removed some tabs

diff --git a/modules/video/src/tvl1flow.cpp b/modules/video/src/tvl1flow.cpp
index f251b95..8518cea 100644 (file)
--- a/modules/video/src/tvl1flow.cpp
+++ b/modules/video/src/tvl1flow.cpp
@@ -373,20 +373,20 @@ void OpticalFlowDual_TVL1::calc(InputArray _I0, InputArray _I1, InputOutputArray
     CV_Assert( I0.type() == I1.type() );
     CV_Assert( !useInitialFlow || (_flow.size() == I0.size() && _flow.type() == CV_32FC2) );
     CV_Assert( nscales > 0 );
-       bool use_gamma = gamma != 0;
+    bool use_gamma = gamma != 0;
     // allocate memory for the pyramid structure
     dm.I0s.resize(nscales);
     dm.I1s.resize(nscales);
     dm.u1s.resize(nscales);
     dm.u2s.resize(nscales);
-       dm.u3s.resize(nscales);
+    dm.u3s.resize(nscales);
 
     I0.convertTo(dm.I0s[0], dm.I0s[0].depth(), I0.depth() == CV_8U ? 1.0 : 255.0);
     I1.convertTo(dm.I1s[0], dm.I1s[0].depth(), I1.depth() == CV_8U ? 1.0 : 255.0);
 
     dm.u1s[0].create(I0.size());
     dm.u2s[0].create(I0.size());
-       if (use_gamma) dm.u3s[0].create(I0.size());
+    if (use_gamma) dm.u3s[0].create(I0.size());
 
     if (useInitialFlow)
     {
@@ -409,25 +409,25 @@ void OpticalFlowDual_TVL1::calc(InputArray _I0, InputArray _I1, InputOutputArray
 
     dm.v1_buf.create(I0.size());
     dm.v2_buf.create(I0.size());
-       dm.v3_buf.create(I0.size());
+    dm.v3_buf.create(I0.size());
 
     dm.p11_buf.create(I0.size());
     dm.p12_buf.create(I0.size());
     dm.p21_buf.create(I0.size());
     dm.p22_buf.create(I0.size());
-       dm.p31_buf.create(I0.size());
-       dm.p32_buf.create(I0.size());
+    dm.p31_buf.create(I0.size());
+    dm.p32_buf.create(I0.size());
 
     dm.div_p1_buf.create(I0.size());
     dm.div_p2_buf.create(I0.size());
-       dm.div_p3_buf.create(I0.size());
+    dm.div_p3_buf.create(I0.size());
 
     dm.u1x_buf.create(I0.size());
     dm.u1y_buf.create(I0.size());
     dm.u2x_buf.create(I0.size());
     dm.u2y_buf.create(I0.size());
     dm.u3x_buf.create(I0.size());
-       dm.u3y_buf.create(I0.size());
+    dm.u3y_buf.create(I0.size());
 
     // create the scales
     for (int s = 1; s < nscales; ++s)
@@ -454,14 +454,14 @@ void OpticalFlowDual_TVL1::calc(InputArray _I0, InputArray _I1, InputOutputArray
             dm.u1s[s].create(dm.I0s[s].size());
             dm.u2s[s].create(dm.I0s[s].size());
         }
-               if (use_gamma) dm.u3s[s].create(dm.I0s[s].size());
+        if (use_gamma) dm.u3s[s].create(dm.I0s[s].size());
     }
     if (!useInitialFlow)
     {
         dm.u1s[nscales - 1].setTo(Scalar::all(0));
         dm.u2s[nscales - 1].setTo(Scalar::all(0));
     } 
-       if (use_gamma) dm.u3s[nscales - 1].setTo(Scalar::all(0));
+    if (use_gamma) dm.u3s[nscales - 1].setTo(Scalar::all(0));
     // pyramidal structure for computing the optical flow
     for (int s = nscales - 1; s >= 0; --s)
     {
@@ -477,7 +477,7 @@ void OpticalFlowDual_TVL1::calc(InputArray _I0, InputArray _I1, InputOutputArray
         // zoom the optical flow for the next finer scale
         resize(dm.u1s[s], dm.u1s[s - 1], dm.I0s[s - 1].size());
         resize(dm.u2s[s], dm.u2s[s - 1], dm.I0s[s - 1].size());
-               if (use_gamma) resize(dm.u3s[s], dm.u3s[s - 1], dm.I0s[s - 1].size());
+        if (use_gamma) resize(dm.u3s[s], dm.u3s[s - 1], dm.I0s[s - 1].size());
 
