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| author | Edoardo Pasca <edo.paskino@gmail.com> | 2018-02-21 12:49:59 +0000 |
|---|---|---|
| committer | Edoardo Pasca <edo.paskino@gmail.com> | 2018-02-21 12:49:59 +0000 |
| commit | 75917255b4f0b8aae2e6ce9492a75e0f749bfb3e (patch) | |
| tree | 67ee3abb9dc7a0c8b34a81cee8ecc4a6b0eb68de /Wrappers/Python/src | |
| parent | b8e4e8d89432cfaa860835d873b52e4df40d92d5 (diff) | |
| download | regularization-75917255b4f0b8aae2e6ce9492a75e0f749bfb3e.tar.gz regularization-75917255b4f0b8aae2e6ce9492a75e0f749bfb3e.tar.bz2 regularization-75917255b4f0b8aae2e6ce9492a75e0f749bfb3e.tar.xz regularization-75917255b4f0b8aae2e6ce9492a75e0f749bfb3e.zip | |
added TV_ROF
Diffstat (limited to 'Wrappers/Python/src')
| -rw-r--r-- | Wrappers/Python/src/gpu_regularizers.pyx | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/Wrappers/Python/src/gpu_regularizers.pyx b/Wrappers/Python/src/gpu_regularizers.pyx index 5a5d274..fcb91cc 100644 --- a/Wrappers/Python/src/gpu_regularizers.pyx +++ b/Wrappers/Python/src/gpu_regularizers.pyx @@ -25,7 +25,7 @@ cdef extern void NLM_GPU_kernel(float *A, float* B, float *Eucl_Vec, int N, int M, int Z, int dimension, int SearchW, int SimilW, int SearchW_real, float denh2, float lambdaf); -cdef extern void TV_ROF_GPU(float* A, float* B, int N, int M, int Z, int iter, float tau, float lambdaf); +cdef extern void TV_ROF_GPU_kernel(float* A, float* B, int N, int M, int Z, int iter, float tau, float lambdaf); cdef extern float pad_crop(float *A, float *Ap, int OldSizeX, int OldSizeY, int OldSizeZ, int NewSizeX, int NewSizeY, int NewSizeZ, @@ -67,7 +67,7 @@ def NML(inputData, h, lambdaf) -def ROF_TV_GPU(inputData, +def GPU_ROF_TV(inputData, iterations, time_marching_parameter, regularization_parameter): @@ -343,7 +343,7 @@ def ROFTV2D(np.ndarray[np.float32_t, ndim=2, mode="c"] inputData, np.zeros([dims[0],dims[1]], dtype='float32') # Running CUDA code here - TV_ROF_GPU( + TV_ROF_GPU_kernel( &inputData[0,0], &B[0,0], dims[0], dims[1], 0, iterations , @@ -366,7 +366,7 @@ def ROFTV3D(np.ndarray[np.float32_t, ndim=3, mode="c"] inputData, np.zeros([dims[0],dims[1],dims[2]], dtype='float32') # Running CUDA code here - TV_ROF_GPU( + TV_ROF_GPU_kernel( &inputData[0,0,0], &B[0,0,0], dims[0], dims[1], dims[2], iterations , |