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Another speedup.

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Tadas Baltrusaitis
2017-08-29 08:08:20 +01:00
parent d0d8a2d762
commit 4d4f0e47e1
1 changed files with 6 additions and 4 deletions
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10
lib/local/LandmarkDetector/src/CEN_patch_expert.cpp
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@@ -459,18 +459,20 @@ void CEN_patch_expert::ResponseSparse(const cv::Mat_<float> &area_of_interest, c
// Mean and standard deviation normalization, TODO can combine with above
contrastNorm(input_col, response);
cv::Mat_<float> response_blas = response.clone();
//cv::Mat_<float> response_blas;// = response.clone();
for (size_t layer = 0; layer < activation_function.size(); ++layer)
{
// We are performing response = response * weights[layers], but in OpenBLAS as that is significantly quicker than OpenCV
response_blas = response.clone();
float* m1 = (float*)response_blas.data;
// TODO is the cloning needed
//response_blas = response.clone();
float* m1 = (float*)response.data;
float* m2 = (float*)weights[layer].data;
cv::Mat_<float> resp_blas(response_blas.rows, weights[layer].cols);
cv::Mat_<float> resp_blas(response.rows, weights[layer].cols);
float* m3 = (float*)resp_blas.data;
// Perform matrix multiplication