- more aggressive cache for files under CMAKE_BINARY_CACHE
* don't re-read files MD5
* don't repack archives
- add support for ENV{OPENCV_DOWNLOAD_PATH}
- added ID parameter as project/group identifier
- non-flat .cache directory (based on ID)
- download message prefix based on ID
- more detailed logging via ocv_download_log() macro
- force .gitignore file for .cache folder (with '*' pattern)
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
Added assertios to remap and warpAffine functions
As @mshabunin said, remap and warpAffine functions do not support more than 4 channels in
Bicubic and Lanczos4 interpolation modes. Assertions were added. Appropriate test was chenged.
resolves#8272
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
