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NVIDIA
NVIDIA
CenterPose - ISAAC Ros
Model
NVIDIA
NVIDIA
CenterPose - ISAAC Ros

3 pose detection model for retail objects.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Intended Application(s) & Domain(s):Detects the projections of 3D keypoints, estimates a 6-Degrees of Freedom (DoF) pose
Model Type:Category-Level Object Pose Estimation
Intended Users:Developers working in smart spaces, retail, and industrial applications
Output:3D Bounding-Box, Cuboid Dimensions and 6 Degrees of Freedom (DoF)
Describe how the model works:Single RGB imagedetects the projections of 3D keypoints, estimates a 6-DoF pose, and regresses the relative 3D bounding cuboid dimensions within a single RGB image.
Technical Limitations:Model should not be used in low-light, low contrast lighting conditions, with warped or motion-induced images, and with very small and very large objects. Model accuracy may vary with occlusion or truncation.
Verified to have met prescribed NVIDIA standards:Yes
Performance Metrics:3D Intersection-over-Union (IoU), 2D MPE (Mean Pixel Projection Error), Average Precision (AP) Azimuth Error, Average Precision (AP) Elevation Error
Potential Known Risks:This model may fail to detect projections of 3D keypoints.
Licensing:NVIDIA Open Model License