| /dports/misc/vxl/vxl-3.3.2/contrib/brl/bseg/bapl/tests/ |
| H A D | test_lowe_pyramid_set.cxx | 19 vil_image_view<float> gaussian(512,512); in MAIN() local
24 gaussian(i,j) = (float)std::exp(-(x*x+y*y)/(2.0*sigma*sigma)); in MAIN()
29 vil_convert_stretch_range(gaussian, save_img); in MAIN()
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| /dports/graphics/vips/vips-8.12.0/libvips/create/ |
| H A D | mask_gaussian_ring.c | 69 VipsMaskGaussian *gaussian = (VipsMaskGaussian *) mask; in vips_mask_gaussian_ring_point() local
73 double fc = gaussian->frequency_cutoff; in vips_mask_gaussian_ring_point()
74 double ac = gaussian->amplitude_cutoff; in vips_mask_gaussian_ring_point()
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| /dports/games/kuklomenos/kuklomenos-0.4.5/ |
| H A D | background.cc | 84 gaussianSample[i] = int(gaussian() * ( in drawBackground()
177 int(gaussian()*0x0b), int(gaussian()*0x0b), int(gaussian()*0x0b)); in randomStarColour()
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| /dports/math/R-cran-KFAS/KFAS/R/ |
| H A D | print.objects.R | 49 gaussian<-all(x$all_gaussian) functionVar
50 print_this <- cbind(x$a[n + gaussian, ], sqrt(x$P[, , n + gaussian][mdiag]))
52 if(gaussian){
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| /dports/math/mlpack/mlpack-3.4.2/src/mlpack/methods/gmm/ |
| H A D | gmm.cpp | 107 size_t gaussian = 0; in Random() local
115 gaussian = g; in Random()
121 if (!arma::chol(cholDecomp, dists[gaussian].Covariance())) in Random()
126 arma::randn<arma::vec>(dimensionality) + dists[gaussian].Mean(); in Random()
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| H A D | diagonal_gmm.cpp | 109 size_t gaussian = 0; in Random() local
117 gaussian = g; in Random()
122 return arma::sqrt(dists[gaussian].Covariance()) % in Random()
123 arma::randn<arma::vec>(dimensionality) + dists[gaussian].Mean(); in Random()
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| /dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/feature/ |
| H A D | _canny.py | 19 from .._shared.filters import gaussian
21 from ..filters._gaussian import gaussian
70 smoothed_image = gaussian(image, **gaussian_kwargs)
85 gaussian(mask.astype(float), **gaussian_kwargs) + np.finfo(float).eps
89 smoothed_image = gaussian(masked_image, **gaussian_kwargs)
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| /dports/science/openmx/openmx3.8/source/ |
| H A D | OpticalConductivityMain.c | 38 double gaussian; /* gaussian broadening */ variable
167 gaussian=1/eV2Hartree; in input_ask()
171 printf(" # gaussian=%lf\n",gaussian); in input_ask()
230 iewidth = gaussian/freqmax* Nbin * 5.0; in calc_opticalconductivity()
261 xa = (ene[ie] - w )/gaussian; in calc_opticalconductivity()
265 dos[spin][ie][iaxis1][iaxis2] += val* exp(-xa*xa) / (gaussian*pi2) ; in calc_opticalconductivity()
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| /dports/science/py-openpiv/openpiv-python-0.23.8/openpiv/docs/src/generated/ |
| H A D | openpiv.filters.gaussian.rst | 1 openpiv.filters.gaussian
6 .. autofunction:: gaussian
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| /dports/science/votca/votca-2021.2-18560-gfbe18d971/xtp/xtp-2a31d70/src/libxtp/ |
| H A D | ecpbasisset.cc | 104 for (const auto& gaussian : shell.gaussians_) { in operator <<() local
105 out << " Gaussian Decay: " << gaussian.decay_; in operator <<()
106 out << " Power: " << gaussian.power_; in operator <<()
107 out << " Contraction:" << gaussian.contraction_ << "\n"; in operator <<()
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| /dports/science/votca/votca-2021.2-18560-gfbe18d971/xtp/src/libxtp/ |
| H A D | ecpbasisset.cc | 104 for (const auto& gaussian : shell.gaussians_) { in operator <<() local
105 out << " Gaussian Decay: " << gaussian.decay_; in operator <<()
106 out << " Power: " << gaussian.power_; in operator <<()
107 out << " Contraction:" << gaussian.contraction_ << "\n"; in operator <<()
|
| /dports/mail/nextcloud-mail/mail/vendor/rubix/tensor/benchmarks/Random/ |
| H A D | GaussianVectorBench.php | 17 public function gaussian() : void function in Tensor\\Benchmarks\\Random\\GaussianMVectorBench
19 Vector::gaussian(100000);
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| H A D | GaussianMatrixBench.php | 17 public function gaussian() : void function in Tensor\\Benchmarks\\Random\\GaussianMatrixBench
19 Matrix::gaussian(500, 500);
|
| /dports/emulators/mess/mame-mame0226/bgfx/effects/pillarbox_left_horizontal/ |
| H A D | gaussian.json | 5 // gaussian.json: Separable gaussian blur.
