DeepLabv3Plus

This version of deeplabv3plus_mobilenet 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)
  • M.2 Accelerator card
• AX637

Chips	Models	Time
AX650	deeplabv3plus_mobilenet_u16	13.4 ms
AX637	deeplabv3plus_mobilenet_u16	39.4 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.py --img samples/1_image.png --model models-ax637/deeplabv3plus_mobilenet_u16.axmodel

Output image: