Blue Iris Version 6.0.1.24 Now Supports Custom Models

Tinman said:
I assume none of the older ipcam models that were used with CPAI will work with the BIv6 built in AI.
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Hmm...are you only referring to the truly "old" versions (that go back 2-3+ years), or have you been testing the "new" .onyx versions published roughly one week ago by @MikeLud1 (see post #1 Github link above)? The built-in BI AI only supports ONYX versions (with some specific version limitations as well, for now).

Edit: While I was writing my response above, it seems that @MikeLud1 has clarified the situation.
 
MikeLud1 said:
They should be the same models I just renamed the files
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weird, I downloaded the V5 from your github and they worked? Just for fun I renamed one of my saved model files and noticed it was not the same size. I then tested the renamed file and sure enough, it did not work.

compared.jpg
 
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jrbeddow said:
Hmm...are you only referring to the truly "old" versions (that go back 2-3+ years), or have you been testing the "new" .onyx versions published roughly one week ago by @MikeLud1 (see post #1 Github link above)? The built-in BI AI only supports ONYX versions (with some specific version limitations as well, for now).

Edit: While I was writing my response above, it seems that @MikeLud1 has clarified the situation.
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yes I did. I did not see any ipcam-combined files on that link, but I had them saved, but they were the newer .onnx models.
This is what I used:

Screenshot 2026-01-24 161631.jpg
 
Well, it's working great now. I'll just dump the Ipcam models for the newer renamed models.

Screenshot 2026-01-24 163020.jpg Screenshot 2026-01-24 161938.jpg
 
@MikeLud1

Hey Mike, according to the release notes for 6.0.1.25 Ken has switched out the models used for plate detection and plate OCR. Are these the same models you previously recommended? If not, have you done a comparison of the two?
 
Vettester said:
Are these the same models you previously recommended?
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The new models are the best combination.

The plate model is mine and it is the one in this post
MikeLud1

Thread 'Blue Iris Version 6 License Plate Custom Model'

After using the built-in ALPR I found the model used to detect the license plate did not perform well at night. I trained a new plates.onnx model that performs well now during the day and at night. Below is the link to the new model. To use the new model save the model in folder C:\BlueIris\AI\models. Then after saving the model restart Blue Iris service.

Recommended min confidence setting
Day 80%
Night 85%

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The OCR model is the one that is discussed in this post.
adventuredphoto

Thread 'Fine Tune BI6.0 AI OCR'

I noticed that BI6 uses the global_mobile_vit_v2_ocr.onnx...... for LPR OCR. Is there a way to fine tune that using the previous model?
global_mobile_vit_v2_ocr Model Config · Issue #75 · ankandrew/fast-plate-ocr Seems like they don't support the old format and only the cct ones. Any guide or help would be appreciated

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since when was there a PACKAGE model. is that new for v6 or was the file available for use before with cpai
?
 
Just for fun I tested bi-command-v5 model against yolov10m on my demo running the onboard UHD Graphics 770. Little over twice as fast. 6.0.1.25

Screenshot 2026-01-25 105420.jpgScreenshot 2026-01-25 110016.jpg

Kudos to Ken and Mike for making this so easy to run AI compared to the early days of CPAI!
 
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I've been running Blue Onyx for AI and using it's built in IPcam-Combined.onnx model.. Updated to 6.0.1.27 and switched over to using the built in AI and installed the new Bi-combined-v5.onnx and ran a clip to through each .. I repeated the same clip several times and got the same results. Blue onyx had slightly slower analysis times, but was able to pickup a person along with car in the clip.. Using BI built in AI I was unable to pick up the person, it only picked up the car.
I copied the IPcam-Combined.onnx model from Blue Onyx to the Blue Iris model directory and switched over to that model and still was unable to pick up the person, only the vehicle .. So why in this situation is Blue onyx more accurate than the built in AI when using the same model? what am I missing?

onyx.JPGbi.JPG
 
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