README.md

metadata

license: bsd-3-clause
language:
  - en
pipeline_tag: depth-estimation
tags:
  - IGEV++

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

• The repo of original

• Pulsar2 Link, How to Convert ONNX to axmodel

Support Platform

• AX650
  • M4N-Dock(爱芯派Pro)
• AX8850
  • M.2 Accelerator card

Chips	Models	Time
AX650	rt_sceneflow	142.0 ms
AX637	rt_sceneflow(分成三段 rt_p1 + rt_iterfn + rt_up)	123.0 + 29.3*18 + 9.1 = 659.5 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(爱芯派Pro)

Input image:

run

python3 infer_ax.py

Output image:
ONNX result

AXmodel result