1
0
mirror of https://github.com/opencv/opencv_contrib.git synced 2025-10-19 02:16:34 +08:00

Fixed coarse scale evaluation for DIS optical flow estimator

This commit is contained in:
Vitaly Tuzov
2018-05-11 18:08:18 +03:00
parent c540409571
commit 1bcb634a12

View File

@@ -1316,7 +1316,8 @@ bool DISOpticalFlowImpl::ocl_calc(InputArray I0, InputArray I1, InputOutputArray
else else
flow.create(I1Mat.size(), CV_32FC2); flow.create(I1Mat.size(), CV_32FC2);
UMat &u_flowMat = flow.getUMatRef(); UMat &u_flowMat = flow.getUMatRef();
coarsest_scale = (int)(log((2 * I0Mat.cols) / (4.0 * patch_size)) / log(2.0) + 0.5) - 1; coarsest_scale = min((int)(log(max(I0Mat.cols, I0Mat.rows) / (4.0 * patch_size)) / log(2.0) + 0.5), /* Original code serach for maximal movement of width/4 */
(int)(log(min(I0Mat.cols, I0Mat.rows) / patch_size) / log(2.0))); /* Deepest pyramid level greater or equal than patch*/
ocl_prepareBuffers(I0Mat, I1Mat, u_flowMat, use_input_flow); ocl_prepareBuffers(I0Mat, I1Mat, u_flowMat, use_input_flow);
u_Ux[coarsest_scale].setTo(0.0f); u_Ux[coarsest_scale].setTo(0.0f);
@@ -1382,7 +1383,8 @@ void DISOpticalFlowImpl::calc(InputArray I0, InputArray I1, InputOutputArray flo
else else
flow.create(I1Mat.size(), CV_32FC2); flow.create(I1Mat.size(), CV_32FC2);
Mat flowMat = flow.getMat(); Mat flowMat = flow.getMat();
coarsest_scale = (int)(log((2 * I0Mat.cols) / (4.0 * patch_size)) / log(2.0) + 0.5) - 1; coarsest_scale = min((int)(log(max(I0Mat.cols, I0Mat.rows) / (4.0 * patch_size)) / log(2.0) + 0.5), /* Original code serach for maximal movement of width/4 */
(int)(log(min(I0Mat.cols, I0Mat.rows) / patch_size) / log(2.0))); /* Deepest pyramid level greater or equal than patch*/
int num_stripes = getNumThreads(); int num_stripes = getNumThreads();
prepareBuffers(I0Mat, I1Mat, flowMat, use_input_flow); prepareBuffers(I0Mat, I1Mat, flowMat, use_input_flow);