/dports/graphics/vigra/vigra-8acd73a/include/vigra/ |
H A D | tv_filter.hxx | 178 separableConvolveX(srcImageRange(vx),destImage(temp1),kernel1d(LTx)); in doxygen_overloaded_function() 179 separableConvolveY(srcImageRange(vy),destImage(temp2),kernel1d(LTx)); in doxygen_overloaded_function() 196 separableConvolveX(srcImageRange(vx),destImage(temp1),kernel1d(LTx)); in doxygen_overloaded_function() 197 separableConvolveY(srcImageRange(vy),destImage(temp2),kernel1d(LTx)); in doxygen_overloaded_function() 247 separableConvolveX(srcImageRange(vx),destImage(temp1),kernel1d(LTx)); in totalVariationFilter() 248 separableConvolveY(srcImageRange(vy),destImage(temp2),kernel1d(LTx)); in totalVariationFilter() 265 separableConvolveX(srcImageRange(vx),destImage(temp1),kernel1d(LTx)); in totalVariationFilter() 522 separableConvolveX(srcImageRange(vx),destImage(temp1),kernel1d(LTx)); in doxygen_overloaded_function() 523 separableConvolveY(srcImageRange(vy),destImage(temp2),kernel1d(LTx)); in doxygen_overloaded_function() 723 separableConvolveX(srcImageRange(vx),destImage(temp1),kernel1d(LTx)); in doxygen_overloaded_function() [all …]
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H A D | convolution.hxx | 333 destImage(tmp), kernel1d(kx)); in doxygen_overloaded_function() 759 destImage(tmp), kernel1d(smooth_x)); in doxygen_overloaded_function() 963 destImage(tmp), kernel1d(grad)); in doxygen_overloaded_function() 967 destImage(tmp), kernel1d(smooth)); in doxygen_overloaded_function() 1326 destImage(tmp), kernel1d(deriv)); in doxygen_overloaded_function() 1328 destImage(tmpx), kernel1d(smooth)); in doxygen_overloaded_function() 1330 destImage(tmp), kernel1d(smooth)); in doxygen_overloaded_function() 1332 destImage(tmpy), kernel1d(deriv)); in doxygen_overloaded_function() 1490 destImage(tmp), kernel1d(deriv2)); in doxygen_overloaded_function() 1494 destImage(tmp), kernel1d(smooth)); in doxygen_overloaded_function() [all …]
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H A D | separableconvolution.hxx | 1143 destImage(dest), kernel1d(kernel)); in separableConvolveX() 1298 destImage(dest), kernel1d(kernel)); in separableConvolveY() 2543 kernel1d(KernelIterator ik, KernelAccessor ka, in kernel1d() function 2555 kernel1d(Kernel1D<T> const & k) in kernel1d() function 2571 kernel1d(Kernel1D<T> const & k, BorderTreatmentMode border) in kernel1d() function
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H A D | slanted_edge_mtf.hxx | 319 separableConvolveX(srcImageRange(img), destImage(grad), kernel1d(kgrad)); in slantedEdgeSubpixelShift() 460 separableConvolveX(srcImageRange(magnitude), destImage(smooth), kernel1d(gauss)); in slantedEdgeMTFImpl()
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H A D | multi_convolution.hxx | 554 kernel1d( *kit ) ); in internalSeparableConvolveMultiArrayTmp() 573 kernel1d( *kit ) ); in internalSeparableConvolveMultiArrayTmp() 642 kernel1d( kit[axisorder[0]] ), lstart, lstop); in internalSeparableConvolveSubarray() 663 kernel1d( kit[axisorder[d]] ), lstart, lstop); in internalSeparableConvolveSubarray() 1138 kernel1d( kernel), start[dim], stop[dim]); in doxygen_overloaded_function()
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/dports/graphics/panomatic/panomatic-0.9.4/vigra/include/vigra/ |
H A D | convolution.hxx | 304 destImage(tmp), kernel1d(kx)); in RepeatingOnConstructor() 611 destImage(tmp), kernel1d(smooth)); in RepeatingOnConstructor() 727 destImage(tmp), kernel1d(grad)); in RepeatingOnConstructor() 731 destImage(tmp), kernel1d(smooth)); in RepeatingOnConstructor() 924 destImage(tmp), kernel1d(deriv)); in RepeatingOnConstructor() 926 destImage(tmpx), kernel1d(smooth)); in RepeatingOnConstructor() 928 destImage(tmp), kernel1d(smooth)); in RepeatingOnConstructor() 930 destImage(tmpy), kernel1d(deriv)); in RepeatingOnConstructor() 1049 destImage(tmp), kernel1d(deriv2)); in RepeatingOnConstructor() 1053 destImage(tmp), kernel1d(smooth)); in RepeatingOnConstructor() [all …]
