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

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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

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

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