10 examples of 'rgb to grayscale python' in Python

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16def hsv_to_rgb(a, b, c):
17 return (1.0,)
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56def rgb_to_gray(image):
57 return cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
1239def hsv_to_rgb(hsv):
1240 """Input HSV image [0~1] return RGB image [0~255].
1241
1242 Parameters
1243 -------------
1244 hsv : numpy.array
1245 An image with values between 0.0 and 1.0
1246
1247 Returns
1248 -------
1249 numpy.array
1250 A processed image.
1251 """
1252 # Translated from source of colorsys.hsv_to_rgb
1253 # h,s should be a numpy arrays with values between 0.0 and 1.0
1254 # v should be a numpy array with values between 0.0 and 255.0
1255 # hsv_to_rgb returns an array of uints between 0 and 255.
1256 rgb = np.empty_like(hsv)
1257 rgb[..., 3:] = hsv[..., 3:]
1258 h, s, v = hsv[..., 0], hsv[..., 1], hsv[..., 2]
1259 i = (h * 6.0).astype('uint8')
1260 f = (h * 6.0) - i
1261 p = v * (1.0 - s)
1262 q = v * (1.0 - s * f)
1263 t = v * (1.0 - s * (1.0 - f))
1264 i = i % 6
1265 conditions = [s == 0.0, i == 1, i == 2, i == 3, i == 4, i == 5]
1266 rgb[..., 0] = np.select(conditions, [v, q, p, p, t, v], default=v)
1267 rgb[..., 1] = np.select(conditions, [v, v, v, q, p, p], default=t)
1268 rgb[..., 2] = np.select(conditions, [v, p, t, v, v, q], default=p)
1269 return rgb.astype('uint8')
15def colour2grayscale(R, grayscaleImgList):
16
17 # grayscaleImgList = []
18
19 images = R['data']
20
21 for i in xrange(10000):
22
23 img = images[i, ]
24
25 imRed = img[0:1024].reshape(32, 32)
26 imGreen = img[1024:2048].reshape(32, 32)
27 imBlue = img[2048:3072].reshape(32, 32)
28
29 grayscaleImg = (imRed*0.3 + imGreen*0.59 + imBlue*0.11).astype(int)
30
31 grayscaleImgList.append(grayscaleImg)
32
33 #grayscaleImgList = np.array(grayscaleImgList)
34
35 return grayscaleImgList
16def to_rgb(h,s,l):
17 return hsv_to_rgb(h,s,l)
509def convert_to_grayscale(image):
510 if image.n_channels == 3:
511 image = image.as_greyscale()
512 return image
18def grayscale(img):
19 """
20 Applies the Grayscale transform
21 This will return an image with only one color channel
22 """
23 return cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
140def convert2grayscale(self):
141 ''' when importing an rgb image is necessary to calculate the
142 luminosity and reduce the array from mxnx3 to mxn
143 '''
144 self.data = np.dot(self.data[...,:3], [0.299, 0.587, 0.114])
68@staticmethod
69def hex_to_rgb(l):
70 return [(int(s[1:3], 16), int(s[3:5], 16), int(s[5:7], 16))
71 for s in l]
60def convert_img_color_to_rgb(image, color_space):
61 """ convert image colour space to RGB to xxx
62
63 :param ndarray image: rgb image
64 :param str color_space:
65 :return ndarray: image
66
67 >>> convert_img_color_to_rgb(np.ones((50, 75, 3)), 'hsv').shape
68 (50, 75, 3)
69 """
70 if image.ndim == 3 and image.shape[-1] == 3 \
71 and color_space in DICT_CONVERT_COLOR_TO_RGB:
72 image = DICT_CONVERT_COLOR_TO_RGB[color_space](image)
73 return image

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