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	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):