         // scale the optical flow with the appropriate zoom factor (don't scale u3!)
         multiply(dm.u1s[s - 1], Scalar::all(1 / scaleStep), dm.u1s[s - 1]);
@@ -944,7 +944,7 @@ struct EstimateVBody : ParallelLoopBody
 
 void EstimateVBody::operator() (const Range& range) const
 {
-       bool use_gamma = gamma != 0;
+    bool use_gamma = gamma != 0;
     for (int y = range.start; y < range.end; ++y)
     {
         const float* I1wxRow = I1wx[y];
@@ -957,12 +957,12 @@ void EstimateVBody::operator() (const Range& range) const
 
         float* v1Row = v1[y];
         float* v2Row = v2[y];
-               float* v3Row = use_gamma ? v3[y]:NULL;
+        float* v3Row = use_gamma ? v3[y]:NULL;
  
         for (int x = 0; x < I1wx.cols; ++x)
-               {
-                       const float rho = use_gamma ? rhoRow[x] + (I1wxRow[x] * u1Row[x] + I1wyRow[x] * u2Row[x]) + gamma * u3Row[x] :
-                                                         rhoRow[x] + (I1wxRow[x] * u1Row[x] + I1wyRow[x] * u2Row[x]);
+        {
+            const float rho = use_gamma ? rhoRow[x] + (I1wxRow[x] * u1Row[x] + I1wyRow[x] * u2Row[x]) + gamma * u3Row[x] :
+                                          rhoRow[x] + (I1wxRow[x] * u1Row[x] + I1wyRow[x] * u2Row[x]);
             float d1 = 0.0f;
             float d2 = 0.0f;
             float d3 = 0.0f;
@@ -970,25 +970,25 @@ void EstimateVBody::operator() (const Range& range) const
             {
                 d1 = l_t * I1wxRow[x];
                 d2 = l_t * I1wyRow[x];
-                               if (use_gamma) d3 = l_t * gamma;
+                if (use_gamma) d3 = l_t * gamma;
             }
             else if (rho > l_t * gradRow[x])
             {
                 d1 = -l_t * I1wxRow[x];
                 d2 = -l_t * I1wyRow[x];
-                               if (use_gamma) d3 = -l_t * gamma;
+                if (use_gamma) d3 = -l_t * gamma;
             }
             else if (gradRow[x] > std::numeric_limits<float>::epsilon())
             {
                 float fi = -rho / gradRow[x];
                 d1 = fi * I1wxRow[x];
                 d2 = fi * I1wyRow[x];
-                               if (use_gamma) d3 = fi * gamma;
+                if (use_gamma) d3 = fi * gamma;
             }
 
             v1Row[x] = u1Row[x] + d1;
             v2Row[x] = u2Row[x] + d2;
-                       if (use_gamma) v3Row[x] = u3Row[x] + d3;
+            if (use_gamma) v3Row[x] = u3Row[x] + d3;
         }
     }
 }
@@ -1005,17 +1005,17 @@ void estimateV(const Mat_<float>& I1wx, const Mat_<float>& I1wy, const Mat_<floa
     CV_DbgAssert( v2.size() == I1wx.size() );
 
