| /external/opencv/cv/src/ |
| D | cvmoments.cpp | 45 icvCompleteMomentState( CvMoments* moments ) in icvCompleteMomentState() argument
50 assert( moments != 0 ); in icvCompleteMomentState()
51 moments->inv_sqrt_m00 = 0; in icvCompleteMomentState()
53 if( fabs(moments->m00) > DBL_EPSILON ) in icvCompleteMomentState()
55 double inv_m00 = 1. / moments->m00; in icvCompleteMomentState()
56 cx = moments->m10 * inv_m00; in icvCompleteMomentState()
57 cy = moments->m01 * inv_m00; in icvCompleteMomentState()
58 moments->inv_sqrt_m00 = sqrt( fabs(inv_m00) ); in icvCompleteMomentState()
62 mu20 = moments->m20 - moments->m10 * cx; in icvCompleteMomentState()
64 mu11 = moments->m11 - moments->m10 * cy; in icvCompleteMomentState()
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| D | cvcamshift.cpp | 64 CvMoments moments; in cvMeanShift() local
75 moments.m00 = moments.m10 = moments.m01 = 0; in cvMeanShift()
101 CV_CALL( cvMoments( &cur_win, &moments )); in cvMeanShift()
104 if( fabs(moments.m00) < DBL_EPSILON ) in cvMeanShift()
107 inv_m00 = moments.inv_sqrt_m00*moments.inv_sqrt_m00; in cvMeanShift()
108 dx = cvRound( moments.m10 * inv_m00 - windowIn.width*0.5 ); in cvMeanShift()
109 dy = cvRound( moments.m01 * inv_m00 - windowIn.height*0.5 ); in cvMeanShift()
139 comp->area = (float)moments.m00; in cvMeanShift()
171 CvMoments moments; in cvCamShift() local
212 CV_CALL( cvMoments( &cur_win, &moments )); in cvCamShift()
[all …]
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| D | cvmatchcontours.cpp | 61 CvMoments moments; in cvMatchShapes() local
77 CV_CALL( cvMoments( contour1, &moments )); in cvMatchShapes()
80 CV_CALL( cvGetHuMoments( &moments, &huMoments )); in cvMatchShapes()
92 CV_CALL( cvMoments( contour2, &moments )); in cvMatchShapes()
95 CV_CALL( cvGetHuMoments( &moments, &huMoments )); in cvMatchShapes()
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | parameterized_truncated_normal_op_test.py | 84 moments = [0.0] * (max_moment + 1)
87 for k in range(len(moments)):
88 moments[k] += value
90 for i in range(len(moments)):
91 moments[i] /= len(samples)
92 return moments
123 moments = calculate_moments(samples, self.max_moment)
126 for i in range(1, len(moments)):
128 z_test(moments, expected_moments, i, num_samples), self.z_limit)
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| /external/tensorflow/tensorflow/core/lib/random/ |
| D | random_distributions_test.cc | 79 std::vector<double> moments(max_moments + 1); in CheckSamplesMoments() local
80 double* const moments_data = &moments[0]; in CheckSamplesMoments()
102 moments[i] /= moments_sample_count[i]; in CheckSamplesMoments()
126 fabs((moments[i] - moments_i_mean) / sqrt(total_variance)); in CheckSamplesMoments()
132 << " measured moments: " << moments[i] in CheckSamplesMoments()
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| /external/tensorflow/tensorflow/python/kernel_tests/random/ |
| D | random_poisson_test.py | 69 moments = [0] * (max_moment + 1)
78 moments[i] += moment
82 moments[i] /= moments_sample_count[i]
102 (moments[i] - moments_i_mean) / np.sqrt(total_variance))
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| D | random_gamma_test.py | 94 moments = [0] * (max_moment + 1)
103 moments[i] += moment
107 moments[i] /= moments_sample_count[i]
132 (moments[i] - moments_i_mean) / math.sqrt(total_variance))
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_BatchNormWithGlobalNormalization.pbtxt | 13 This is the first output from tf.nn.moments,
21 This is the second output from tf.nn.moments,
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| D | api_def_BatchNormWithGlobalNormalizationGrad.pbtxt | 13 This is the first output from tf.nn.moments,
21 This is the second output from tf.nn.moments,
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| D | api_def_QuantizedBatchNormWithGlobalNormalization.pbtxt | 25 This is the first output from tf.nn.moments,
45 This is the second output from tf.nn.moments,
