Open source SDK to create applications leveraging event-based vision hardware equipment
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Updated
Mar 19, 2024 - C++
Open source SDK to create applications leveraging event-based vision hardware equipment
Dataset release for Event-Based, Near-Eye Gaze Tracking Beyond 10,000 Hz
Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction (CVPRW 2023)
Moving Object Detection for Event-based vision using Graph Spectral Clustering (Python implementation)
HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks (IEEE Transactions on Image Processing, 2024)
An Address Event Representation toolbox for loading and visualising event data files in Python
CelePixel CeleX5-MIPI C++ API Wrapper for Python 3
Event-based image velocimetry - retrieve velocity maps from event-based camera recordings of fluid flows containing particles
Event based aperture robust flow
Graph Active Semi-supervised Semantic segmentation for Event-based Vision
Classification of event data video
Coordinate regression with biologically realistic neural networks
Learning heterogeneous delays in a layer of spiking neurons for fast motion detection - Grimaldi Perrinet (2023)
This project is an exploratory exercise on event based cameras data. It aims at enhancing classification model performance in accurately classify pronounced words in lip videos.
This project provides a video pipeline using event-based sensors to capture the vision process. It can run on PC and Xilinx Pynq-Z2, using an abstraction library between the user and the architecture. The repository contains the main codes and the designs of the complete system.
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