---
license: mit
language:
- en
base_model:
- magic-leap-community/superpoint
pipeline_tag: image-feature-extraction
tags:
- Axera
- NPU
- Pulsar2
- SuperPoint
- Computer-Vision
---

# SuperPoint

This repository contains the **[SuperPoint](https://arxiv.org/abs/1712.07629)** 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](https://github.com/AXERA-TECH/ax-samples): Comprehensive guides and sample code for AXera chips.
- [Pulsar2 Documentation](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html): 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:

```bash
root@ax650:~/SuperPoint-Demo# tree
.
|-- ax650
|   `-- compiled.axmodel
|-- infer.py
|-- 1.ppm
|-- 2.ppm
`-- output.jpg
```
# Inference

```bash
python3 infer.py --model ./ax650/compiled.axmodel --img1 1.ppm --img2 2.ppm --output output.jpg 
```

## Output image
  ![](output.jpg)