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Sponsored by
Tripo AI
AXERA-TECH / superpoint
Model's Last Updated: December 29 2025
image-feature-extraction
Introduction of superpoint
Model Details of superpoint
SuperPoint
This repository contains the SuperPoint model converted to run on the Axera NPU. SuperPoint is a self-supervised framework for training interest point detectors and descriptors, suitable for a large number of multiple-view geometry problems in computer vision.
This version has been quantized using w8a16 and is optimized for use with Pulsar2 (version 4.2) .
Convert Tools Links
For developers interested in custom model conversion or optimization:
- AXera Platform GitHub Repo : Comprehensive guides and sample code for AXera chips.
-
Pulsar2 Documentation
: Official guide on converting ONNX models to
.axmodel.
Supported Platforms
- AX650
- AX637
| Chips | SuperPoint (640x480) |
|---|---|
| AX650 | 27.443 ms |
| AX637 | 96.118 ms |
How to Use
Download the model files and the inference binary to your Axera-powered device:
root@ax650:~/SuperPoint-Demo# tree
.
|-- ax650
| `-- compiled.axmodel
|-- infer.py
|-- 1.ppm
|-- 2.ppm
`-- output.jpg
Inference
python3 infer.py --model ./ax650/compiled.axmodel --img1 1.ppm --img2 2.ppm --output output.jpg
Output image
Runs of AXERA-TECH superpoint on huggingface.co
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More Information About superpoint huggingface.co Model
Url of superpoint
superpoint huggingface.co Url
Provider of superpoint huggingface.co
Other API from AXERA-TECH
Updated:August 26 2026
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