OpenGrok
Home
Sort by relevance
Sort by last modified time
Full Search
Definition
Symbol
File Path
History
|
|
Help
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
...]
Completed in 135 milliseconds