It worked, but it must have been it was timed right when it started before it says Lost Contact.
CodeProject.AI Version 2.0
- Thread starter MikeLud1
- Start date
It worked, but it must have been it was timed right when it started before it says Lost Contact.
Yep, it is unchecked.
I noticed the custom models were missing on that page, so I restarted yet again and finally it appears to be working. Go figure.
I need to email Ken about the way he is pulling the Custom Model, I am see a lot of user having issues with this.
OfficerD00fy
Young grasshopper
Getting the same issue. I'd have probably 900-1500 requests then lose connection and it'd restart.
I get this on every restart but it settles after a couple of minutes. Very high CPU and memory usage for the CPAI process while it happens (100% CPU and 2Gb+ memory usage for the process). Runs smoothly with GPU DirectML thereafter using 250Mb memory and less than 5% CPU. The 30 second duration is likely a timeout? I'm running 2.4.7 on an i7-11700:
The slowdown still exists. I have tried some fixes but no luck, I am still working on it.
Hey.
Anyone noticed Nivdia gpu’s starting/stopping when using yolov5.NET? Seems to prefer yolo.6.2. If I leave yolo.6.2 installed and stop it. I can get yolo.net to run and stay running. If I uninstall yolo.6.2 and only have yolo.net it acts up. Prefer Yolo.net for the speed. Tried with 2.5.0 and New 2.5.1.
Anyone noticed Nivdia gpu’s starting/stopping when using yolov5.NET? Seems to prefer yolo.6.2. If I leave yolo.6.2 installed and stop it. I can get yolo.net to run and stay running. If I uninstall yolo.6.2 and only have yolo.net it acts up. Prefer Yolo.net for the speed. Tried with 2.5.0 and New 2.5.1.
Vettester
Getting comfortable
- Feb 5, 2017
- 853
- 841
If you’re still on 2.5.1 there’s an update to the yolov5.NET module (1.9.1) that should resolve this issue.
Well it fixed the "Lost contact" part, but still getting the 30 second timeout issue on yolov5.net 1.91
Vettester
Getting comfortable
- Feb 5, 2017
- 853
- 841
YOLOv5.NET 1.9.2 was just released to resolve the timeout issue.
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Since CodeProject.AI is out of beta I started a new thread for all topics CodeProject.AI version 2.5 and greater.
ipcamtalk.com
CodeProject.AI Version 2.5
CodeProject.AI version 2.5 was released Jan 23, 2024, this thread is for all topic CodeProject.AI version 2.5 and greater. This version is no longer beta https://www.codeproject.com/Articles/5322557/CodeProject-AI-Server-AI-the-easy-way If you need any info on CodeProject.AI version 2.0 to...
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Hi
I have BI setup with approximately 15cams running (Hikvisions) some of these are clone cams for AI alerts. I am detecting 'person'only using ipcam-combined.
Is this the best model to use with YOLOv5.Net 1.9.2? or is there a faster way to process?
I typically set to detect 5 images at 500ms
I notice then when triggered and detecting CPU spikes to 100% for a few seconds and then drops down to around 15%
Is the spiking normal or is there something I can do to assist this. I have a Lenovo AIO pc with 16gb Ram
CPU - i5-10400T @ 2.00GHz
6cores 12 processors
Intel UHD 630 GPU
Status logs in CPAI report around 250ms -1500ms at time or higher
Also get Random shutdowns
Use Main Stream is unticked
Any advice/help is appreciated
thanks
I have BI setup with approximately 15cams running (Hikvisions) some of these are clone cams for AI alerts. I am detecting 'person'only using ipcam-combined.
Is this the best model to use with YOLOv5.Net 1.9.2? or is there a faster way to process?
I typically set to detect 5 images at 500ms
I notice then when triggered and detecting CPU spikes to 100% for a few seconds and then drops down to around 15%
Is the spiking normal or is there something I can do to assist this. I have a Lenovo AIO pc with 16gb Ram
CPU - i5-10400T @ 2.00GHz
6cores 12 processors
Intel UHD 630 GPU
Status logs in CPAI report around 250ms -1500ms at time or higher
Also get Random shutdowns
Use Main Stream is unticked
Any advice/help is appreciated
thanks
Thanks, I have substreams off on BI so I can view in better quality. Hope the attached help.
Vapour from my boiler causes a load of CPU jump!
Attachments
@ch3st3rk If you don't have substream configured for camera, then BI5 has no choice but to use main stream image for CP.AI. Main stream image will take more CPU to do AI detect than substream image. Add substream to camera temporarily to see if it improves AI response time.
BTW, please send #2 requested screenshot, the AI analysis details for a triggered event. It looks like this:
To get this screen, when in BI5 console, on your left, hold down Ctrl key while double clicking on a triggered event thumbnail
Note the AI response time of <100ms in mine, and the image resolution in the upper right corner.
BTW, please send #2 requested screenshot, the AI analysis details for a triggered event. It looks like this:
To get this screen, when in BI5 console, on your left, hold down Ctrl key while double clicking on a triggered event thumbnail
Note the AI response time of <100ms in mine, and the image resolution in the upper right corner.
Thanks I will have to take a look a little later, will using sub stream prevent the CPU spikes or is that quite normal when detection triggered to analyse AI object?
thanks
@ch3st3rk It's best practice to configure main+sub streams for every camera to reduce CPU load, especially if you have cameras with high resolution like 4k. You're not missing out, you still have access to the main streams for viewing.
In general, AI models are trained on lower resolution images so if your images are high-res like 4k, they will be downsized (takes time and CPU load) as part of AI detection.
In general, AI models are trained on lower resolution images so if your images are high-res like 4k, they will be downsized (takes time and CPU load) as part of AI detection.
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Ok thanks I will setup some sub streams and see how that goes and report back, thanks for your help!