generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

refactored Separable Linear Filters

Browse Source
This commit is contained in:
Vladislav Vinogradov
2013-04-29 14:47:42 +04:00
parent ee7eb1b807
commit 12ae11e2ff
12 changed files with 427 additions and 703 deletions
Download Patch File Download Diff File Expand all files Collapse all files

24
samples/cpp/tutorial_code/gpu/gpu-basics-similarity/gpu-basics-similarity.cpp
View File

@@ -308,6 +308,8 @@ Scalar getMSSIM_GPU( const Mat& i1, const Mat& i2)
gpu::split(tmp2, vI2);
Scalar mssim;
Ptr<gpu::Filter> gauss = gpu::createGaussianFilter(vI2[0].type(), -1, Size(11, 11), 1.5);
for( int i = 0; i < gI1.channels(); ++i )
{
gpu::GpuMat I2_2, I1_2, I1_I2;
@@ -318,8 +320,8 @@ Scalar getMSSIM_GPU( const Mat& i1, const Mat& i2)
/*************************** END INITS **********************************/
gpu::GpuMat mu1, mu2; // PRELIMINARY COMPUTING
gpu::GaussianBlur(vI1[i], mu1, Size(11, 11), 1.5);
gpu::GaussianBlur(vI2[i], mu2, Size(11, 11), 1.5);
gauss->apply(vI1[i], mu1);
gauss->apply(vI2[i], mu2);
gpu::GpuMat mu1_2, mu2_2, mu1_mu2;
gpu::multiply(mu1, mu1, mu1_2);
@@ -328,13 +330,13 @@ Scalar getMSSIM_GPU( const Mat& i1, const Mat& i2)
gpu::GpuMat sigma1_2, sigma2_2, sigma12;
gpu::GaussianBlur(I1_2, sigma1_2, Size(11, 11), 1.5);
gauss->apply(I1_2, sigma1_2);
gpu::subtract(sigma1_2, mu1_2, sigma1_2); // sigma1_2 -= mu1_2;
gpu::GaussianBlur(I2_2, sigma2_2, Size(11, 11), 1.5);
gauss->apply(I2_2, sigma2_2);
gpu::subtract(sigma2_2, mu2_2, sigma2_2); // sigma2_2 -= mu2_2;
gpu::GaussianBlur(I1_I2, sigma12, Size(11, 11), 1.5);
gauss->apply(I1_I2, sigma12);
gpu::subtract(sigma12, mu1_mu2, sigma12); // sigma12 -= mu1_mu2;
///////////////////////////////// FORMULA ////////////////////////////////
@@ -375,7 +377,7 @@ Scalar getMSSIM_GPU_optimized( const Mat& i1, const Mat& i2, BufferMSSIM& b)
gpu::split(b.t2, b.vI2, stream);
Scalar mssim;
gpu::GpuMat buf;
Ptr<gpu::Filter> gauss = gpu::createGaussianFilter(b.vI1[0].type(), -1, Size(11, 11), 1.5);
for( int i = 0; i < b.gI1.channels(); ++i )
{
@@ -383,22 +385,22 @@ Scalar getMSSIM_GPU_optimized( const Mat& i1, const Mat& i2, BufferMSSIM& b)
gpu::multiply(b.vI1[i], b.vI1[i], b.I1_2, 1, -1, stream); // I1^2
gpu::multiply(b.vI1[i], b.vI2[i], b.I1_I2, 1, -1, stream); // I1 * I2
gpu::GaussianBlur(b.vI1[i], b.mu1, Size(11, 11), buf, 1.5, 0, BORDER_DEFAULT, -1, stream);
gpu::GaussianBlur(b.vI2[i], b.mu2, Size(11, 11), buf, 1.5, 0, BORDER_DEFAULT, -1, stream);
gauss->apply(b.vI1[i], b.mu1, stream);
gauss->apply(b.vI2[i], b.mu2, stream);
gpu::multiply(b.mu1, b.mu1, b.mu1_2, 1, -1, stream);
gpu::multiply(b.mu2, b.mu2, b.mu2_2, 1, -1, stream);
gpu::multiply(b.mu1, b.mu2, b.mu1_mu2, 1, -1, stream);
gpu::GaussianBlur(b.I1_2, b.sigma1_2, Size(11, 11), buf, 1.5, 0, BORDER_DEFAULT, -1, stream);
gauss->apply(b.I1_2, b.sigma1_2, stream);
gpu::subtract(b.sigma1_2, b.mu1_2, b.sigma1_2, gpu::GpuMat(), -1, stream);
//b.sigma1_2 -= b.mu1_2; - This would result in an extra data transfer operation
gpu::GaussianBlur(b.I2_2, b.sigma2_2, Size(11, 11), buf, 1.5, 0, BORDER_DEFAULT, -1, stream);
gauss->apply(b.I2_2, b.sigma2_2, stream);
gpu::subtract(b.sigma2_2, b.mu2_2, b.sigma2_2, gpu::GpuMat(), -1, stream);
//b.sigma2_2 -= b.mu2_2;
gpu::GaussianBlur(b.I1_I2, b.sigma12, Size(11, 11), buf, 1.5, 0, BORDER_DEFAULT, -1, stream);
gauss->apply(b.I1_I2, b.sigma12, stream);
gpu::subtract(b.sigma12, b.mu1_mu2, b.sigma12, gpu::GpuMat(), -1, stream);
//b.sigma12 -= b.mu1_mu2;