def test_to_husl_gray_3d():
img = _img()
img[..., 1] = img[..., 0] # makes things gray
img[..., 2] = img[..., 0] # makes things gray
img_float = transform.ensure_rgb_float(img)
husl_new = nphusl.to_husl(img)
was_wrong = False
for row in range(img.shape[0]):
for col in range(img.shape[1]):
husl_old = husl.rgb_to_husl(*img_float[row, col])
a = husl.husl_to_rgb(*husl_old)
b = husl.husl_to_rgb(*husl_new[row, col])
a = np.asarray(a)
b = np.asarray(b)
i = row * img.shape[1] * 3 + col * 3
_diff_husl(husl_new[row, col], husl_old)
def husl_palette(n_colors=6, h=.01, s=.9, l=.65):
"""Get a set of evenly spaced colors in HUSL hue space.
h, s, and l should be between 0 and 1
Parameters
----------
n_colors : int
number of colors in the palette
h : float
first hue
s : float
saturation
l : float
lightness
Returns
-------
palette : list of tuples
color palette
"""
hues = np.linspace(0, 1, n_colors + 1)[:-1]
hues += h
hues %= 1
hues *= 359
s *= 99
l *= 99
palette = [husl.husl_to_rgb(h_i, s, l) for h_i in hues]
return palette
def husl_palette(n_colors=6, h=.01, s=.9, l=.65):
"""Get a set of evenly spaced colors in HUSL hue space.
h, s, and l should be between 0 and 1
Parameters
----------
n_colors : int
number of colors in the palette
h : float
first hue
s : float
saturation
l : float
lightness
Returns
-------
palette : list of tuples
color palette
"""
hues = np.linspace(h, 1 + h, n_colors, endpoint=False)
hues = 359 * (hues % 1)
s *= 99
l *= 99
return [rgb_to_hex(husl.husl_to_rgb(h_i, s, l)) for h_i in hues]
def husl_palette(n_colors=6, h=.01, s=.9, l=.65):
"""Get a set of evenly spaced colors in HUSL hue space.
h, s, and l should be between 0 and 1
Parameters
----------
n_colors : int
number of colors in the palette
h : float
first hue
s : float
saturation
l : float
lightness
Returns
-------
palette : list of tuples
color palette
"""
hues = np.linspace(0, 1, n_colors + 1)[:-1]
hues += h
hues %= 1
hues *= 359
s *= 99
l *= 99
palette = [husl.husl_to_rgb(h_i, s, l) for h_i in hues]
return palette
def rgb (self) :
_vmap = self._vmap
result = _vmap.get ("rgb")
if result is None :
v = self.preferred_value
if husl is not None and isinstance (v, HUSL_Value) :
h, s, l = v
result = RGB_Value \
(* husl.husl_to_rgb (float (h), s * 100., l * 100.))
elif isinstance (v, HSL_Value) :
h, s, l = _vmap ["hsl"]
c = (1.0 - abs (2.0 * l - 1.0)) * s
h6 = h / 60.0
x = c * (1 - abs (h6 % 2 - 1))
m = l - 0.5 * c
if h6 < 1 :
r, g, b = c, x, 0
elif h6 < 2 :
r, g, b = x, c, 0
elif h6 < 3 :
r, g, b = 0, c, x
elif h6 < 4 :
r, g, b = 0, x, c
elif h6 < 5 :
r, g, b = x, 0, c
elif h6 < 6 :
r, g, b = c, 0, x
else :
raise ValueError ("Invalid hue: %s" % h)
result = RGB_Value (r + m, g + m, b + m)
_vmap ["rgb"] = result
return result
def rgb(self):
_vmap = self._vmap
result = _vmap.get("rgb")
if result is None:
v = self.preferred_value
if husl is not None and isinstance(v, HUSL_Value):
h, s, l = v
result = RGB_Value \
(* husl.husl_to_rgb (float (h), s * 100., l * 100.))