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H A D | multi_convolution.hxx | 96 kernel1d( *kit ) ); in internalSeparableConvolveMultiArrayTmp() 117 kernel1d( *kit ) ); in internalSeparableConvolveMultiArrayTmp() 374 kernel1d( kernel ) ); in convolveMultiArrayOneDimension()
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H A D | slanted_edge_mtf.hxx | 321 separableConvolveX(srcImageRange(img), destImage(grad), kernel1d(kgrad)); in slantedEdgeSubpixelShift() 461 separableConvolveX(srcImageRange(magnitude), destImage(smooth), kernel1d(gauss)); in slantedEdgeMTFImpl()
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H A D | edgedetection.hxx | 1340 separableConvolveX(srcIterRange(ul, lr, src), destImage(tmp), kernel1d(grad)); in cannyEdgelList() 1341 separableConvolveY(srcImageRange(tmp), destImage(dx), kernel1d(smooth)); in cannyEdgelList() 1343 separableConvolveY(srcIterRange(ul, lr, src), destImage(tmp), kernel1d(grad)); in cannyEdgelList() 1344 separableConvolveX(srcImageRange(tmp), destImage(dy), kernel1d(smooth)); in cannyEdgelList()
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H A D | separableconvolution.hxx | 1676 kernel1d(KernelIterator ik, KernelAccessor ka, in kernel1d() function 1688 kernel1d(Kernel1D<T> const & k) in kernel1d() function 1704 kernel1d(Kernel1D<T> const & k, BorderTreatmentMode border) in kernel1d() function
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/dports/graphics/vigra/vigra-8acd73a/test/multiconvolution/ |
H A D | speedtest.cxx | 52 kernel1d( *kit ) ); in convolveCDR() 68 kernel1d( *kit ) ); in convolveCDR() 118 kernel1d( *kit ) ); in convolveCopyDest() 138 kernel1d( *kit ) ); in convolveCopyDest() 193 kernel1d( *kit ) ); in convolveCopySrc() 213 kernel1d( *kit ) ); in convolveCopySrc()
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/dports/graphics/vigra/vigra-8acd73a/test/convolution/ |
H A D | test.cxx | 782 separableConvolveY(srcImageRange(tmp1), destImage(tmp2), kernel1d(binom)); in separableConvolutionTest() 966 separableConvolveY(srcImageRange(tmp1), destImage(tmp2), kernel1d(gauss)); in gaussianSmoothingTest() 1074 separableConvolveX(srcImageRange(lenna), destImage(tmp3), kernel1d(grad)); in separableGradientTest() 1078 separableConvolveY(srcImageRange(tmp3), destImage(tmp2), kernel1d(grad)); in separableGradientTest() 1146 separableConvolveX(srcImageRange(lenna), destImage(tmp), kernel1d(diff)); in optimalGradient3Test() 1150 separableConvolveY(srcImageRange(tmp), destImage(tmpy), kernel1d(diff)); in optimalGradient3Test() 1182 separableConvolveX(srcImageRange(lenna), destImage(tmp), kernel1d(diff)); in optimalLaplacian3Test() 1186 separableConvolveY(srcImageRange(tmp), destImage(tmpy), kernel1d(diff)); in optimalLaplacian3Test() 1219 separableConvolveX(srcImageRange(lenna), destImage(tmp), kernel1d(diff)); in optimalGradient5Test() 1223 separableConvolveY(srcImageRange(tmp), destImage(tmpy), kernel1d(diff)); in optimalGradient5Test() [all …]
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/dports/math/saga/saga-8.1.3/saga-gis/src/tools/imagery/imagery_vigra/ |
H A D | vigra_smoothing.cpp | 158 separableConvolveX(srcImageRange(Input) , destImage(tmp), kernel1d(gauss)); in On_Execute() 159 separableConvolveY(srcImageRange(tmp), destImage(Output), kernel1d(gauss)); in On_Execute()
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/dports/graphics/vigra/vigra-8acd73a/src/examples/ |
H A D | pyramid.cxx | 70 destImage(tmpimage1), kernel1d(filter)); in reduceToNextLevel() 72 destImage(tmpimage2), kernel1d(filter)); in reduceToNextLevel()
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/dports/graphics/hugin/hugin-2020.0.0/src/hugin_base/vigra_ext/ |
H A D | Pyramid.h | 202 destImage(tmpimage1), kernel1d(filter)); in reduceToNextLevelOld() 204 destImage(tmpimage2), kernel1d(filter)); in reduceToNextLevelOld()
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/dports/math/eigen3/eigen-3.3.9/unsupported/test/ |
