Skip to content
/ HOTS Public
forked from VictorBoutin/HOTS

Python implementation of HOTS: Hierarchy Of event-based Time-Surface for pattern recognition

License

Notifications You must be signed in to change notification settings

SpikeAI/HOTS

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

HOTS

Python code to replicate HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition by Xavier Lagorce, Garrick Orchard, Francesco Galluppi, Bertram E. Shi and Ryad B. Benosman.

Requirements :

Running the HOTS library requires the following packages :

  • numpy
  • pandas
  • matplotlib

This can be performed using the requirements.txt file :

pip install -r requirements.txt

A special version of tonic have to be installed. Download the library and move to its root folder (where you find the setup.py file) and type :

pip install -e .

Installation

To Install the HOTS library, move to the root folder (where you find the setup.py file) and type :

pip install -e .

About

Python implementation of HOTS: Hierarchy Of event-based Time-Surface for pattern recognition

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.6%
  • Other 0.4%