Area of Concern
Server Info
- Version: CodeProject.AI 2.9.7
- Operating System & architecture: Debian arm64
- System RAM: 8Gb
- Video card: N/A
- Using Docker: Both with docker and on the base SBC
Describe the bug
Platform shows as
Platform: Linux-Arm64
and won't let me install the RKNN modules (looking at them, it requires orangepi or radxarock), and looking at SystemInfo.cs
https://github.com/codeproject/CodeProject.AI-Server/blob/e3468c831b169e27ed6c97f665f1efb48ab0285f/src/SDK/NET/Utils/SystemInfo.cs#L542C1-L542C76
It appears that on this particular model it shows:
cat /sys/firmware/devicetree/base/model
RK3588 OPi 5 Ultra
Expected behavior
Ability to install RKNN Modules
Screenshots
N/A
Additional context
It might also make more sense to flag the modules as available based on the CPU or RKNN device availability, vs the hardware model reported, or at least have an environment variable to override it.
Area of Concern
Server Info
Describe the bug
Platform shows as
Platform: Linux-Arm64and won't let me install the RKNN modules (looking at them, it requires
orangepiorradxarock), and looking at SystemInfo.cshttps://github.com/codeproject/CodeProject.AI-Server/blob/e3468c831b169e27ed6c97f665f1efb48ab0285f/src/SDK/NET/Utils/SystemInfo.cs#L542C1-L542C76
It appears that on this particular model it shows:
Expected behavior
Ability to install RKNN Modules
Screenshots
N/A
Additional context
It might also make more sense to flag the modules as available based on the CPU or RKNN device availability, vs the hardware model reported, or at least have an environment variable to override it.