A library for efficient similarity search and clustering of dense vectors.
facebookresearch
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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
projectaria_tools is an C++/Python open-source toolkit to interact with Project Aria data.
SuperDex brings together a purpose-built physics engine, robotics authoring tools, and a scalable reinforcement learning interface in a unified simulation platform, with VR-based teleoperation and additional capabilities planned for future releases.
Ocean is the in-house framework for Computer Vision (CV) and Augmented Reality (AR) applications at Meta. It is platform independent and is mainly implemented in C/C++.
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
VRS is a file format optimized to record & playback streams of sensor data, such as images, audio samples, and any other discrete sensors (IMU, temperature, etc), stored in per-device streams of timestamped records.
A library for human kinematic motion and numerical optimization solvers to apply human motion
Scalable and Performant Data Loading
Python suite for neuroscience research across all modalities.
This is the official release for the paper "EFM3D A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models" (https//arxiv.org/abs/2406.10224).