H A D | cxx11_tensor_device.cu | 48 const Eigen::Tensor<float, 1>& kernel1d() const { return kernel_1d_; } in kernel1d() function 91 …Eigen::TensorMap<Eigen::Tensor<float, 1> > kernel1d() const { return Eigen::TensorMap<Eigen::Tenso… in kernel1d() function 153 …ice(indices, sizes).device(context->device()) = context->in1().convolve(context->kernel1d(), dims); in test_1d_convolution()
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/dports/math/stanmath/math-4.2.0/lib/eigen_3.3.9/unsupported/test/ |
H A D | cxx11_tensor_device.cu | 48 const Eigen::Tensor<float, 1>& kernel1d() const { return kernel_1d_; } in kernel1d() function 91 …Eigen::TensorMap<Eigen::Tensor<float, 1> > kernel1d() const { return Eigen::TensorMap<Eigen::Tenso… in kernel1d() function 153 …ice(indices, sizes).device(context->device()) = context->in1().convolve(context->kernel1d(), dims); in test_1d_convolution()
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/dports/math/libsemigroups/libsemigroups-1.3.7/extern/eigen-3.3.7/unsupported/test/ |
H A D | cxx11_tensor_device.cu | 48 const Eigen::Tensor<float, 1>& kernel1d() const { return kernel_1d_; } in kernel1d() function 91 …Eigen::TensorMap<Eigen::Tensor<float, 1> > kernel1d() const { return Eigen::TensorMap<Eigen::Tenso… in kernel1d() function 153 …ice(indices, sizes).device(context->device()) = context->in1().convolve(context->kernel1d(), dims); in test_1d_convolution()
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/dports/misc/opennn/opennn-5.0.5/eigen/unsupported/test/ |
H A D | cxx11_tensor_device.cu | 48 const Eigen::Tensor<float, 1>& kernel1d() const { return kernel_1d_; } in kernel1d() function 91 …Eigen::TensorMap<Eigen::Tensor<float, 1> > kernel1d() const { return Eigen::TensorMap<Eigen::Tenso… in kernel1d() function 153 …ice(indices, sizes).device(context->device()) = context->in1().convolve(context->kernel1d(), dims); in test_1d_convolution()
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/dports/devel/taskflow/taskflow-3.2.0/3rd-party/eigen-3.3.7/unsupported/test/ |
H A D | cxx11_tensor_device.cu | 48 const Eigen::Tensor<float, 1>& kernel1d() const { return kernel_1d_; } in kernel1d() function 91 …Eigen::TensorMap<Eigen::Tensor<float, 1> > kernel1d() const { return Eigen::TensorMap<Eigen::Tenso… in kernel1d() function 153 …ice(indices, sizes).device(context->device()) = context->in1().convolve(context->kernel1d(), dims); in test_1d_convolution()
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/dports/math/py-pystan/pystan-2.19.0.0/pystan/stan/lib/stan_math/lib/eigen_3.3.3/unsupported/test/ |
H A D | cxx11_tensor_device.cu | 51 const Eigen::Tensor<float, 1>& kernel1d() const { return kernel_1d_; } in kernel1d() function 94 …Eigen::TensorMap<Eigen::Tensor<float, 1> > kernel1d() const { return Eigen::TensorMap<Eigen::Tenso… in kernel1d() function 156 …ice(indices, sizes).device(context->device()) = context->in1().convolve(context->kernel1d(), dims); in test_1d_convolution()
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/dports/graphics/vigra/vigra-8acd73a/vigranumpy/src/core/ |
H A D | kernel.cxx | 259 class_<Kernel1D<T> > kernel1d("Kernel1D", in defineKernels() local 270 kernel1d in defineKernels()
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/dports/misc/tvm/incubator-tvm-0.6.1/nnvm/python/nnvm/frontend/ |
H A D | keras.py | 35 def _get_pad_pair(input1d, kernel1d, stride1d): argument 37 pad = np.maximum((out1d - 1) * stride1d + kernel1d - input1d, 0)
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H A D | tensorflow.py | 66 def _get_pad_pair(input1d, kernel1d, stride1d): argument 68 pad = max(kernel1d - stride1d, 0) 70 pad = max(kernel1d - (input1d % stride1d), 0)
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/dports/misc/py-tvm/incubator-tvm-0.6.1/nnvm/python/nnvm/frontend/ |
H A D | keras.py | 35 def _get_pad_pair(input1d, kernel1d, stride1d): argument 37 pad = np.maximum((out1d - 1) * stride1d + kernel1d - input1d, 0)
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