No project description provided
Project description
A brief guide to Acuitylite
Acuitylite is an end-to-end neural-network deployment tool for embedded systems.
Acuitylite support converting caffe/darknet/onnx/tensorflow/tflite models to TIM-VX/TFLite cases.
In addition, Acuitylite support asymmetric uint8 and symmetric int8 quantization.
System Requirement
- OS: Ubuntu Linux 20.04 LTS 64-bit (recommend)
- Python Version: python3.8 (needed)
Install
pip install acuitylite
Document
Reference: https://verisilicon.github.io/acuitylite
Framework Support
Tips: You can export a TFLite app and using tflite-vx-delegate to run on TIM-VX if the exported TIM-VX app does not meet your requirements.
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/install
- 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 ML_Support@verisilicon.com
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file acuitylite-6.20.0-cp310-cp310-manylinux2010_x86_64.whl.
File metadata
- Download URL: acuitylite-6.20.0-cp310-cp310-manylinux2010_x86_64.whl
- Upload date:
- Size: 127.8 MB
- Tags: CPython 3.10, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8ac8d1cb7442e404bea207bb16b35cbba8fc16442e51207b4ec28252e834fdb5
|
|
| MD5 |
6f07eb867c31d852485198be494a1102
|
|
| BLAKE2b-256 |
43cfcfb6a77ff18e6247a677073ec13210a0e4477ceb214b1e9a855519463654
|
File details
Details for the file acuitylite-6.20.0-cp38-cp38-manylinux2010_x86_64.whl.
File metadata
- Download URL: acuitylite-6.20.0-cp38-cp38-manylinux2010_x86_64.whl
- Upload date:
- Size: 178.2 MB
- Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
30c7c58922e6054f488686494b54381ba28cf56c8b4d24776985fcf7882db072
|
|
| MD5 |
07e893ba34320046a108f8e6e79b5037
|
|
| BLAKE2b-256 |
45599bd2c17d2f3839a8abab715e4bf12e27998fd11320c428e094f5f48c86f4
|
