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    Searched refs:variances (Results 1 - 8 of 8) sorted by null

  /cts/apps/CameraITS/tests/scene1/
test_raw_sensitivity.py 52 variances = []
85 variances.append(var)
88 x = range(len(variances))
89 pylab.plot(x, variances, "-ro")
96 for i in range(len(variances) - 1):
97 assert variances[i] < variances[i+1] / VAR_THRESH
test_raw_burst_sensitivity.py 76 variances = []
96 variances.append(var)
99 x = range(len(variances))
100 pylab.plot(x, variances, "-ro")
109 assert variances[i] < variances[i+1] / VAR_THRESH
  /cts/tests/tests/uirendering/src/android/uirendering/cts/bitmapcomparers/
MSSIMComparer.java 59 double[] variances = getVariances(ideal, given, meanX, meanY, start, stride); local
60 double varX = variances[0];
61 double varY = variances[1];
62 double stdBoth = variances[2];
  /cts/tests/tests/transition/src/android/transition/cts/
FadeTest.java 238 double[] variances = getVariances(expected, real, meanX, meanY, x, y); local
239 double varX = variances[0];
240 double varY = variances[1];
241 double stdBoth = variances[2];
  /cts/apps/CameraITS/pymodules/its/
image.py 680 variances = []
683 variances.append(numpy.var(img[:,:,i], dtype=numpy.float64))
684 return variances
697 variances = compute_image_variances(img)
698 std_devs = [math.sqrt(v) for v in variances]
    [all...]
  /external/tensorflow/tensorflow/python/layers/
normalization_test.py     [all...]
  /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/
ar_model_test.py 170 variances = predictions["covariance"][:, 0]
171 standard_deviations = np.sqrt(variances)
model.py 132 self._stats_means, variances = (
134 self._stats_sigmas = math_ops.sqrt(variances)
144 """Scale variances according to stats (input scale -> model scale)."""
158 """Scale back variances according to stats (model scale -> input scale)."""
    [all...]

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