### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
The bug has already been reported and explained on the OpenCV forum:
- [optflow-calcopticalflowsparserlof-giving-assertion-error](https://forum.opencv.org/t/cv2-optflow-calcopticalflowsparserlof-giving-assertion-error/4835)
- [calcopticalflowsparserlof-assertion-error-in-initialflow](https://forum.opencv.org/t/calcopticalflowsparserlof-assertion-error-in-initialflow/8669)
The bug is manifested only if 'UseInitialFlow' is set to true and 'ForwardBackwardThreshold' > 0 (enabled).
* Fix bug: Invalid Syntax at line 14(draw_motion_comp method)
* Fix bug: TypeError- integer argument expected, got float
* Fix bug: clean up the camera by adding .release()
The while loop in member function buildPyramid in deepflow.cpp terminated as a result of the break statement and never as a result of the termination criteria because the "i" variable in the while loop was never incremented.
Changed the while loop into a for loop
Changed the while loop into a for loop in the member function buildPyramid in deepFlow.cpp
removed trailing whitespace
- made some of dependencies explicit
- removed dependencies to highgui and some other modules where possible
- modified some samples to build without modules
This patch adds ocl kernels to accelerate Dense Inverse Search
based optical flow algorithm, it acclerates 3 parts in the algorithm,
including 1) Structure tensor elements compute, 2) Patch inverse search,
3) Densification compute.
Perf and accuracy test are also added. The perf test shows it is 30%
faster than the current implementation.
Signed-off-by: Li Peng <peng.li@intel.com>
* Minor fixes
* Start adding correspondence finding
* Added finding of correspondences using GPC
* New evaluation tool for GPC
* Changed default parameters
* Display ground truth in the evaluation tool
* Added training tool for MPI Sintel dataset
* Added the training tool for Middlebury dataset
* Added some OpenCL optimization
* Added explanatory notes
* Minor improvements: time measurements + little ocl optimization
* Added demos
* Fixed warnings
* Make parameter struct assignable
* Fix warning
* Proper command line argument usage
* Prettified training tool, added parameters
* Fixed VS warning
* Fixed VS warning
* Using of compressed forest.yml.gz files by default to save space
* Added OpenCL flag to the evaluation tool
* Updated documentation
* Major speed and memory improvements:
1) Added new (optional) type of patch descriptors which are much faster. Retraining with option --descriptor-type=1 is required.
2) Got rid of hash table for descriptors, less memory usage.
* Fixed various floating point errors related to precision.
SIMD for dot product, forest traversing is a little bit faster now.
* Tolerant floating point comparison
* Triplets
* Added comment
* Choosing negative sample among nearest neighbors
* Fix warning
* Usage of parallel_for_() in critical places. Performance improvments.
* Simulated annealing heuristic
* Moved OpenCL kernel to separate file
* Moved implementation to source file
* Added basic accuracy tests for GPC and PCAFlow
* Fixing warnings
* Test accuracy constraints were too strict
* Test accuracy constraints were too strict
* Make tests more lightweight
Added an option to pass an initial approximation of optical flow in
DISOpticalFlow. Added a python sample that demonstrates the use of this
feature for temporal propagation of flow vectors.
Liutong HAN
Maksim Shabunin
Mat&I
Alexander Alekhin
Tomoaki Teshima
Gary Allen
Suleyman TURKMEN
Alexander Alekhin
Moeed
tompollok
Hamdi Sahloul
trobro
Vitaly Tuzov
Vladislav Samsonov
Diego
Yuriy Obukh
LaurentBerger
Li Peng
berak
sbokov