New CodeProject.AI Object Detection (YOLO11 .NET) Module

Mike (@MikeLud1),

I'm still on 5.9.9.89 running CPAI. I know your focus is on the built-in AI in Blue Iris v6. Is there a way to get your models for BI6 and use them in BI5 using CPAI and this YOLO11 .NET module?

In particular, what models have you regenerated for BI6 and where are they located? I couldn't find them in your GitHub.
 
Mike (@MikeLud1),

I'm still on 5.9.9.89 running CPAI. I know your focus is on the built-in AI in Blue Iris v6. Is there a way to get your models for BI6 and use them in BI5 using CPAI and this YOLO11 .NET module?

In particular, what models have you regenerated for BI6 and where are they located? I couldn't find them in your GitHub.
You can download the models that come with Blue Iris from the below link. Change the file extension from exe to zip and then you can open it with WinRAR or WinZip. Most of the models are still my old models.

What model are you looking for. I just recently retired and want to start training newer models.


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The one that I'm really looking for is IPcam-combined.onnx with the different vehicle types (truck, car, van, bicycle, etc.) and animals (cat, dog, bird, etc.)
 
They work with my ObjectDetectionYOLO11 module, I have not trained these models with YOLO11
Right, I understand that. But you asked which one I'm hoping you'll retain for YOLO11 and that would be it. And I've seen prior requests for the same.

Anyway, I'll switch to the v5 version in the meantime.
 
Hello. I recently found this thread by chance looking for performance info for BI built in AI. I have a RTX 3050 6GiB card. I gave it a go, and using the v5.onnx ipcam-combined(day profile) / ipcam-dark(night profile), I am getting excellent inference times with the model size set to large and sending main stream images to CPAI. Now with BI having Tensor support, I tried switching back. I found that I am getting way slower round trip times in the BI log (90-200ms with yolo11.net/cpai and 400-700ms with blue iris built in AI --not using blue iris built in primary model at all). I am using the same models and settings for both cases. (max analyzers = 2, preload all models turned on with blue iris built in AI). Average system cpu useage also seems up by 5-10 percent on average when using BI built in AI. (I tried remvoing all but the two v5 models from the BI AI models folder incase preloading all the others would effect this). This doesnt sound right to me. I would think that with BI built in AI I would get faster round trip times seeing that the REST api is taken out of the picture) Any paths or things I should be looking at? Thanks all in advance for any suggestions.

Edit: I'm on BI 6.1.3.4. CPAI is 2.9.5. Win 11 all updates installed. i7-9700k with 30gb ram.