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Thanks, I had already found 2.0.1 by the time I read this and tried it. 2.0.1 worked for me

I am seeing this same error after uninstalling 1.6.8 and installing 2.0.0.0 Have run repair multiple times Uninstall, Reboot, Install multiple times Nothing has helped thus far Interesting enough I had installed 2.0.0.0 over 1.6.8 at first and it was working, but I was having some crashing...

@MikLud1, Are you sure about this Mike? I know it has been said over and over that the image gets resized. However, I recently noticed when looking at my AI analysis on one particular camera that the image resolution in the upper right corner was not 840x480, but was instead, the native...

My Beta testing rig is an i5 -4500 @3.30GHz also with a GTX 1050. Even with AI and all decoding offloaded to the GPU, the CPU still seems to struggle. Averaging 50%+ , sometimes spiking to 100% and not coming down for long periods... if ever. Unless it is just the new version of BI causing...

I am curious to know...how many motion triggers per minute are you processing according to the BI AI tab? My system is averaging 60-80 per minute and I have found that when it comes to the busier hours my i5-10400 starts to get too busy for my likeing as compared to my GTX 1050 which never...

This was covered in a post earlier today: 5.5.8 - June 13, 2022 - Code Project’s SenseAI,

YOLOv5n should be fast, but at the cost of being less accurate I believe you should run the larger models if your hardware can handle it You can easily download all the YOLOv5 models and test them in the CodeAI web interface to see what you think of the results when run against the sample pics...

I do not run the docker version so I really am not sure how that setup works. I am sure that Mike will chime in here as many people are running docker and custom models

YOLOv5 main GitHub page: GitHub - ultralytics/yolov5: YOLOv5 in PyTorch > ONNX > CoreML > TFLite YOLOv5 release page: Releases · ultralytics/yolov5 Link to YOLOv5l model file: https://github.com/ultralytics/yolov5/releases/download/v6.2/yolov5l-cls.pt Download the model file and place...

Restart service did not help, but reboot fixed it

Now I am not able to turn of any of the CodeAI modules. They keep turning themselves back on

I just tried this except mine is greyed out on medium ( which should be even faster) and my detection times have gone up a bunch 4730ms average...up from ~780ms

My production machine is running the latest release 1.5.6.2 i5-10400F@2.9GHz 16GB RAM GTX 1050 It has the same BI settings but on and older version because I exported them to build my test rig. BI UI tab says 553,000 analyses at an average of 232ms and 61.51/min

I stood up a "new" PC for the Beta (1.5.7-Beta+0002) testing by repurposing an old "gaming" PC I have. Specs i5 -4500 @3.30GHz 16GB RAM GTX 1050 10 cameras I am also using the YOLOv5l model on all cameras along with the delivery model on 1 camera. BI AI tab says I am averaging 792ms. My...

Mike, Has anyone tried testing in a VM to make it easier to undo issues and start again?

I would like to suggest another possible solution to hardware decode. What I experienced was unstable FPS in Web UI when using my Nvidia GPU for CodeAI and video decode. What I did was switch my video decode to Intel+VPP . My CPU averages around 15% and my GPU less than 10%. i have nine 4MP...

@Dave Lonsdale Dave, Sounds like what you want is ipcam-combined or you could download yolov5l which some have found to be more accurate (including myself) and has the ability to identify many different things. Main Github page for YOLOv5: https://github.com/ultralytics/yolov5 Download link...

@Dave Lonsdale Dave, I have had nothing but problems with BI starting CodeAI so I just unchecked that option and I am relying in the fact that it runs as a windows service

@Dave Lonsdale Dave, The export settings are in the main settings menu. you can set the path there

@Dave Lonsdale Dave, Your "to confirm:" field is empty. You need to put the object(s) in there that you are looking to alert on such as vehicle and/or person I might also suggest analyze more images. It looks like that van has not even made it fully into the frame by the time the...

I am using the YOLOv5l and I have seen it detect a person from over 100ft away on an older 2mp camera and I am pretty sure it is not missing anyone

What doorbell are you using? I currently have a Ring so it is not in my BI

I am pretty sure this means it is only using yolov5x NOTE: It identified my van as a train

This is interesting...why do you process so many images? I can see this leading into a very long conversation on these settings. I believe i have a very non-traditional set up for this. I turned my max alert duration all the way to 10sec. I think I am only processing 5 images on most of my...

I can understand that, I guess. I am using the GPU version and this how busy my GPU is: I have seen it spike up as high as 25% briefly on occasion. So I don't feel like I am having an efficiency issue that warrants giving up having the best AI available

I already have default object detection unchecked in BI settings and I don't have BI start/stop AI due to issues I have had with that function

I keep wondering... why do I care if it takes 100ms or 1sec for the AI to process an alert? Isn't accuracy more important and how does the system taking a second or two to register an alert affect my security? Am I missing something?

I think that is telling me I am processing 4200 alerts per hour

How do you turn of the built in sense ai model?

I found this thread this morning and decided to give yolov5x a try. I was using ipcam-general. My times have gone from 50-300ms to 200-1500ms. The times very a lot and I really have no sense of the average, but it is clear that the times have increased quite a lot. As far as accuracy goes, I...