     EstimateVBody body;
-       bool use_gamma = gamma != 0;
+    bool use_gamma = gamma != 0;
     body.I1wx = I1wx;
     body.I1wy = I1wy;
     body.u1 = u1;
     body.u2 = u2;
-       if (use_gamma) body.u3 = u3;
+    if (use_gamma) body.u3 = u3;
     body.grad = grad;
     body.rho_c = rho_c;
     body.v1 = v1;
     body.v2 = v2;
-       if (use_gamma) body.v3 = v3;
+    if (use_gamma) body.v3 = v3;
     body.l_t = l_t;
     body.gamma = gamma;
     parallel_for_(Range(0, I1wx.rows), body);
@@ -1035,8 +1035,8 @@ float estimateU(const Mat_<float>& v1, const Mat_<float>& v2, const Mat_<float>&
     CV_DbgAssert( u1.size() == v1.size() );
     CV_DbgAssert( u2.size() == v1.size() );
 
-       float error = 0.0f;
-       bool use_gamma = gamma != 0;
+    float error = 0.0f;
+    bool use_gamma = gamma != 0;
     for (int y = 0; y < v1.rows; ++y)
     {
         const float* v1Row = v1[y];
@@ -1059,10 +1059,10 @@ float estimateU(const Mat_<float>& v1, const Mat_<float>& v2, const Mat_<float>&
 
             u1Row[x] = v1Row[x] + theta * divP1Row[x];
             u2Row[x] = v2Row[x] + theta * divP2Row[x];
-                       if (use_gamma) u3Row[x] = v3Row[x] + theta * divP3Row[x];
+            if (use_gamma) u3Row[x] = v3Row[x] + theta * divP3Row[x];
          
             error += use_gamma?(u1Row[x] - u1k) * (u1Row[x] - u1k) + (u2Row[x] - u2k) * (u2Row[x] - u2k) + (u3Row[x] - u3k) * (u3Row[x] - u3k):
-                                              (u1Row[x] - u1k) * (u1Row[x] - u1k) + (u2Row[x] - u2k) * (u2Row[x] - u2k);
+                               (u1Row[x] - u1k) * (u1Row[x] - u1k) + (u2Row[x] - u2k) * (u2Row[x] - u2k);
         }
     }
 
@@ -1089,7 +1089,7 @@ struct EstimateDualVariablesBody : ParallelLoopBody
     mutable Mat_<float> p31;
     mutable Mat_<float> p32;
     float taut;
-       bool use_gamma;
+    bool use_gamma;
 };
 
 void EstimateDualVariablesBody::operator() (const Range& range) const
@@ -1118,14 +1118,14 @@ void EstimateDualVariablesBody::operator() (const Range& range) const
 
             const float ng1  = 1.0f + taut * g1;
             const float ng2 =  1.0f + taut * g2;
-                       const float ng3 = 1.0f + taut * g3;
+            const float ng3 = 1.0f + taut * g3;
 
             p11Row[x] = (p11Row[x] + taut * u1xRow[x]) / ng1;
             p12Row[x] = (p12Row[x] + taut * u1yRow[x]) / ng1;
             p21Row[x] = (p21Row[x] + taut * u2xRow[x]) / ng2;
             p22Row[x] = (p22Row[x] + taut * u2yRow[x]) / ng2;
-                       if (use_gamma) p31Row[x] = (p31Row[x] + taut * u3xRow[x]) / ng3;
-                       if (use_gamma) p32Row[x] = (p32Row[x] + taut * u3yRow[x]) / ng3;
+            if (use_gamma) p31Row[x] = (p31Row[x] + taut * u3xRow[x]) / ng3;
+            if (use_gamma) p32Row[x] = (p32Row[x] + taut * u3yRow[x]) / ng3;
         }
     }
 }
@@ -1165,7 +1165,7 @@ void estimateDualVariables(const Mat_<float>& u1x, const Mat_<float>& u1y,
     body.p31 = p31;
     body.p32 = p32;
     body.taut = taut;
-       body.use_gamma = use_gamma;
+    body.use_gamma = use_gamma;
 
     parallel_for_(Range(0, u1x.rows), body);
 }
@@ -1283,21 +1283,21 @@ void OpticalFlowDual_TVL1::procOneScale(const Mat_<float>& I0, const Mat_<float>
 
