changed nullptr to NULL to avoid c++11 (failed to build on linux)

replaces tabs with spaces
This commit is contained in:
Ernest Galbrun
2014-07-07 09:32:48 +02:00
parent 062e1cbe06
commit eb6c598678
4 changed files with 47 additions and 47 deletions

View File

@@ -64,7 +64,7 @@ cv::cuda::OpticalFlowDual_TVL1_CUDA::OpticalFlowDual_TVL1_CUDA()
epsilon = 0.01;
iterations = 300;
scaleStep = 0.8;
gamma = 0.0;
gamma = 0.0;
useInitialFlow = false;
}
@@ -81,7 +81,7 @@ void cv::cuda::OpticalFlowDual_TVL1_CUDA::operator ()(const GpuMat& I0, const Gp
I1s.resize(nscales);
u1s.resize(nscales);
u2s.resize(nscales);
u3s.resize(nscales);
u3s.resize(nscales);
I0.convertTo(I0s[0], CV_32F, I0.depth() == CV_8U ? 1.0 : 255.0);
I1.convertTo(I1s[0], CV_32F, I1.depth() == CV_8U ? 1.0 : 255.0);
@@ -94,7 +94,7 @@ void cv::cuda::OpticalFlowDual_TVL1_CUDA::operator ()(const GpuMat& I0, const Gp
u1s[0] = flowx;
u2s[0] = flowy;
u3s[0].create(I0.size(), CV_32FC1);
u3s[0].create(I0.size(), CV_32FC1);
I1x_buf.create(I0.size(), CV_32FC1);
I1y_buf.create(I0.size(), CV_32FC1);
@@ -109,9 +109,9 @@ void cv::cuda::OpticalFlowDual_TVL1_CUDA::operator ()(const GpuMat& I0, const Gp
p11_buf.create(I0.size(), CV_32FC1);
p12_buf.create(I0.size(), CV_32FC1);
p21_buf.create(I0.size(), CV_32FC1);
p22_buf.create(I0.size(), CV_32FC1);
p31_buf.create(I0.size(), CV_32FC1);
p32_buf.create(I0.size(), CV_32FC1);
p22_buf.create(I0.size(), CV_32FC1);
p31_buf.create(I0.size(), CV_32FC1);
p32_buf.create(I0.size(), CV_32FC1);
diff_buf.create(I0.size(), CV_32FC1);
@@ -139,8 +139,8 @@ void cv::cuda::OpticalFlowDual_TVL1_CUDA::operator ()(const GpuMat& I0, const Gp
{
u1s[s].create(I0s[s].size(), CV_32FC1);
u2s[s].create(I0s[s].size(), CV_32FC1);
}
u3s[s].create(I0s[s].size(), CV_32FC1);
}
u3s[s].create(I0s[s].size(), CV_32FC1);
}
if (!useInitialFlow)
@@ -148,7 +148,7 @@ void cv::cuda::OpticalFlowDual_TVL1_CUDA::operator ()(const GpuMat& I0, const Gp
u1s[nscales-1].setTo(Scalar::all(0));
u2s[nscales-1].setTo(Scalar::all(0));
}
u3s[nscales - 1].setTo(Scalar::all(0));
u3s[nscales - 1].setTo(Scalar::all(0));
// pyramidal structure for computing the optical flow
for (int s = nscales - 1; s >= 0; --s)
@@ -164,8 +164,8 @@ void cv::cuda::OpticalFlowDual_TVL1_CUDA::operator ()(const GpuMat& I0, const Gp
// zoom the optical flow for the next finer scale
cuda::resize(u1s[s], u1s[s - 1], I0s[s - 1].size());
cuda::resize(u2s[s], u2s[s - 1], I0s[s - 1].size());
cuda::resize(u3s[s], u3s[s - 1], I0s[s - 1].size());
cuda::resize(u2s[s], u2s[s - 1], I0s[s - 1].size());
cuda::resize(u3s[s], u3s[s - 1], I0s[s - 1].size());
// scale the optical flow with the appropriate zoom factor
cuda::multiply(u1s[s - 1], Scalar::all(1/scaleStep), u1s[s - 1]);
@@ -179,10 +179,10 @@ namespace tvl1flow
void warpBackward(PtrStepSzf I0, PtrStepSzf I1, PtrStepSzf I1x, PtrStepSzf I1y, PtrStepSzf u1, PtrStepSzf u2, PtrStepSzf I1w, PtrStepSzf I1wx, PtrStepSzf I1wy, PtrStepSzf grad, PtrStepSzf rho);
