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plot_colorSpace.py
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plot_colorSpace.py
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#! /usr/bin/env python
import matplotlib.pylab as plt
import numpy as np
from base import plot as pf
from colorSpace import colorSpace
def plotConeSpace():
'''
'''
space = colorSpace(fundamental='neitz',
LMSpeaks=[559.0, 530.0, 421.0])
space.plotColorSpace(space.Lnorm, space.Mnorm, space.spectrum)
plt.show()
def plotLUV():
'''
'''
# make sure stim is cie 1931 and fundamentals neitz
space = colorSpace(fundamental='neitz',
LMSpeaks=[559.0, 530.0, 421.0],
stim='cie 1931')
space.genXYZ()
u = 4 * space.X / (-2 * space.X + 12 * space.Y + 3)
v = 9 * space.Y / (-2 * space.X + 12 * space.Y + 3)
ind1 = np.where(space.spectrum == 420)[0]
ind2 = np.where(space.spectrum == 700)[0]
spectrum = space.spectrum[ind1:ind2+1]
u = u[ind1:ind2]
v = v[ind1:ind2]
space.plotColorSpace(u, v, spectrum, ee=False, Luv=True,
skipLam=[530, 550])
space.cs_ax.axes.get_xaxis().set_visible(False)
space.cs_ax.axes.get_yaxis().set_visible(False)
plt.axis('off')
plt.show()
def plotCIE():
'''
'''
space = colorSpace(fundamental='neitz',
LMSpeaks=[559.0, 530.0, 417.0])
sub1_Neitz, sub2_Neitz, jv = space.genKaiser()
## plot confusion lines
clip_area = Wedge((jv[0, 0], jv[0, 1]), r=10, theta1=0, theta2=360)
CIEcopunctuals = {'deutan': np.array([1.10, -0.1, 0.1]),
'protan': np.array([0.753, 0.247, 0]),
'tritan': np.array([0.17, 0, 0.83]),
}
for deficit in CIEcopunctuals:
space.plotColorSpace(rVal=jv[:, 0], gVal=jv[:, 1],
spec=space.spectrum)
print deficit, ': ', CIEcopunctuals[deficit]
if deficit.lower() == 'deutan' or deficit.lower() == 'protan':
lambdas = [420, 460, 470, 480, 490, 500, 515,]
elif deficit.lower() == 'tritan':
lambdas = [420, 460, 480, 500, 520, 535, 545, 555,
570, 585, 600, 625, 700]
space.cs_ax.plot(CIEcopunctuals[deficit][0],
CIEcopunctuals[deficit][1], 'ko', markersize=8)
for lam in lambdas:
R, G, B = jv[:, 0], jv[:, 1], jv[:, 2]
space.cs_ax.plot([space.find_testLightMatch(lam,
R, G, B)[0],
CIEcopunctuals[deficit][0]],
[space.find_testLightMatch(lam,
R, G, B)[1],
CIEcopunctuals[deficit][1]],
'k-', linewidth=1)
space.cs_ax.plot([jv[-1, 0], jv[0, 0]],
[jv[-1, 1], jv[0, 1]], 'k-', linewidth=3)
space.cs_ax.set_clip_path(clip_area)
space.cs_ax.set_ylim([-0.12, 0.9])
space.cs_ax.set_xlim([-0.05, 1.15])
space.cs_ax.set_xlabel('x', fontsize=10)
space.cs_ax.set_ylabel('y', fontsize=10)
space.cs_ax.text(0.8, 1, deficit, fontsize=18,
horizontalalignment='right',
verticalalignment='top',
transform=space.cs_ax.transAxes)
fig.set_tight_layout(True)
plt.show()
def plotCMFs():
'''
'''
space = colorSpace()
fig = plt.figure()
fig.set_tight_layout(True)
ax = fig.add_subplot(111)
pf.AxisFormat()
pf.TufteAxis(ax, ['left', 'bottom'], Nticks=[5, 5])
ax.plot(space.spectrum, space.CMFs[0, :], 'r', linewidth=2)
ax.plot(space.spectrum, space.CMFs[1, :], 'g', linewidth=2)
ax.plot(space.spectrum, space.CMFs[2, :], 'b', linewidth=2)
ax.set_xlim([space.spectrum[0], space.spectrum[-1]])
ax.set_xlabel('wavelength (nm)')
ax.set_ylabel('sensitivity')
plt.show()
def plotcoeff():
'''
'''
space = colorSpace()
fig = plt.figure()
fig.set_tight_layout(True)
ax = fig.add_subplot(111)
pf.AxisFormat()
pf.TufteAxis(ax, ['left', 'bottom'], Nticks=[5, 5])
ax.plot(space.spectrum, space.rVal, 'r', linewidth=2)
