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

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PY-GOTURN

Update

There wont be any new updates to this repository as official Caffe is no longer maintained. But as long as you compile Caffe successfully, this repository should work as is.

Instead, try PyTorch version here.

Some of the others' work using this repository:


NOTE: Please switch to goturn-0.1 branch to try out stable version.


This is the python + Caffe 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.

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