Event-Based Vision Data Analysis

A Python toolkit for analyzing and visualizing event-based camera data statistics, focusing on spatial and temporal event distributions.

Features

• 3D Spatial Visualization: Generate 3D surface plots showing event density distributions across spatial coordinates
• Comprehensive Flux Statistics: Analyze event density, counts, polarity ratios, and pixel occupancy
• Train/Test Comparison: Side-by-side statistical comparison between training and test datasets
• Summary Statistics: Detailed numerical summaries with mean and standard deviation metrics

Installation

pip install -r requirements.txt

Visualisation

Check this library for data viz https://streamlit.io/