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AXERA-TECH/superpoint

sourceHugging Facemitupdated 9mo agoView on Hugging Face
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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:

Supported Platforms

  • —AX650
  • —AX637
ChipsSuperPoint (640x480)
AX65027.443 ms
AX63796.118 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

[image]