elif isinstance(v, HSL_Value):
h, s, l = _vmap["hsl"]
c = (1.0 - abs(2.0 * l - 1.0)) * s
h6 = h / 60.0
x = c * (1 - abs(h6 % 2 - 1))
m = l - 0.5 * c
if h6 < 1:
r, g, b = c, x, 0
elif h6 < 2:
r, g, b = x, c, 0
elif h6 < 3:
r, g, b = 0, c, x
elif h6 < 4:
r, g, b = 0, x, c
elif h6 < 5:
r, g, b = x, 0, c
elif h6 < 6:
r, g, b = c, 0, x
else:
raise ValueError("Invalid hue: %s" % h)
result = RGB_Value(r + m, g + m, b + m)
_vmap["rgb"] = result
return result
def make_phase_image(amp, phase, normalize=True, saturate=True, threshold=True):
"""
Turns a phase matrix into an image to be plotted with imshow.
"""
nelectrodes,d = amp.shape
alpha = copy.deepcopy(amp)
if normalize:
max_amp = np.percentile(amp, 98)
alpha = alpha / max_amp
img = np.zeros([nelectrodes, d, 4], dtype='float32')
#set the alpha and color for the bins
if saturate:
alpha[alpha > 1.0] = 1.0 #saturate
if threshold:
alpha[alpha < 0.05] = 0.0 #nonlinear threshold
cnorm = ((180.0 / np.pi) * phase).astype('int')
for j in range(nelectrodes):
for ti in range(d):
#img[j, ti, :3] = husl.husl_to_rgb(cnorm[j, ti], 99.0, 50.0) #use HUSL color space: https://github.com/boronine/pyhusl/tree/v2.1.0
img[j, ti, :3] = husl.husl_to_rgb(cnorm[j, ti], 99.0, 61.0) #use HUSL color space: https://github.com/boronine/pyhusl/tree/v2.1.0
img[:, :, 3] = alpha
return img
def color_changed(foo):
c = cs.get_current_color()
x = husl_to_rgb(c.hue * 360, c.saturation * 100, c.value * 100)
print(c.hue, c.saturation, c.value, x)
data = cal.get_rgb(c.red / 256.0, c.green / 256.0, c.blue / 256.0)
data = cal.get_rgb(x[0] * 255, x[1] * 255, x[2] * 255)
data = [data[1], data[0], data[2]]
setleds(data * int(sys.argv[2]))
def test_cython_husl_to_rgb():
from nphusl import _nphusl_cython as cy
hsl = np.ndarray(dtype=float, shape=(9, 9, 3))
hsl[:] = 200.0, 50.1, 30.4
hsl[:] /= 255.0
rgb = cy.husl_to_rgb(hsl)
rgb_std = husl.husl_to_rgb(*(200.0/255, 50.1/255, 30.4/255))
assert _diff(rgb, rgb_std, 0.1)
def colorize_border(path, name):
"""
Colorize terminal tab by your server name.
"""
H, S, L = get_color(path, name)
color = husl.husl_to_rgb(H, S, L)
decorate_terminal(color)
def colorize_border(path, name):
"""
Colorize terminal tab by your server name.
"""
H, S, L = get_color(path, name)
color = husl.husl_to_rgb(H, S, L)
decorate_terminal(color)
def test_within_rgb_range(self):
for H in range(0, 361, 5):
for S in range(0, 101, 5):
for L in range(0, 101, 5):
RGB = husl.husl_to_rgb(H, S, L)
for channel in RGB:
assert (channel >= -rgb_range_tolerance and channel <= 1 + rgb_range_tolerance), ((H, S, L), RGB)
RGB = husl.huslp_to_rgb(H, S, L)
for channel in RGB:
assert (channel >= -rgb_range_tolerance and channel <= 1 + rgb_range_tolerance), ((H, S, L), RGB)
def register_husl_colormap(nsegs=90):
cdict = {'red':list(), 'green':list(), 'blue':list()}
r0,g0,b0 = husl.husl_to_rgb(0, 99.0, 50)
cdict['red'].append((0., r0, r0))
cdict['blue'].append((0., b0, b0))
cdict['green'].append((0., g0, g0))
inc = 360. / nsegs
for k in range(nsegs):
d = (k+1)*inc
x = (k+1) / float(nsegs)
r,g,b = husl.husl_to_rgb(d, 99.0, 50.0)
cdict['red'].append((x, r, r))
cdict['green'].append((x, g, g))
cdict['blue'].append((x, b, b))
cm = LinearSegmentedColormap('HUSL', cdict)
plt.register_cmap(cmap=cm)
def husl_colormap(saturation, lightness):
"""
Generate a colormap of linearly varying hue while keeping saturation and lightness fixed.
See here for the HUSL color space: http://www.boronine.com/husl/
"""
hvals = np.linspace(0, 360, 256, endpoint=False)
cmap_vals = np.array(
[husl.husl_to_rgb(h, saturation, lightness) for h in hvals])
cmap = mcolors.ListedColormap(cmap_vals)
return cmap
def parseColor(color):
parsed_color = None
if color.startswith('#'):
if re.match('^#[0-9a-f]{6}$', color) != None:
parsed_color = color
elif color.startswith('rgb'):
rgb_match = re.search(
'^rgb\(([0-9]{1,3}),\s*([0-9]{1,3}),\s*([0-9]{1,3})\)$', color)
if rgb_match is not None:
try:
r = min(int(rgb_match.group(1)), 255)
g = min(int(rgb_match.group(2)), 255)
b = min(int(rgb_match.group(3)), 255)
parsed_color = '#' + ("%x" % r) + ("%x" % g) + ("%x" % b)
except ValueError:
pass
elif color.startswith('hsl'):
hsl_match = re.search(
'^hsl\(([0-9]{1,3}(\.[0-9]*)?),\s*([0-9]{1,3}(\.[0-9]*)?)\%,\s*([0-9]{1,3}(\.[0-9]*)?)\%\)$',
color)
if hsl_match is not None:
try:
h = min(float(hsl_match.group(1)) / 365, 1)
s = min(float(hsl_match.group(3)) / 100, 1)
l = min(float(hsl_match.group(5)) / 100, 1)
(r, g, b) = colorsys.hls_to_rgb(h, l, s)
parsed_color = '#' + ("%x" %
(r * 255)) + ("%x" %
(g * 255)) + ("%x" %
(b * 255))
except ValueError:
pass
elif color.startswith('husl'):
husl_match = re.search(
'^husl\(([0-9]{1,3}(\.[0-9]*)?),\s*([0-9]{1,3}(\.[0-9]*)?)\%,\s*([0-9]{1,3}(\.[0-9]*)?)\%\)$',
color)
if husl_match is not None:
try:
import husl
h = min(float(husl_match.group(1)), 360)
s = min(float(husl_match.group(3)), 100)
l = min(float(husl_match.group(5)), 100)
rgb = husl.husl_to_rgb(h, s, l)
parsed_color = husl.rgb_to_hex(rgb)
except ValueError:
pass
except ImportError:
print(
'HUSL colour definitions need the husl library. Please install it.'
