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
The docstring for one of the Python sample programs includes a link to the research paper describing the main algorithm. That link is no longer valid (results in a 404 error) so this update replaces it with another link from the same institution which is currently valid.
- 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.
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
Fangjun KUANG
Tong Ke
Alexander Alekhin
Maksim Shabunin
Tomoaki Teshima
Alexander Alekhin
Pavel Rojtberg
Vadim Pisarevsky
Sergiu Deitsch
Paolo Perkovic
Hamdi Sahloul
Mark Szumowski
Sergiu Deitsch
berak
Alexander Broemmer
Sixela David
Claudio