Blue Iris and CodeProject.AI ALPR

MikeLud1 said:
It should work with the CUDA version you have installed. Try running a test with the attached image in Explore, like below. Also dose the Lic
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MikeLud1 said:
It should work with the CUDA version you have installed. Try running a test with the attached image in Explore, like below. Also dose the License Plates V2 show in the Object Detection.
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I think I might have some user error or misunderstanding on my part. When I use your provided test, It reads it just fine both cpu and gpu. I had blue iris set to zoom on object. Removing that seems to have fixed my issue. My neighbor has a visitor that is parking right in my shot since yesterday so it's not an ideal situation for me. But I did just get a plate read and in the BI log I now see the plate. But if I take this image and run it through the Codeai explorer it doesn't read it at all.
 

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Hey @MikeLud1 I see this once in a while (maybe 1 in 1000 plates) where spaces in the middle causes the OCR to reverse the order, it only happens when there is a space in the middle. Any idea what's causing it? I'm running the current version on an RKNN. It doesn't happen every time either, these reads are within a min of each other on different cameras (the first and second are on the same camera, vehicle just moving in different direction).

Screenshot from 2025-04-07 11-47-41.pngScreenshot from 2025-04-07 11-54-16.png
 
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PeteJ said:
Hey @MikeLud1 I see this once in a while (maybe 1 in 1000 plates) where spaces in the middle causes the OCR to reverse the order, it only happens when there is a space in the middle. Any idea what's causing it? I'm running the current version on an RKNN. It doesn't happen every time either, these reads are within a min of each other on different cameras (the first and second are on the same camera, vehicle just moving in different direction).

View attachment 218679View attachment 218680
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This happens when the OCR detects the characters as two separate detections because of the space. I have not look at the code recently, I will see if I can fix it.
 
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I was going to say maybe the AI suffers from dyslexia sometimes but now based on Mike's response I have to respond that the OCR may be getting old. It has to reread things over and then mixes it up just like people. LOL
 
I recently installed a Coral.AI and got the drivers working in my server. It works really well but I am getting the following error that someone else got. I set the model to be medium and that does NOT work for me. Any other setttings I should try?

github.com

Small modules ALPR stops working · Issue #267 · codeproject/CodeProject.AI-Server

Server Info CodeProject.AI 2.9.7 Docker 4GB Intel integrated GPU) Describe the bug When using Coral AI or other Yolo models with SMALL, license plate doesn't work: 12:06:30:License Plate Reader: [K...
github.com github.com
 
HI! looking for some advice. I have everything working well EXCEPT.. CPAI is reporting plate numbers in the log but they are not appearing on the alerts in BI. I know I am doing this to myself somehow, just cant figure out what I did..
 
I think there is a memory leak problem with the python code.

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I have an automation to restart my Debian docker if the memory gets to 95% full.

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I too have experienced what appears to be a memory leak in CodeProject.AI, but I don't think we (or at least I) can know for certain whether it's a code problem in CodeProject.AI itself or if BlueIris (or any other client) is not closing a connection that it should.

I am not trying to hijack this thread, but I will reference a different thread that I started with some of my environment details & observations, rather than copy/paste/duplicating it here: CodeProject.AI 2.9.5 w/YOLOv5.NET (GPU/DirectML) memory growth/leak
 
I was having perhaps some high CPU with Codeproject.AI after a few days. Last week I set a crontab to restart the container at 3 AM. I didn't watch the memory usage.
 
Been thinking about building a new machine to run everything rather than the 3-4 machines I have now. I have Codeproject.ai working in Docker and pass through the coral.ai but that doesn't help with ALPR. I have been thinking of getting a NVIDA card to accelerate ALPR and object detection. I don't want to drop $1000 on that. What card are you guys using? I also want to do CUDA acceleration for TTS.

I'll probably get a 24 core i9 with Quicksync for the plex container....Want to get one that does ECC.
 
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