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https://github.com/pmixer/otb.plugin

Bridging python and matlab version OTB
https://github.com/pmixer/otb.plugin

benchmark computer-vision tracking

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Bridging python and matlab version OTB

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# Visual Object Tracking Benchmark Appendix
> Bridging python and matlab version of OTB

For visual tracking practioners and researchers. As Python version of the [benchmark](http://cvlab.hanyang.ac.kr/tracker_benchmark/) is easier to use but its plotting function is incomplete, matlab version is better at plotting but not everyone love it. You may use `converter.py` to help with the issue.

```Python
python converter.py
```

Please make sure you are using python2 and installed `scipy`, otherwise you may also modify `converter.py` to meet your needs.

`benchmark_py` and `benchmark_mat` are placeholders and not executable if you do not configure them. Please download and configure
them from the corresponding urls(For python version, you may also need to install the Matlab with python engine support or you may just modify benchmark code to run other trackers not implemented in matlab):

+ Matlab version-[http://cvlab.hanyang.ac.kr/tracker_benchmark/v1.0/tracker_benchmark_v1.0.zip](http://cvlab.hanyang.ac.kr/tracker_benchmark/v1.0/tracker_benchmark_v1.0.zip)
+ Python version-[https://github.com/jwlim/tracker_benchmark](https://github.com/jwlim/tracker_benchmark)

Or modify `ORIGIN_PATH` and `EXPORT_PATH` in `converter.py` to your configured benchmark results location.

In reference to:
```
@inproceedings{ WuLimYang13,
Title = {Online Object Tracking: A Benchmark},
Author = {Yi Wu and Jongwoo Lim and Ming-Hsuan Yang},
Booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
Year = {2013}
}
```