|
| /dports/emulators/mess/mame-mame0226/bgfx/effects/pillarbox_left_vertical/ |
| H A D | gaussian.json | 5 // gaussian.json: Separable gaussian blur.
|
| /dports/emulators/mess/mame-mame0226/bgfx/effects/pillarbox_right_horizontal/ |
| H A D | gaussian.json | 5 // gaussian.json: Separable gaussian blur.
|
| /dports/emulators/mess/mame-mame0226/bgfx/effects/pillarbox_right_vertical/ |
| H A D | gaussian.json | 5 // gaussian.json: Separable gaussian blur.
|
| /dports/emulators/mame/mame-mame0226/bgfx/effects/pillarbox_left_vertical/ |
| H A D | gaussian.json | 5 // gaussian.json: Separable gaussian blur.
|
| /dports/emulators/mame/mame-mame0226/bgfx/effects/pillarbox_right_horizontal/ |
| H A D | gaussian.json | 5 // gaussian.json: Separable gaussian blur.
|
| /dports/emulators/mame/mame-mame0226/bgfx/effects/pillarbox_right_vertical/ |
| H A D | gaussian.json | 5 // gaussian.json: Separable gaussian blur.
|
| /dports/emulators/mame/mame-mame0226/bgfx/effects/pillarbox_left_horizontal/ |
| H A D | gaussian.json | 5 // gaussian.json: Separable gaussian blur.
|
| /dports/science/py-avogadrolibs/avogadrolibs-1.94.0/avogadro/io/ |
| H A D | cjsonformat.cpp | 442 auto symmetry = gaussian->symmetry(); in write()
466 if (gaussian->gtoIndices().size() && gaussian->atomIndices().size()) { in write()
467 auto gtoIndices = gaussian->gtoIndices(); in write()
468 auto gtoA = gaussian->gtoA(); in write()
475 auto atomIndices = gaussian->atomIndices(); in write()
482 auto gtoC = gaussian->gtoC(); in write()
498 auto moMatrix = gaussian->moMatrix(); in write()
499 auto betaMatrix = gaussian->moMatrix(BasisSet::Beta); in write()
518 auto energies = gaussian->moEnergy(); in write()
527 auto occ = gaussian->moOccupancy(); in write()
[all …]
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| /dports/science/avogadrolibs/avogadrolibs-1.94.0/avogadro/io/ |
| H A D | cjsonformat.cpp | 442 auto symmetry = gaussian->symmetry(); in write()
466 if (gaussian->gtoIndices().size() && gaussian->atomIndices().size()) { in write()
467 auto gtoIndices = gaussian->gtoIndices(); in write()
468 auto gtoA = gaussian->gtoA(); in write()
475 auto atomIndices = gaussian->atomIndices(); in write()
482 auto gtoC = gaussian->gtoC(); in write()
498 auto moMatrix = gaussian->moMatrix(); in write()
499 auto betaMatrix = gaussian->moMatrix(BasisSet::Beta); in write()
518 auto energies = gaussian->moEnergy(); in write()
527 auto occ = gaussian->moOccupancy(); in write()
[all …]
|
| /dports/math/p5-Math-Random-MT-Auto/Math-Random-MT-Auto-6.23/ |
| H A D | MRMA.xs | 175 } gaussian; member
397 # gaussian
405 gaussian(...)
413 if (prng->gaussian.have) {
415 RETVAL = prng->gaussian.value;
416 prng->gaussian.have = 0;
433 prng->gaussian.value = v2 * factor;
434 prng->gaussian.have = 1;
806 av_push(state, newSViv(prng->gaussian.have));
807 av_push(state, newSVnv(prng->gaussian.value));
[all …]
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| /dports/graphics/py-scikit-image/scikit-image-0.19.0/doc/examples/edges/ |
| H A D | plot_active_contours.py | 32 from skimage.filters import gaussian
44 snake = active_contour(gaussian(img, 3, preserve_range=False),
68 snake = active_contour(gaussian(img, 1, preserve_range=False),
|