Sim Bamford's repositories
AedatTools
Tools for manipulating .aedat files (timestamped address-event data from neuromorphic hardware), in Matlab and Python
Active-Event-Camera-Simulator
AESIM: Active Event Camera Simulator
AWSPics
An AWS CloudFormation stack to run a serverless password-protected photo gallery
bimvee
Batch Import, Manipulation, Visualisation and Export of Events etc
calibrone
Calibration for event cameras, including hand-eye calibration w.r.t. an external pose tracking system
checkerboard
š More robust checkerboard detection, similar algorithm to libcbdetect
copy_folder_from_gdrive_to_s3
Copy a publicly available folder from GDrive to s3. Requires manual authentication, then data streams directly
DvsFramesManifoldRegReinbacherEtAl2016
Frame reconstruction from DVS events with manifold regularization - a pure python offline implementation of Reinbacher et al's code.
edotest
Sim Bamford and Edoardo Ghiddi collaborating on some code
event-driven
neuromorphic development on the iCub robot
graphexp
Interactive visualization of the Gremlin graph database with D3.js
jaer
Java tools for Address-Event Representation (AER) neuromorphic processing.
librealsense
IntelĀ® RealSenseā¢ SDK
LifeStealPlugin
Spigot plugin that makes player lose a heart of their life when killed by another player, which the killer then gets.
minecraft
Resources and instructions related to deploying and managing a minecraft server
mustard
MUlti STream Agnostic Representation Dataplayer
open-neuromorphic
List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.
Pose-Estimation-for-Sensor-Calibration
hand-eye calibration, tool-flange calibration
pyNAVIS
An open-source cross-platform package to analyze and post-process spiking information obtained from neuromorphic cochleas
SpikeCoding
A toolbox for neuromorphic sensing in robotics.
Spikes
A Spiking Neural Network framework with SNNML parser written in Python
styleguide
Style guides for Google-originated open-source projects
tonic
event data sets and transformations
v2e
V2E: From video frames to DVS events