Type 1 Compute Documentation

Welcome to the Type 1 Compute documentation site.

Projects

SpikeYoloV8-Tracker

Event-based Object Detection & Tracking with Spiking Neural Networks

A complete end-to-end pipeline for real-time object detection and tracking using event camera data. The architecture is adapted from the BICLab SpikeYOLO ECCV 2024 implementation.

Key Features:

• BICLab ECCV 2024 Implementation with I-LIF spiking neurons
• Configurable-class detection
• Object tracking through time using ByteTracker
• Event processing for SNN processing
• Highly configurable training and testing pipeline

Get Started with SpikeYoloV8-Tracker →

Documentation Structure

• SpikeYoloV8-Tracker Documentation - Complete guide for the event-based object detection and tracking system

Quick Links

• SpikeYoloV8-Tracker Introduction
• Quick Start Guide
• Installation Guide
• Architecture Overview

Resources

• GitHub: Type 1 Compute
• SpikeYoloV8-Tracker Repository: https://github.com/type1compute/SpikeYoloV8-Tracker