YangHai-1218/PseudoFlow

Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation (ICCV 2023)

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Emerging

This project helps roboticists and automation engineers accurately determine the 3D position and orientation of objects in real-world scenarios. It takes standard color images (RGB) as input and outputs precise 6D object pose estimations, without needing additional depth sensors or manual annotations. It's ideal for those working with robots, industrial automation, or augmented reality applications.

No commits in the last 6 months.

Use this if you need to precisely locate objects in 3D space using only standard camera images, especially when ground truth annotations or depth data are unavailable for training.

Not ideal if you primarily work with depth sensors or already have highly accurate 2D segmentation mask annotations for your training data.

robotics industrial automation augmented reality computer vision object tracking
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

39

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Oct 07, 2023

Commits (30d)

0

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