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| author | algol <dkazanc@hotmail.com> | 2018-04-17 13:05:17 +0100 |
|---|---|---|
| committer | algol <dkazanc@hotmail.com> | 2018-04-17 13:05:17 +0100 |
| commit | ec9b5742e243c60f2f7d31f38cd3d561c3ae3394 (patch) | |
| tree | 530f73d52c3142b023673f2041ac451bfcab576b /Wrappers/Python/src | |
| parent | d0a33e4f941539ba44a071cfab75d7bf9543990f (diff) | |
| download | regularization-ec9b5742e243c60f2f7d31f38cd3d561c3ae3394.tar.gz regularization-ec9b5742e243c60f2f7d31f38cd3d561c3ae3394.tar.bz2 regularization-ec9b5742e243c60f2f7d31f38cd3d561c3ae3394.tar.xz regularization-ec9b5742e243c60f2f7d31f38cd3d561c3ae3394.zip | |
TNV demos
Diffstat (limited to 'Wrappers/Python/src')
| -rw-r--r-- | Wrappers/Python/src/cpu_regularisers.pyx | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/Wrappers/Python/src/cpu_regularisers.pyx b/Wrappers/Python/src/cpu_regularisers.pyx index 898bb40..abbf3b0 100644 --- a/Wrappers/Python/src/cpu_regularisers.pyx +++ b/Wrappers/Python/src/cpu_regularisers.pyx @@ -21,7 +21,7 @@ cimport numpy as np cdef extern float TV_ROF_CPU_main(float *Input, float *Output, float lambdaPar, int iterationsNumb, float tau, int dimX, int dimY, int dimZ); cdef extern float TV_FGP_CPU_main(float *Input, float *Output, float lambdaPar, int iterationsNumb, float epsil, int methodTV, int nonneg, int printM, int dimX, int dimY, int dimZ); cdef extern float SB_TV_CPU_main(float *Input, float *Output, float lambdaPar, int iterationsNumb, float epsil, int methodTV, int printM, int dimX, int dimY, int dimZ); -cdef extern float TNV_CPU_main(float *Input, float *u, float lambda, int maxIter, float tol, int dimX, int dimY, int dimZ); +cdef extern float TNV_CPU_main(float *Input, float *u, float lambdaPar, int maxIter, float tol, int dimX, int dimY, int dimZ); cdef extern float dTV_FGP_CPU_main(float *Input, float *InputRef, float *Output, float lambdaPar, int iterationsNumb, float epsil, float eta, int methodTV, int nonneg, int printM, int dimX, int dimY, int dimZ); @@ -254,7 +254,7 @@ def dTV_FGP_3D(np.ndarray[np.float32_t, ndim=3, mode="c"] inputData, #****************************************************************# #*********************Total Nuclear Variation********************# #****************************************************************# -def TNV_CPU_pyx(inputData, regularisation_parameter, iterationsNumb, tolerance_param): +def TNV_CPU(inputData, regularisation_parameter, iterationsNumb, tolerance_param): if inputData.ndim == 2: return elif inputData.ndim == 3: |