of the algorithm including execution on the GPU. The aim is also to
modify the code according to the PRedictable Execution Model (PREM).
-Stable version of the tracker is available from [CTU server][2],
-development happens at [Github][3].
+Stable version of the tracker is available from a [CTU server][2],
+development happens at GitHub [here][wsh] and [here][3].
[1]: http://hercules2020.eu/
[2]: http://rtime.felk.cvut.cz/gitweb/hercules2020/kcf.git
+[wsh]: https://github.com/wentasah/kcf
[3]: https://github.com/Shanigen/kcf
## Prerequisites
-The code depends on OpenCV 2.4 (3.0+ for CUDA-based version) library
-and [CMake][13] is used for building. Depending on the version to be
-compiled you need to have development packages for [FFTW][4],
-[CUDA][5] or [OpenMP][6] installed.
+The code depends on OpenCV 2.4 library
+and [CMake][13] (optionally with [Ninja][8]) is used for building.
+Depending on the version to be compiled you need to have development
+packages for [FFTW][4], [CUDA][5] or [OpenMP][6] installed.
+
+On TX2, the following command should install what's needed:
+``` shellsession
+$ apt install cmake ninja-build libopencv-dev libfftw3-dev
+```
[4]: http://www.fftw.org/
[5]: https://developer.nvidia.com/cuda-downloads
| --- | --- |
| `-DASYNC=ON` | Use C++ `std::async` to run computations for different scales in parallel. This doesn't work with `BIG_BATCH` mode.|
| `-DBIG_BATCH=ON` | Concatenate matrices of different scales to one big matrix and perform all computations on this matrix. This mode doesn't work with `OpenCV` FFT.|
-| `-DOPENMP=ON` | This option can only be used with `OpenCV` or `fftw` FFT implementations. In the default mode it will run computations for differenct scales in parallel. With `-DBIG_BATCH=ON` it will parallelize the feature extraction and the search for maximal response for differenct scales. In case of `fftw` Ffftw's plans will execute in parallel.|
-| `-DCUDA_DEBUG=ON` | This mode adds CUDA error checking for all kernels and CUDA runtime libraries. Only works with `cuFFT` version.|
+| `-DOPENMP=ON` | Parallelize certain operation with OpenMP. This can only be used with `OpenCV` or `fftw` FFT implementations. By default it runs computations for differenct scales in parallel. With `-DBIG_BATCH=ON` it parallelizes the feature extraction and the search for maximal response for differenct scales. With `fftw`, Ffftw's plans will execute in parallel.|
+| `-DCUDA_DEBUG=ON` | Adds calls cudaDeviceSynchronize after every CUDA function and kernel call.|
| `-DOpenCV_DIR=/opt/opencv-3.3/share/OpenCV` | Compile against a custom OpenCV version. |
| --visualize, -v[delay_ms] | Visualize the output, optionally with specified delay. If the delay is 0 the program will wait for a key press. |
| --output, -o <output.txt> | Specify name of output file. |
| --debug, -d | Generate debug output. |
-| --fit, -f[W[xH]] | Specifies the dimension to which the extracted patch should be scaled. It should be divisible by 4. No dimension is the same as `128x128`, a single dimension `W` will result in patch size of `W`×`W`. |
+| --fit, -f[W[xH]] | Specifies the dimension to which the extracted patch should be scaled. It should be divisible by 4. No dimension or zero rounds the dimensions to the nearest smaller power of 2, a single dimension `W` will result in patch size of `W`×`W`. |
## Authors
Original C++ implementation of KCF tracker was written by Tomas Vojir
[here][12] and is reimplementation of algorithm presented in
-"High-Speed Tracking with Kernelized Correlation Filters" paper [1].
+"High-Speed Tracking with Kernelized Correlation Filters" paper \[1].
[12]: https://github.com/vojirt/kcf/blob/master/README.md
## References
-[1] João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista,
+\[1] João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista,
“High-Speed Tracking with Kernelized Correlation Filters“, IEEE
Transactions on Pattern Analysis and Machine Intelligence, 2015
projects / hercules2020 / kcf.git / blobdiff