Awesome

Trakcer Benchmark (Tested on python 2.7.10)

Usage

• Default (for all trackers, all sequences, all evaltypes(OPE, SRE, TRE))

  • command: python run_trackers.py

• For specific trackers, sequences, evaltypes

  • command: python run_trackers.py -t "tracker" -s "sequence" -e "evaltype"
  • sequence can be name of Sequence, 'tb50', 'tb100' and 'cvpr13' (using data/tb_50.txt, tb_100.txt, cvpr13.txt)
  • e.g.
    • python run_trackers.py -t IVT,TLD -s Couple,Crossing -e OPE,SRE)
    • python run_trackers.py -s tb50

• Plotting

  • Success rate plotting command: python draw_graph.py
  • Precision plotting commaind: python draw_graph.py precision
  • Draw bbox results: python draw_bbox.py

Libraries

• Matlab Engine for python (only needed for executing matlab script files of trackers)

  http://kr.mathworks.com/help/matlab/matlab-engine-for-python.html

• matplotlib

• numpy

• Python Imaging Library (PIL)

  http://www.pythonware.com/products/pil/

Troubleshooting

• Segmentaion Fault when running 'python run_tracker.py ...' on MacOSX
  • Set DYLD_LIBRARY_PATH environment variable.
  • e.g.: export DYLD_LIBRARY_PATH=/usr/local/Cellar/python/2.7.11/Frameworks/Python.framework/Versions/Current/lib/:$DYLD_LIBRARY_PATH