nv-nguyen/gigapose
[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
This project helps robotics engineers and computer vision researchers accurately determine the 3D position and orientation (6D pose) of previously unseen objects in camera images. It takes a camera image and a 3D CAD model of an object as input, and outputs the precise 6D pose of that object within the image. It's designed for professionals working with robotic manipulation, augmented reality, or object recognition in dynamic environments.
263 stars. No commits in the last 6 months.
Use this if you need a fast and robust way to estimate the 6D pose of new, unfamiliar objects from a single camera image, especially in robotics or industrial automation.
Not ideal if your application primarily involves recognizing objects that have been seen and trained on extensively before, rather than novel objects.
Stars
263
Forks
27
Language
Python
License
MIT
Category
Last pushed
Jan 06, 2025
Commits (30d)
0
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