Update README.md

README.md

@@ -1,3 +1,60 @@
----
-license: apache-2.0
----
+---
+license: mit
+language:
+- en
+base_model:
+- magicleap/superpoint
+pipeline_tag: image-feature-extraction
+tags:
+- Axera
+- NPU
+- Pulsar2
+- SuperPoint
+- Computer-Vision
+---
+
+# SuperPoint on Axera NPU
+
+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](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 | xxx ms |
+| AX637 | xxx ms |
+
+## How to Use
+
+Download the model files and the inference binary to your Axera-powered device:
+
+```bash
+root@ax650:~/SuperPoint-Demo# tree
+.
+|-- ax650
+|   `-- superpoint.axmodel
+|-- ax_superpoint
+|-- input1.jpg
+|-- input2.jpg
+`-- output.jpg
+
+# Inference
+
+## Inference with AX650 Host
+
+## Output image
+
+## Inference with AX637 Host
+
+## Output image