print("Measurement failed for color %s ." %str(color))
if(eye_one.I1_GetTriStimulus(tristim, 0) != eNoError):
print("Failed to get TriStimulus for color %s ."
%str(color))
if(eye_one.I1_GetSpectrum(spectrum, 0) != eNoError):
print("Failed to get spectrum for color %s ."
%str(color))
xyY_list.append(list(tristim))
if isinstance(color, int):
calibfile.write(str(color) + ", " +
", ".join([str(x) for x in tristim]) +
", " + ", ".join([str(x) for x in spectrum]) +
"\n")
else:
calibfile.write(", ".join([str(x) for x in color]) +
", " + ", ".join([str(x) for x in tristim]) +
", " + ", ".join([str(x) for x in spectrum]) +
"\n")
print("Measurement finished.")
if(__name__=="__main__"):
from grey_dict import grey_dict
greylist = grey_dict.values()
greylist = greylist[720:730]
getDepth_pyglet(greylist, imi=1, n=5)
if (eye_one.I1_TriggerMeasurement() != eNoError):
print("Measurement failed for color %s ." % str(color))
if (eye_one.I1_GetTriStimulus(tristim, 0) != eNoError):
print("Failed to get TriStimulus for color %s ." %
str(color))
if (eye_one.I1_GetSpectrum(spectrum, 0) != eNoError):
print("Failed to get spectrum for color %s ." % str(color))
xyY_list.append(list(tristim))
if isinstance(color, int):
calibfile.write(
str(color) + ", " +
", ".join([str(x) for x in tristim]) + ", " +
", ".join([str(x) for x in spectrum]) + "\n")
else:
calibfile.write(", ".join([str(x) for x in color]) + ", " +
", ".join([str(x)
for x in tristim]) + ", " +
", ".join([str(x)
for x in spectrum]) + "\n")
print("Measurement finished.")
if (__name__ == "__main__"):
from grey_dict import grey_dict
greylist = grey_dict.values()
greylist = greylist[720:730]
getDepth_pyglet(greylist, imi=1, n=5)
#!/usr/bin/env python # -*- encoding: utf-8 -*- # plot_grey_dict.py # # (c) 2010 Konstantin Sering, Nora Umbach, Dominik Wabersich # <colorlab[at]psycho.uni-tuebingen.de> # # GPL 3.0+ or (cc) by-sa (http://creativecommons.org/licenses/by-sa/3.0/) # # content: # # input: -- # output: -- # # created 2012-02-07 KS # last mod 2012-02-07 KS import numpy as np import pylab from grey_dict import grey_dict image = np.repeat(np.array(grey_dict.values(), ndmin=3), 1024, 0) image = np.uint8(image) pylab.imshow(image) pylab.show()