     Mat_<float> v1 = dm.v1_buf(Rect(0, 0, I0.cols, I0.rows));
     Mat_<float> v2 = dm.v2_buf(Rect(0, 0, I0.cols, I0.rows));
-       Mat_<float> v3 = dm.v3_buf(Rect(0, 0, I0.cols, I0.rows));
+    Mat_<float> v3 = dm.v3_buf(Rect(0, 0, I0.cols, I0.rows));
 
     Mat_<float> p11 = dm.p11_buf(Rect(0, 0, I0.cols, I0.rows));
     Mat_<float> p12 = dm.p12_buf(Rect(0, 0, I0.cols, I0.rows));
     Mat_<float> p21 = dm.p21_buf(Rect(0, 0, I0.cols, I0.rows));
     Mat_<float> p22 = dm.p22_buf(Rect(0, 0, I0.cols, I0.rows));
-       Mat_<float> p31 = dm.p31_buf(Rect(0, 0, I0.cols, I0.rows));
-       Mat_<float> p32 = dm.p32_buf(Rect(0, 0, I0.cols, I0.rows));
+    Mat_<float> p31 = dm.p31_buf(Rect(0, 0, I0.cols, I0.rows));
+    Mat_<float> p32 = dm.p32_buf(Rect(0, 0, I0.cols, I0.rows));
     p11.setTo(Scalar::all(0));
     p12.setTo(Scalar::all(0));
     p21.setTo(Scalar::all(0));
-       p22.setTo(Scalar::all(0));
-       bool use_gamma = gamma != 0.;
-       if (use_gamma) p31.setTo(Scalar::all(0));
-       if (use_gamma) p32.setTo(Scalar::all(0));
+    p22.setTo(Scalar::all(0));
+    bool use_gamma = gamma != 0.;
+    if (use_gamma) p31.setTo(Scalar::all(0));
+    if (use_gamma) p32.setTo(Scalar::all(0));
 
     Mat_<float> div_p1 = dm.div_p1_buf(Rect(0, 0, I0.cols, I0.rows));
     Mat_<float> div_p2 = dm.div_p2_buf(Rect(0, 0, I0.cols, I0.rows));
@@ -1333,20 +1333,20 @@ void OpticalFlowDual_TVL1::procOneScale(const Mat_<float>& I0, const Mat_<float>
             for (int n_inner = 0; error > scaledEpsilon && n_inner < innerIterations; ++n_inner)
             {
                 // estimate the values of the variable (v1, v2) (thresholding operator TH)
-                               estimateV(I1wx, I1wy, u1, u2, u3, grad, rho_c, v1, v2, v3, l_t, static_cast<float>(gamma));
+                estimateV(I1wx, I1wy, u1, u2, u3, grad, rho_c, v1, v2, v3, l_t, static_cast<float>(gamma));
 
                 // compute the divergence of the dual variable (p1, p2, p3)
                 divergence(p11, p12, div_p1);
                 divergence(p21, p22, div_p2);
-                               if (use_gamma) divergence(p31, p32, div_p3);
+                if (use_gamma) divergence(p31, p32, div_p3);
 
                 // estimate the values of the optical flow (u1, u2)
-                               error = estimateU(v1, v2, v3, div_p1, div_p2, div_p3, u1, u2, u3, static_cast<float>(theta), static_cast<float>(gamma));
+                error = estimateU(v1, v2, v3, div_p1, div_p2, div_p3, u1, u2, u3, static_cast<float>(theta), static_cast<float>(gamma));
 
                 // compute the gradient of the optical flow (Du1, Du2)
                 forwardGradient(u1, u1x, u1y);
                 forwardGradient(u2, u2x, u2y);
-                               if (use_gamma) forwardGradient(u3, u3x, u3y);
+                if (use_gamma) forwardGradient(u3, u3x, u3y);
 
                 // estimate the values of the dual variable (p1, p2, p3)
                 estimateDualVariables(u1x, u1y, u2x, u2y, u3x, u3y, p11, p12, p21, p22, p31, p32, taut, use_gamma);