[P] A lightweight FoundationPose TensorRT implementation
Reddit - Machine Learning
1 min read
Article
Summary
This article discusses a lightweight TensorRT implementation of FoundationPose, aimed at improving robotics research by eliminating the heavy Triton Inference Server dependency.
Why It Matters
The article addresses common frustrations with existing FoundationPose implementations, offering a streamlined alternative that enhances efficiency in robotics applications. By sharing this solution, the author contributes to the open-source community and supports researchers facing similar challenges.
Key Takeaways
- The new implementation removes the Triton Inference Server dependency.
- It utilizes ONNX models from isaac_ros_foundationpose to avoid issues with official models.
- The lightweight approach aims to enhance performance for robotics research.
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