img_color_to_rgb(np.ones((50, 75, 3)), 'hsv').shape
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    (50, 75, 3)
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    """
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    if image.ndim == 3 and image.shape[-1] == 3 \
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            and color_space in DICT_CONVERT_COLOR_TO_RGB:
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        image = DICT_CONVERT_COLOR_TO_RGB[color_space](image)
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    return image