HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

New Seeedstudio reCamera Docs page (#18801)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Lakshantha Dissanayake <lakshantha@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Muhammad Rizwan Munawar 2025-01-22 16:22:10 +05:00 • committed by GitHub
parent e17c1cdfe0
commit 8467e7a58c
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
3 changed files with 113 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

2
docs/en/integrations/index.md
View file

@ -97,6 +97,8 @@ Welcome to the Ultralytics Integrations page! This page provides an overview of
- [Rockchip RKNN](rockchip-rknn.md): Developed by [Rockchip](https://www.rock-chips.com/), RKNN is a specialized neural network inference framework optimized for Rockchip's hardware platforms, particularly their NPUs. It facilitates efficient deployment of AI models on edge devices, enabling high-performance inference in real-time applications.
- [Seeed Studio reCamera](seeedstudio-recamera.md): Developed by [Seeed Studio](https://www.seeedstudio.com/), the reCamera is a cutting-edge edge AI device designed for real-time computer vision applications. Powered by the RISC-V-based SG200X processor, it delivers high-performance AI inference with energy efficiency. Its modular design, advanced video processing capabilities, and support for flexible deployment make it an ideal choice for various use cases, including safety monitoring, environmental applications, and manufacturing.
### Export Formats
We also support a variety of model export formats for deployment in different environments. Here are the available formats: