ROAR-internal (FHL-VIVE-Center-for-Enhanced-Reality)

ROAR-internal

FHL-VIVE-Center-for-Enhanced-Reality

Geek Repo

Internal R.O.A.R. student org, see aug-cog for production ready code and the officially supported Lab github.

Location:United States of America

Home Page:https://github.com/augcog

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ROAR-internal's repositories

bngseg

Lane Segmentation via BeamNG from existing map

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:0Issues:0Issues:0

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Language:TypeScriptLicense:MITStargazers:0Issues:0Issues:0

IAC_dataset_maker

A simple repository with a pipeline to identify and extract important camera data to be labelled.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

IAC_db3_to_mcap_converter_with_topic_extractor

Extracts Desired ROS2 mcap bags

Language:PythonStargazers:0Issues:0Issues:0
Language:C++Stargazers:0Issues:0Issues:0

Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

Language:Jupyter NotebookLicense:AGPL-3.0Stargazers:0Issues:0Issues:0