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authorTomasKulhanek <tomas.kulhanek@stfc.ac.uk>2018-12-07 00:33:52 +0000
committerTomasKulhanek <tomas.kulhanek@stfc.ac.uk>2018-12-07 00:33:52 +0000
commita4143c74b9c8765959855b20e381a015e2d08e32 (patch)
tree81e67bdac851467b686b1ca5fb586640bc9ae76c /Wrappers/Python
parent7e205f44f2942ec165afe8e60b10a4ff69f72e19 (diff)
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Diffstat (limited to 'Wrappers/Python')
-rw-r--r--Wrappers/Python/src/gpu_regularisers.pyx8
1 files changed, 3 insertions, 5 deletions
diff --git a/Wrappers/Python/src/gpu_regularisers.pyx b/Wrappers/Python/src/gpu_regularisers.pyx
index 3457796..302727e 100644
--- a/Wrappers/Python/src/gpu_regularisers.pyx
+++ b/Wrappers/Python/src/gpu_regularisers.pyx
@@ -25,7 +25,7 @@ cdef extern void TGV_GPU_main(float *Input, float *Output, float lambdaPar, floa
cdef extern void LLT_ROF_GPU_main(float *Input, float *Output, float lambdaROF, float lambdaLLT, int iterationsNumb, float tau, int N, int M, int Z);
cdef extern void NonlDiff_GPU_main(float *Input, float *Output, float lambdaPar, float sigmaPar, int iterationsNumb, float tau, int penaltytype, int N, int M, int Z);
cdef extern void dTV_FGP_GPU_main(float *Input, float *InputRef, float *Output, float lambdaPar, int iterationsNumb, float epsil, float eta, int methodTV, int nonneg, int printM, int N, int M, int Z);
-cdef extern int Diffus4th_GPU_main(float *Input, float *Output, float lambdaPar, float sigmaPar, int iterationsNumb, float tau, int N, int M, int Z);
+cdef extern void Diffus4th_GPU_main(float *Input, float *Output, float lambdaPar, float sigmaPar, int iterationsNumb, float tau, int N, int M, int Z);
cdef extern void PatchSelect_GPU_main(float *Input, unsigned short *H_i, unsigned short *H_j, float *Weights, int N, int M, int SearchWindow, int SimilarWin, int NumNeighb, float h);
# Total-variation Rudin-Osher-Fatemi (ROF)
@@ -522,8 +522,7 @@ def Diff4th_2D(np.ndarray[np.float32_t, ndim=2, mode="c"] inputData,
# Run Anisotropic Fourth-Order diffusion for 2D data
# Running CUDA code here
- if (Diffus4th_GPU_main(&inputData[0,0], &outputData[0,0], regularisation_parameter, edge_parameter, iterationsNumb, time_marching_parameter, dims[1], dims[0], 1)>0):
- raise RuntimeError('Runtime error!')
+ Diffus4th_GPU_main(&inputData[0,0], &outputData[0,0], regularisation_parameter, edge_parameter, iterationsNumb, time_marching_parameter, dims[1], dims[0], 1)
return outputData
def Diff4th_3D(np.ndarray[np.float32_t, ndim=3, mode="c"] inputData,
@@ -541,8 +540,7 @@ def Diff4th_3D(np.ndarray[np.float32_t, ndim=3, mode="c"] inputData,
# Run Anisotropic Fourth-Order diffusion for 3D data
# Running CUDA code here
- if (Diffus4th_GPU_main(&inputData[0,0,0], &outputData[0,0,0], regularisation_parameter, edge_parameter, iterationsNumb, time_marching_parameter, dims[2], dims[1], dims[0])>0):
- RuntimeError('Runtime error!')
+ Diffus4th_GPU_main(&inputData[0,0,0], &outputData[0,0,0], regularisation_parameter, edge_parameter, iterationsNumb, time_marching_parameter, dims[2], dims[1], dims[0])
return outputData
#****************************************************************#