HomeSort by relevance Sort by last modified time
    Searched refs:lumas (Results 1 - 2 of 2) sorted by null

  /cts/apps/CameraITS/tests/scene1/
test_ev_compensation_basic.py 38 lumas = []
52 lumas.append(its.image.compute_image_means(tile)[0])
54 pylab.plot(evs, lumas, 'r')
58 while lumas and lumas[-1] == 1.0:
59 lumas.pop(-1)
61 assert(len(lumas) > 2)
62 luma_diffs = numpy.diff(lumas)
test_ev_compensation_advanced.py 46 lumas = []
66 lumas.append(its.image.compute_image_means(tile)[0])
70 imid = len(lumas) / 2
71 expected_lumas = [lumas[imid] / pow(luma_increase_per_step, i)
73 [lumas[imid] * pow(luma_increase_per_step, i-imid)
76 pylab.plot(evs, lumas, 'r')
80 luma_diffs = [expected_lumas[i] - lumas[i] for i in range(len(evs))]
83 print "Max delta between modeled and measured lumas:", max_diff
84 print "Avg delta between modeled and measured lumas:", avg_diff

Completed in 54 milliseconds