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authoralgol <dkazanc@hotmail.com>2018-02-06 15:17:45 +0000
committerEdoardo Pasca <edo.paskino@gmail.com>2018-02-06 16:24:46 +0000
commit60be5543cd748a64f085c600d0fd62926ded2f62 (patch)
tree25830f774530d43487f6f139de24e375d5736ca8 /Wrappers/Python/src
parentc98c688fecda489f7396ccd66a1487e9c0f6989f (diff)
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Updated demo for CPU regularizers, bug fixed in fista_module.cpp for FGP_TV
Diffstat (limited to 'Wrappers/Python/src')
-rw-r--r--Wrappers/Python/src/fista_module.cpp16
1 files changed, 8 insertions, 8 deletions
diff --git a/Wrappers/Python/src/fista_module.cpp b/Wrappers/Python/src/fista_module.cpp
index cef3ecc..e311570 100644
--- a/Wrappers/Python/src/fista_module.cpp
+++ b/Wrappers/Python/src/fista_module.cpp
@@ -412,13 +412,13 @@ bp::list FGP_TV(np::ndarray input, double d_mu, int iter, double d_epsil, int me
/*Taking a step towards minus of the gradient*/
Grad_func2D(P1, P2, D, R1, R2, lambda, dimX, dimY);
-
-
-
-
- /*updating R and t*/
- tkp1 = (1.0f + sqrt(1.0f + 4.0f*tk*tk))*0.5f;
- Rupd_func2D(P1, P1_old, P2, P2_old, R1, R2, tkp1, tk, dimX, dimY);
+
+ /* projection step */
+ Proj_func2D(P1, P2, methTV, dimX, dimY);
+
+ /*updating R and t*/
+ tkp1 = (1.0f + sqrt(1.0f + 4.0f*tk*tk))*0.5f;
+ Rupd_func2D(P1, P1_old, P2, P2_old, R1, R2, tkp1, tk, dimX, dimY);
/* calculate norm */
re = 0.0f; re1 = 0.0f;
@@ -429,7 +429,7 @@ bp::list FGP_TV(np::ndarray input, double d_mu, int iter, double d_epsil, int me
}
re = sqrt(re) / sqrt(re1);
if (re < epsil) count++;
- if (count > 3) {
+ if (count > 4) {
Obj_func2D(A, D, P1, P2, lambda, dimX, dimY);
funcval = 0.0f;
for (j = 0; j<dimX*dimY*dimZ; j++) funcval += pow(D[j], 2);