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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

Chips	Models	Time
AX650	AX650_RTIGEV	139.803 ms
AX637	AX637_RTIGEV	385.72 ms

Download all files from this repository to the device

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

Maybe None.

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):

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