YangHai-1218/PseudoFlow
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation (ICCV 2023)
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.
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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.
Stars
39
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 07, 2023
Commits (30d)
0
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