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  /cts/apps/CameraITS/tests/scene1/
test_ev_compensation_basic.py 39 lumas = []
53 lumas.append(its.image.compute_image_means(tile)[0])
55 pylab.plot(evs, lumas, 'r')
59 while lumas and lumas[-1] == 1.0:
60 lumas.pop(-1)
62 assert(len(lumas) > 2)
63 luma_diffs = numpy.diff(lumas)
test_ev_compensation_advanced.py 48 lumas = []
68 lumas.append(its.image.compute_image_means(tile)[0])
72 luma_normal = lumas[imid] / shift_mid
75 pylab.plot(ev_steps, lumas, 'r')
79 luma_diffs = [expected_lumas[i] - lumas[i] for i in range(len(ev_steps))]
82 print "Max delta between modeled and measured lumas:", max_diff
83 print "Avg delta between modeled and measured lumas:", avg_diff

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