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| /external/tensorflow/tensorflow/contrib/nn/python/ops/ |
| D | alpha_dropout_test.py | 39 t_mean, t_std = nn_impl.moments(t, axes=[0, 1])
40 output_mean, output_std = nn_impl.moments(output, axes=[0, 1])
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| /external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
| D | virtual_batchnorm_test.py | 59 mom_mean, mom_var = nn.moments(tensors, axes)
82 mom_mean, mom_variance = nn.moments(full_batch, reduction_axes)
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| /external/ImageMagick/MagickCore/ |
| D | statistic.c | 1784 *moments; in GetImagePerceptualHash() local
1811 moments=GetImageMoments(hash_image,exception); in GetImagePerceptualHash()
1813 if (moments == (ChannelMoments *) NULL) in GetImagePerceptualHash()
1822 (-MagickLog10(moments[channel].invariant[i])); in GetImagePerceptualHash()
1823 moments=(ChannelMoments *) RelinquishMagickMemory(moments); in GetImagePerceptualHash()
1842 moments=GetImageMoments(hash_image,exception); in GetImagePerceptualHash()
1844 if (moments == (ChannelMoments *) NULL) in GetImagePerceptualHash()
1853 (-MagickLog10(moments[channel].invariant[i])); in GetImagePerceptualHash()
1854 moments=(ChannelMoments *) RelinquishMagickMemory(moments); in GetImagePerceptualHash()
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| /external/opencv/cv/include/ |
| D | cv.h | 348 CVAPI(void) cvMoments( const CvArr* arr, CvMoments* moments, int binary CV_DEFAULT(0)); in LOAD_CHDL()
351 CVAPI(double) cvGetSpatialMoment( CvMoments* moments, int x_order, int y_order ); in LOAD_CHDL()
352 CVAPI(double) cvGetCentralMoment( CvMoments* moments, int x_order, int y_order ); in LOAD_CHDL()
353 CVAPI(double) cvGetNormalizedCentralMoment( CvMoments* moments, in LOAD_CHDL()
357 CVAPI(void) cvGetHuMoments( CvMoments* moments, CvHuMoments* hu_moments ); in LOAD_CHDL()
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| D | cvcompat.h | 344 #define cvContourMoments( contour, moments ) \ argument
345 cvMoments( contour, moments, 0 )
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | normalization.py | 153 mean, variance = nn.moments(inputs, moments_axes, keep_dims=True)
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| D | layers.py | 774 mean, variance = nn.moments(inputs, moments_axes, keep_dims=True)
778 mean, variance = nn.moments(inputs, moments_axes)
2173 mean, variance = nn.moments(inputs, norm_axes, keep_dims=True)
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| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| D | optimizers.py | 190 moments = [K.zeros(shape) for shape in shapes]
191 self.weights = [self.iterations] + moments
192 for p, g, m in zip(params, grads, moments):
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| /external/tensorflow/tensorflow/contrib/gan/python/eval/python/ |
| D | sliced_wasserstein_impl.py | 127 mean, variance = nn.moments(patches, [1, 2, 3], keep_dims=True)
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| /external/tensorflow/tensorflow/python/ops/ |
| D | batch_norm_benchmark.py | 99 mean, variance = nn_impl.moments(tensor, axes, keep_dims=keep_dims)
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| D | nn_impl.py | 652 def moments( function
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| /external/python/cpython2/Doc/library/ |
| D | htmllib.rst | 53 The parser will call these at appropriate moments: :meth:`start_tag` or
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| /external/tensorflow/tensorflow/python/layers/ |
| D | normalization.py | 563 mean, variance = nn.moments(inputs, reduction_axes, keep_dims=keep_dims)
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| /external/valgrind/ |
| D | README_MISSING_SYSCALL_OR_IOCTL | 197 much the same as writing ioctl wrappers. Please take a few moments to study
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| D | math_utils.py | 860 mean, variance = nn.moments(
|