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This is the python implementation of single object tracking from GOTURN paper

License: MIT License

Python 98.68% Shell 1.32%

py-goturn's Introduction

PY-GOTURN

This is the python implementation of GOTURN: Generic Object Tracking Using Regression Networks.

Learning to Track at 100 FPS with Deep Regression Networks,
David Held, Sebastian Thrun, Silvio Savarese,

Outputs

Car Sunshade

Why implementation in python, when C++ code is already available?

  • Easy to understand the overall pipeline of the algorithm in detail
  • Easy to experiment new ideas
  • Easy to debug and visualize the network with tools like visdom
  • Little effort in portability to other OS

Functionalites added so far

  • Training the deep network on Imagenet and ALOV dataset

  • Test code for VOT

How to train your own tracker

To train your own tracker, please follow the guide

How to test on VOT dataset

To test your own tracker on VOT2014, please follow the guide

Contact

Please write to me at [email protected], if you have any suggestions or any new functionality you like to see.

py-goturn's People

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