The method does cvCheckPixelBackgroundNP (which reads bgmodel)
before it is ever updated (in cvUpdatePixelBackgroundNP). This
initialization is thus needed to avoid reads of unitialized values.
New p3p algorithm (accepted by CVPR 2017) (#8301)
* add p3p source code
* indent 4
* update publication info
* fix filename
* interface done
* plug in done, test needed
* debugging
* for test
* a working version
* clean p3p code
* test
* test
* fix warning, blank line
* apply patch from @catree
* add reference info
* namespace, indent 4
* static solveQuartic
* put small functions to anonymous namespace
AffineBasedEstimator crashed when called with an existing CameraParameters.
This happens e.g. when using Stitcher in SCANS mode.
CameraraParameters is now cleared before any calculation is executed.
Use identity matrix if homography finding failed. Current behavior zeros out all points.
Update circlesgrid.cpp
Addressed comments
Update circlesgrid.cpp
removed whitespace
In the previous version only the default stream was/could be used, i.e.
cv::cuda::Stream::Null().
With this change, HOG::compute() will now run in parallel over different
cuda::Streams.
The code has been reordered so that all data allocation is completed
first, then all the kernels are run in parallel over streams.
Fix#8177
This test case uses a matrix with more dimensions than columns. Without
the fix in
b45e784beb
this crashes with a segmentation fault, hangs or simply fails with wrong
values.
Stitcher will now make a working copy of the CameraParams object to avoid side effects when composing Panorama.
Makes it possible to estimate transform once and then compose multiple panoramas. Useful for setup with fixed cameras.
- use suffixes like '.avx.cpp'
- added CMake-generated files for '.simd.hpp' optimization approach
- wrap HAL intrinsic headers into separate namespaces for different build flags
- automatic vzeroupper insertion (via CV_INSTRUMENT_REGION macro)
* export SVM::trainAuto to python #7224
* workaround for ABI compatibility of SVM::trainAuto
* add parameter comments to new SVM::trainAuto function
* Export ParamGrid member variables