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event-based-object-detector-rvt
event-based-object-detector-rvt PublicForked from maximaging/event-based-object-detector-rvt
Implementation of "Recurrent Vision Transformers for Object Detection with Event Cameras". CVPR 2023
Python
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orb_slam2_android
orb_slam2_android PublicForked from maximaging/orb_slam2_android
This is a Android Augmented Reality APP based on ORB-SLAM2 and OpenGL，which can work well on both outdoor and indoor environments
C++
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NEFER
NEFER PublicForked from miccunifi/NEFER
[CVPR 2023] NEFER a Dataset for Neuromorphic Event-based Facial Expression Recognition
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arfoundation-samples
arfoundation-samples PublicForked from Unity-Technologies/arfoundation-samples
Example content for Unity projects based on AR Foundation
C#
Repositories
- EgoX Public Forked from DAVIAN-Robotics/EgoX
Code for "EgoX: Egocentric Video Generation from a Single Exocentric Video"
AppiTechLab/EgoX’s past year of commit activity - Unity-SpatialLingo Public Forked from oculus-samples/Unity-SpatialLingo
Spatial Lingo is an open source Unity app for Meta Quest that helps users practice languages through real-world object recognition. Built with Meta SDKs, it’s a template for mixed reality experiences using AI.
AppiTechLab/Unity-SpatialLingo’s past year of commit activity - QuestArUcoMarkerTracking Public Forked from TakashiYoshinaga/QuestArUcoMarkerTracking
This repository enables single and multi-marker detection and tracking using OpenCV with the Passthrough Camera API for Meta Quest 3/3S. It provides sample scenes that support both ArUco(Single/Multi) and ChArUco(Single) markers for augmented reality applications on Quest devices.
AppiTechLab/QuestArUcoMarkerTracking’s past year of commit activity - locate-3d Public Forked from facebookresearch/locate-3d
Open source repo for Locate 3D Model, 3D-JEPA and Locate 3D Dataset
AppiTechLab/locate-3d’s past year of commit activity - virtual-background-android Public Forked from ochornenko/virtual-background-android
This project leverages TensorFlow Lite's body segmentation to replace the background in real-time on Android devices. Using deep learning models, it accurately detects and segments the human figure, allowing users to apply custom virtual backgrounds. Optimized for performance, it ensures smooth processing on mobile devices.
AppiTechLab/virtual-background-android’s past year of commit activity
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