acuitylite 6.0.0

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A brief guide to Acuitylite

Acuitylite is an end-to-end neural-network deployment tool for embedded systems.
Acuitylite support converting caffe/tflite model to TIM-VX case. In addition, Acuitylite support asysmetric uint8 qutization.

System Requirement

Processor: Intel Core i5-6500 CPU @ 3.20GHz x 4 (need to support the avx instruction set) Memory: 4GB RAM (at least) OS: Ubuntu Linux 20.04 LTS 64-bit (recommend)

Install

pip install acuitylite

Document

Reference: https://github.com/VeriSilicon/acuitylite/doc/index.html

Framework Support

• Importer: Caffe, TFLite
• Exporter: TIM-VX

How to run TIM-VX case

The exported TIM-VX case supports both make and cmake.
Please set environment for build and run case:

• TIM_VX_DIR=/path/to/tim-vx/build
• VIVANTE_SDK_DIR=/path/to/tim-vx/prebuilt-sdk/x86_64_linux
• LD_LIBRARY_PATH=$TIM_VX_DIR/lib:$VIVANTE_SDK_DIR/lib

Attention: The TIM_VX_DIR path should include lib and header files of TIM-VX. You can refer TIM-VX to build TIM-VX.

Support

Create issue on github or email to [e-mail]