ax.plot(space.spectrum, space.gVal, 'g', linewidth=2)
ax.plot(space.spectrum, space.bVal, 'b', linewidth=2)
ax.set_xlim([space.spectrum[0], space.spectrum[-1]])
ax.set_xlabel('wavelength (nm)')
ax.set_ylabel('coefficients')
plt.show()
def plotColorSpace(color):
'''
'''
space = colorSpace(fundamental='neitz', LMSpeaks=[559, 530, 421])
space.plotColorSpace(color=color)
plt.show()
def plot_dichromatic_system(hybrid='ls', clip=True):
'''
'''
space = colorSpace(fundamental='neitz', LMSpeaks=[559, 530, 421])
space.plotColorSpace()
for x in np.arange(0, 1.1, 0.1):
if hybrid.lower() == 'ls' or hybrid.lower() == 'sl':
s = x
m = 0
l = -(1.0 - x)
elif hybrid.lower() == 'lm' or hybrid.lower() == 'ml':
s = 0
m = x
l = -(1.0 - x)
elif hybrid.lower() == 'ms' or hybrid.lower() == 'sm':
s = x
m = -(1.0 - x)
l = 0
else:
raise InputError('hybrid must be ls, lm or ms')
copunct = space.lms_to_rgb([l, m, s])
neutral_points = space.find_spect_neutral(copunct)
for neut in neutral_points:
space.cs_ax.plot([neut[0], copunct[0]], [neut[1], copunct[1]],
'-o', c=(np.abs(l), np.abs(m), np.abs(s)),
markersize=8, linewidth=2)
if clip is True:
space.cs_ax.set_xlim([-0.4, 1.2])
space.cs_ax.set_ylim([-0.2, 1.2])
plt.show()
def plotConfusionLines(deficit='tritan', clip=True):
'''add confusion lines
'''
space = colorSpace(fundamental='neitz', LMSpeaks=[559, 530, 417])
space.plotColorSpace()
space.find_copunctuals()
print deficit, ': ', space.copunctuals[deficit]
if deficit.lower() == 'deutan' or deficit.lower() == 'protan':
lambdas = [420, 460, 470, 480, 490, 500, 515,]
elif deficit.lower() == 'tritan':
lambdas = [420, 460, 480, 500, 520, 535, 545, 555,
570, 585, 600, 625, 700]
space.cs_ax.plot(space.copunctuals[deficit][0],
space.copunctuals[deficit][1], 'ko', markersize=8)
for lam in lambdas:
space.cs_ax.plot([space.find_testLightMatch(lam)[0],
space.copunctuals[deficit][0]],
[space.find_testLightMatch(lam)[1],
space.copunctuals[deficit][1]],
'k-', linewidth=1)
space.cs_ax.text(0.7, 1, deficit, fontsize=18)
if clip is True:
space.cs_ax.set_xlim([-0.4, 1.2])
space.cs_ax.set_ylim([-0.2, 1.2])
plt.show()
def main(args):
'''
'''
if args.CMFs:
plotCMFs()
if args.coeff:
plotcoeff()
if args.ColorSpace:
plotColorSpace(color=args.color)
if args.ConfusionLines:
plotConfusionLines()
if args.dichromat:
plot_dichromatic_system(hybrid=args.hybrid)
if args.ConeSpace:
plotConeSpace()
if args.LUV:
plotLUV()
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description="Color Space: display Neitz or Stockman\
derived color spaces")
parser.add_argument("-y", "--CMFs", action="store_true",
help="plot color matching functions")
parser.add_argument("-f", "--coeff", action="store_true",
help="plot x,y,z coefficients")
parser.add_argument("-i", "--ColorSpace", action="store_true",
help="plot color space")
parser.add_argument("-c", "--ConfusionLines", action="store_true",
help="plot color space with confusion lines")
parser.add_argument("-d", "--dichromat", action="store_true",
help="plot blue-yellow system on color space")
parser.add_argument("--hybrid", type=str, default='ls',
help="set hybrid pigment for dichromatic system")
parser.add_argument("-o", "--ConeSpace", action="store_true",
help="displace cone space plot")
parser.add_argument("-l", "--LUV", action="store_true",
help="display best fit LUV space")
parser.add_argument("--color", action="store_true",
help="add color to Neitz color space")
args = parser.parse_args()
main(args)