Metadata-Version: 2.1
Name: acuitylite
Version: 6.0.0
Summary: UNKNOWN
Home-page: UNKNOWN
Author: Verisilicon
Author-email: ML_Support@verisilicon.com
License: UNKNOWN
Platform: UNKNOWN
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: tensorflow (<=2.6.0,>=2.3.0)
Requires-Dist: lmdb (==0.93)
Requires-Dist: networkx (>=1.11)
Requires-Dist: flatbuffers (==1.10)
Requires-Dist: dill (==0.2.8.2)
Requires-Dist: ruamel.yaml (==0.15.81)
Requires-Dist: ply (==3.11)

# A brief guide to Acuitylite

Acuitylite is an end-to-end neural-network deployment tool for embedded systems.<br/>
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](https://github.com/BVLC/caffe),
    [TFLite](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite)
- Exporter:  [TIM-VX](https://github.com/VeriSilicon/TIM-VX)

### How to run TIM-VX case
The exported TIM-VX case supports both make and cmake.<br/>
Please set environment for build and run case:<br/>
- 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](https://github.com/VeriSilicon/TIM-VX) to build TIM-VX.

### Support
Create issue on github or email to ML_Support@verisilicon.com


