def _process(self, overlay, key=None):
if len(overlay) != 2:
raise Exception(
"colorizeHSV required an overlay of two Image elements as input."
)
if (len(overlay.get(0).vdims), len(overlay.get(1).vdims)) != (1, 1):
raise Exception(
"Each Image element must have single value dimension.")
if overlay.get(0).shape != overlay.get(1).shape:
raise Exception(
"Mismatch in the shapes of the data in the Image elements.")
hue = overlay.get(1)
Hdim = hue.vdims[0]
H = hue.clone(hue.data.copy(),
vdims=[Hdim(cyclic=True, range=hue.range(Hdim.name))])
normfn = raster_normalization.instance()
if self.p.input_ranges:
S = normfn.process_element(overlay.get(0), key,
*self.p.input_ranges)
else:
S = normfn.process_element(overlay.get(0), key)
C = Image(np.ones(hue.data.shape),
bounds=self.get_overlay_bounds(overlay),
group='F',
label='G')
C.vdims[0].range = (0, 1)
S.vdims[0].range = (0, 1)
return HSV(H * C * S).relabel(group=self.p.group)
def init_data(self):
self.hsv = HSV((self.xs, self.ys, self.hsv_array[:, :, 0],
self.hsv_array[:, :, 1], self.hsv_array[:, :, 2]))
def init_data(self):
self.hsv = HSV(self.hsv_array[::-1], bounds=(-10, 0, 10, 10))