AXERA-TECH/IGEV-plusplus
By AXERA-TECH · ↓ 0 · ♥ 0 · Updated 2026-02-10
What's in this repo
This page lists the files in AXERA-TECH/IGEV-plusplus, including AX637_quant_axmodel.onnx, AX650.onnx.
- 2 ONNX models (.onnx files)
- 36 files, including 28 .png, 2 .axmodel, 2 .onnx, 1 .md, 1 .json, 1 .py
- Last updated 2026-02-10
ONNX files
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
IGEV++
This version of RT IGEV has been converted to run on the Axera NPU using w8a16 quantization.
Compatible with Pulsar2 version: 5.0-patch1
Convert tools links:
For those who are interested in model conversion, you can try to export axmodel through
Support Platform
- AX650
- AX8850
| Chips | Models | Time |
|---|---|---|
| AX650 | AX650_RTIGEV | 139.803 ms |
| AX637 | AX637_RTIGEV | 385.72 ms |
How to use
Download all files from this repository to the device
python env requirement
pyaxengine
https://github.com/AXERA-TECH/pyaxengine
wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc2/axengine-0.1.3-py3-none-any.whl
pip install axengine-0.1.3-py3-none-any.whl
others
Maybe None.
Inference with AX650 Host (such as M4N-Dock, a.k.a. 爱芯派 Pro) or AX637 Host
Input image (take 1 pair of images as examples):
run:
# the default target_chip is AX650, the default input is all images in `demo-img` folder
python3 infer.py
Output image:
AXmodel result (take 2 images as examples):
Model info
Created: 2025-12-15
Updated: 2026-02-10
View on Hugging Face