)
pass
return parsed_color
def test_within_rgb_range(self):
for H in range(0, 361, 5):
for S in range(0, 101, 5):
for L in range(0, 101, 5):
RGB = husl.husl_to_rgb(H, S, L)
for channel in RGB:
assert (channel >= -rgb_range_tolerance
and channel <= 1 + rgb_range_tolerance), ((H,
S,
L),
RGB)
RGB = husl.huslp_to_rgb(H, S, L)
for channel in RGB:
assert (channel >= -rgb_range_tolerance
and channel <= 1 + rgb_range_tolerance), ((H,
S,
L),
RGB)
def parseColor(color):
parsed_color = None
if color.startswith('#'):
if re.match('^#[0-9a-f]{6}$', color) != None:
parsed_color = color
elif color.startswith('rgb'):
rgb_match = re.search('^rgb\(([0-9]{1,3}),\s*([0-9]{1,3}),\s*([0-9]{1,3})\)$', color)
if rgb_match is not None:
try:
r = min(int(rgb_match.group(1)), 255)
g = min(int(rgb_match.group(2)), 255)
b = min(int(rgb_match.group(3)), 255)
parsed_color = '#'+("%x" % r)+("%x" % g)+("%x" % b)
except ValueError:
pass
elif color.startswith('hsl'):
hsl_match = re.search('^hsl\(([0-9]{1,3}(\.[0-9]*)?),\s*([0-9]{1,3}(\.[0-9]*)?)\%,\s*([0-9]{1,3}(\.[0-9]*)?)\%\)$', color)
if hsl_match is not None:
try:
h = min(float(hsl_match.group(1)) / 365, 1)
s = min(float(hsl_match.group(3)) / 100, 1)
l = min(float(hsl_match.group(5)) / 100, 1)
(r, g, b) = colorsys.hls_to_rgb(h, l, s)
parsed_color = '#'+("%x" % (r * 255))+("%x" % (g * 255))+("%x" % (b * 255))
except ValueError:
pass
elif color.startswith('husl'):
husl_match = re.search('^husl\(([0-9]{1,3}(\.[0-9]*)?),\s*([0-9]{1,3}(\.[0-9]*)?)\%,\s*([0-9]{1,3}(\.[0-9]*)?)\%\)$', color)
if husl_match is not None:
try:
import husl
h = min(float(husl_match.group(1)), 360)
s = min(float(husl_match.group(3)), 100)
l = min(float(husl_match.group(5)), 100)
rgb = husl.husl_to_rgb(h, s, l)
parsed_color = husl.rgb_to_hex(rgb)
except ValueError:
pass
except ImportError:
print('HUSL colour definitions need the husl library. Please install it.')
pass
return parsed_color
def draw_husl_circle():
""" Draw an awesome circle whose angle is colored using the HUSL color space. The HUSL color space is circular, so
it's useful for plotting phase. This figure could serve as a "color circle" as opposed to a color bar.
"""
#generate a bunch of points on the circle
theta = np.arange(0.0, 2*np.pi, 1e-3)
plt.figure()
radii = np.arange(0.75, 1.0, 1e-2)
for t in theta:
x = radii*np.cos(t)
y = radii*np.sin(t)
a = (180.0/np.pi)*t
c = husl.husl_to_rgb(a, 99.0, 50.0)
plt.plot(x, y, c=c)
plt.xlim(-1.25, 1.25)
plt.ylim(-1.25, 1.25)
plt.show()
def getColor(cls):
cls.seed = (cls.seed + golden_ratio_conjugate) % 1
hue = 360 * cls.seed
sat = random.uniform(cls.minS, cls.maxS)
lum = random.uniform(cls.minL, cls.maxL)
return husl_to_rgb(hue, sat, lum)
def husl_to_rgba(hue,saturation,lightness):
return argb(255,*[255*x for x in husl.husl_to_rgb(hue,saturation,lightness)])
p1.enableAutoRange('xy', False)
p1.setXRange(0.0, 100000.0, padding=0)
p1.setYRange(0.4, 1.0, padding=0)
p1.setLabels(bottom='Iterations')
p1.showGrid(x=True, y=True)
inputFiles = sys.argv[1:]
def rgb(r,g,b):
return r*255.0, g*255.0, b*255.0
# Setup plots
plots = {}
for idx, file in enumerate(inputFiles):
hue = idx * 360.0 / len(inputFiles)
color_map = husl.husl_to_rgb(hue, 80.0, 40.0)
color_f1 = husl.husl_to_rgb(hue, 40.0, 60.0)
text_map = pg.TextItem(anchor=(0,0.5))
text_f1 = pg.TextItem(anchor=(0,0.5))
p1.addItem(text_map)
p1.addItem(text_f1)
plots[file] = {
'test_f1': p1.plot(pen=rgb(*color_f1), name='%s F1' % file),
'test_map': p1.plot(pen=rgb(*color_map), name='%s mAP' % file),
'test_f1_text': text_f1,
'test_f1_color': rgb(*color_f1),
'test_map_text': text_map,
'test_map_color': rgb(*color_map),
