ros2/hailort
3
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

v4.14.0 (#9)

Browse Source
This commit is contained in:
HailoRT-Automation
2023-06-29 15:02:42 +03:00
committed by GitHub
parent 86bb9c4968
commit 9bce73eb42
377 changed files with 17950 additions and 8664 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
README.md
View File

@@ -1,12 +1,12 @@
<p align="left">
<img src=".hailort.png" />
<img src=".hailort.jpg" />
</p>
# HailoRT #
HailoRT is a lightweight, production-grade runtime library that runs on the host processor and provides a robust
user-space runtime library (the HailoRT Library) with intuitive APIs in C/C++ for optimized performance
user-space library (the HailoRT Library) with intuitive APIs in C/C++ for optimized performance
HailoRT consists of the following main components:
- HailoRT Library.
@@ -42,8 +42,8 @@ Contact information and support is available at [**hailo.ai**](https://hailo.ai/
## About Hailo-8™
Hailo-8 is a deep learning processor for edge devices. The Hailo-8 provides groundbraking efficiency for neural network deployment.
The Hailo-8 edge AI processor, featuring up to 26 tera-operations per second (TOPS), significantly outperforms all other edge processors.
Hailo-8 is a deep learning processor for edge devices. The Hailo-8 provides groundbreaking efficiency for neural network deployment.
The Hailo-8 edge AI processor, featuring up to 26 Tera-Operations-Per-Second (TOPS), significantly outperforms all other edge processors.
Hailo-8 is available in various form-factors, including the Hailo-8 M.2 Module.
The Hailo-8 AI processor is designed to fit into a multitude of smart machines and devices, for a wide variety of sectors including Automotive, Smart Cities, Industry 4.0,