void estimateU(PtrStepSzf I1wx, PtrStepSzf I1wy,
PtrStepSzf grad, PtrStepSzf rho_c,
PtrStepSzf p11, PtrStepSzf p12, PtrStepSzf p21, PtrStepSzf p22, PtrStepSzf p31, PtrStepSzf p32,
PtrStepSzf u1, PtrStepSzf u2, PtrStepSzf u3, PtrStepSzf error,
PtrStepSzf p11, PtrStepSzf p12, PtrStepSzf p21, PtrStepSzf p22, PtrStepSzf p31, PtrStepSzf p32,
PtrStepSzf u1, PtrStepSzf u2, PtrStepSzf u3, PtrStepSzf error,
float l_t, float theta, float gamma, bool calcError);
void estimateDualVariables(PtrStepSzf u1, PtrStepSzf u2, PtrStepSzf u3, PtrStepSzf p11, PtrStepSzf p12, PtrStepSzf p21, PtrStepSzf p22, PtrStepSzf p31, PtrStepSzf p32, float taut);
void estimateDualVariables(PtrStepSzf u1, PtrStepSzf u2, PtrStepSzf u3, PtrStepSzf p11, PtrStepSzf p12, PtrStepSzf p21, PtrStepSzf p22, PtrStepSzf p31, PtrStepSzf p32, float taut);
}
void cv::cuda::OpticalFlowDual_TVL1_CUDA::procOneScale(const GpuMat& I0, const GpuMat& I1, GpuMat& u1, GpuMat& u2, GpuMat& u3)
@@ -210,15 +210,15 @@ void cv::cuda::OpticalFlowDual_TVL1_CUDA::procOneScale(const GpuMat& I0, const G
GpuMat p11 = p11_buf(Rect(0, 0, I0.cols, I0.rows));
GpuMat p12 = p12_buf(Rect(0, 0, I0.cols, I0.rows));
GpuMat p21 = p21_buf(Rect(0, 0, I0.cols, I0.rows));
GpuMat p22 = p22_buf(Rect(0, 0, I0.cols, I0.rows));
GpuMat p31 = p31_buf(Rect(0, 0, I0.cols, I0.rows));
GpuMat p32 = p32_buf(Rect(0, 0, I0.cols, I0.rows));
GpuMat p22 = p22_buf(Rect(0, 0, I0.cols, I0.rows));
GpuMat p31 = p31_buf(Rect(0, 0, I0.cols, I0.rows));
GpuMat p32 = 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));
p31.setTo(Scalar::all(0));
p32.setTo(Scalar::all(0));
p22.setTo(Scalar::all(0));
p31.setTo(Scalar::all(0));
p32.setTo(Scalar::all(0));
GpuMat diff = diff_buf(Rect(0, 0, I0.cols, I0.rows));
@@ -235,8 +235,8 @@ void cv::cuda::OpticalFlowDual_TVL1_CUDA::procOneScale(const GpuMat& I0, const G
{
// some tweaks to make sum operation less frequently
bool calcError = (epsilon > 0) && (n & 0x1) && (prevError < scaledEpsilon);
cv::Mat m1(u3);
estimateU(I1wx, I1wy, grad, rho_c, p11, p12, p21, p22, p31, p32, u1, u2, u3, diff, l_t, static_cast<float>(theta), gamma, calcError);
cv::Mat m1(u3);
estimateU(I1wx, I1wy, grad, rho_c, p11, p12, p21, p22, p31, p32, u1, u2, u3, diff, l_t, static_cast<float>(theta), gamma, calcError);
if (calcError)
{
error = cuda::sum(diff, norm_buf)[0];
@@ -258,8 +258,8 @@ void cv::cuda::OpticalFlowDual_TVL1_CUDA::collectGarbage()
I0s.clear();
I1s.clear();
u1s.clear();
u2s.clear();
u3s.clear();
u2s.clear();
u3s.clear();
I1x_buf.release();
I1y_buf.release();
@@ -274,9 +274,9 @@ void cv::cuda::OpticalFlowDual_TVL1_CUDA::collectGarbage()
p11_buf.release();
p12_buf.release();
p21_buf.release();
p22_buf.release();
p31_buf.release();
p32_buf.release();
p22_buf.release();
p31_buf.release();
p32_buf.release();
diff_buf.release();
norm_buf.release();