Install worked and modules installed fine. I'm still having an issue with the License Plate Reader module not working though. Can anyone else confirm this via CodeProject.AI Explorer?Hoping the Blue Iris issues have been resolved with 2.2.4:
Under the Install Modules tab do you have License Plate Reader version 2.6 installed or a different version?Curious to see what others get, but this is my test in the CodeProject.AI Explorer:
View attachment 172643
Version 2.6Under the Install Modules tab do you have License Plate Reader version 2.6 installed or a different version?
I don't have a dedicated GPU either. My computer is just old and asking for death, but instead I make it do detections.I don't have a dedicated GPU but I'm seeing times a lot better than what you posted.
What is your CodeProject.AI Server System Info tab?I just tested with 2.2.4 and 2.0.8 (both CPU versions) via Docker and the license plate recognition didn't work with those either via the Explorer page. Something has to be wrong.
Server version: 2.2.4-Beta
Operating System: Linux (Linux 6.1.34-Unraid #1 SMP PREEMPT_DYNAMIC Fri Jun 16 11:48:38 PDT 2023)
CPUs: Intel(R) Xeon(R) CPU E3-1230 V2 @ 3.30GHz (Intel)
1 CPU x 4 cores. 8 logical processors (x64)
System RAM: 16 GiB
Target: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
.NET framework: .NET 7.0.11
Video adapter info:
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Try this out firstI just received my Coral USB. Will it now work in an CP.AI unRaid Docker Container? I just updated to 2.2.4 and installed the ObjectDetection (Coral) module. On the status page it shows CPU under the Coral module but CPU, so I'm guessing it's not actually using the Coral USB?
View attachment 172756
Here's my System Info:
Code:Server version: 2.2.4-Beta Operating System: Linux (Linux 6.1.34-Unraid #1 SMP PREEMPT_DYNAMIC Fri Jun 16 11:48:38 PDT 2023) CPUs: Intel(R) Xeon(R) CPU E3-1230 V2 @ 3.30GHz (Intel) 1 CPU x 4 cores. 8 logical processors (x64) System RAM: 16 GiB Target: Linux BuildConfig: Release Execution Env: Docker Runtime Env: Production .NET framework: .NET 7.0.11 Video adapter info: System GPU info: GPU 3D Usage 0% GPU RAM Usage 0 Global Environment variables: CPAI_APPROOTPATH = <root> CPAI_PORT = 32168
What is your CodeProject.AI Server System Info tab?
Server version: 2.2.4-Beta
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: 12th Gen Intel(R) Core(TM) i7-12700 (Intel)
1 CPU x 12 cores. 20 logical processors (x64)
GPU: NVIDIA GeForce RTX 3070 Ti (8 GiB) (NVIDIA)
Driver: 526.98 CUDA: 12.0 (max supported: 12.0) Compute: 8.6
System RAM: 80 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.5
Video adapter info:
NVIDIA GeForce RTX 3070 Ti:
Driver Version 31.0.15.2698
Video Processor NVIDIA GeForce RTX 3070 Ti
Intel(R) UHD Graphics 770:
Driver Version 31.0.101.3959
Video Processor Intel(R) UHD Graphics Family
System GPU info:
GPU 3D Usage 16%
GPU RAM Usage 5.4 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Thanks for the link. That's a good reference. I already had the drivers installed though it doesn't show anything for the USB coral under Coral Settings. It does show up when I run lsusb from the unraid CLI. I passed through the coral via the container Device setting. I've tried un-installing and re-installing the coral module about 10x. I never see if change from CPU to TPU.Try this out first
GitHub - HarleyL7/unRAID-CoralTPU-Guide
Contribute to HarleyL7/unRAID-CoralTPU-Guide development by creating an account on GitHub.github.com
You need to download the coral drivers and pass through the coral to the container.