I shut down BI... and then I uninstalled v2.0.8. Downloaded v2.1.7 and installed it. Waited until all modules finished installing etc. which took about 10 minutes. I have an NVIDIA P400 GPU, should I stick with Object Detection YOLOv5 6.2 for best accuracy and speed for object detection. The only custom model I use is ipcam-general since I only want to detect person and vehicle. Appreciate the help!
CodeProject.AI Version 2.0
- Thread starter MikeLud1
- Start date
I would test both the YOLOv5 6.2 and the .NET one. See which one gives you better performance. Some state .NET gives better. For me it was opposite so I use the 6.2 one instead. I could never get the .NET one to properly use the GPU in a stable fashion so I stopped messing with it. I get pretty good performance on my Nvidia Quadro P1000 GPU.
sewington
Getting the hang of it
We've been working with Ken at Blue Iris and are hopeful to have a resolution for error 500.
Short version: try the latest Blue Iris release, version 5.7.5.6. Should resolve it.
Long version: The error 500 issue revolves around how Blue Iris processes Face Processing requests and responses. There's no "error," rather Blue Iris is passing images to face recognition when there's no detectable face, and CodeProject.AI returns success = false (and code = 500) as a result. The call was made, the image processed, but the recognition processing failed because there's no face to recognise.
Purely an issue around what constitutes success and failure.
Short version: try the latest Blue Iris release, version 5.7.5.6. Should resolve it.
Long version: The error 500 issue revolves around how Blue Iris processes Face Processing requests and responses. There's no "error," rather Blue Iris is passing images to face recognition when there's no detectable face, and CodeProject.AI returns success = false (and code = 500) as a result. The call was made, the image processed, but the recognition processing failed because there's no face to recognise.
Purely an issue around what constitutes success and failure.
My under-powered 2GB P400 does much better on 6.2 than .NET, roughly 300ms vs 1400.
I'm running 6.2 since upgrading to v2.1.7 today and I'm seeing ~150ms processing times for object detection. Noticeably faster than v2.0.8. I was able to find this data in the BI log file. It would be nice if CPAI would allow filtering of the CPAI log file for events where objects were found so it could be exported for review.
Ready for another Noob question. I wanted to try Mike's custom models so I made a backup of ipcam-general (12/06/2022), I copied over Mike's ipcam-general (03/13/2023)
Made sure Default object detection is unchecked:
Rebooted PC but I was no longer getting any detections/alerts of any kind:
So this morning I decided to copy the original ipcam-general.onyx back but I left the Default object detection unchecked
Now I am only getting Person detections were as before I was getting Person, Car.
I haven't changed anything in the Camera AI section other than add the ipcam-general in Custom models when I tried Mike's.
Made sure Default object detection is unchecked:
Rebooted PC but I was no longer getting any detections/alerts of any kind:
So this morning I decided to copy the original ipcam-general.onyx back but I left the Default object detection unchecked
Now I am only getting Person detections were as before I was getting Person, Car.
I haven't changed anything in the Camera AI section other than add the ipcam-general in Custom models when I tried Mike's.
cyberwolf_uk
Getting comfortable
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I'm not 100% but have you tried adding vehicle in your "To confirmed" and remove everything else so it just says person,vehicle and try that
Vettester
Getting comfortable
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- Feb 5, 2017
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Yep, that’s it. If you’re using the general model it’s vehicle not car.
IPcam-combined Labels: - person, bicycle, car, motorcycle, bus, truck, bird, cat, dog, horse, sheep, cow, bear, deer, rabbit, raccoon, fox, skunk, squirrel, pig
IPcam-general Labels (includes dark models images): - person, vehicle
IPcam-animal Labels: - bird, cat, dog, horse, sheep, cow, bear, deer, rabbit, raccoon, fox, skunk, squirrel, pig
IPcam-dark Labels: - Bicycle, Bus, Car, Cat, Dog, Motorcycle, Person
license-plate Labels: - DayPlate, NightPlate
IPcam-combined Labels: - person, bicycle, car, motorcycle, bus, truck, bird, cat, dog, horse, sheep, cow, bear, deer, rabbit, raccoon, fox, skunk, squirrel, pig
IPcam-general Labels (includes dark models images): - person, vehicle
IPcam-animal Labels: - bird, cat, dog, horse, sheep, cow, bear, deer, rabbit, raccoon, fox, skunk, squirrel, pig
IPcam-dark Labels: - Bicycle, Bus, Car, Cat, Dog, Motorcycle, Person
license-plate Labels: - DayPlate, NightPlate
MikeLud1
IPCT Contributor
All my models are in the below link and they are included in v2.17.
GitHub - MikeLud/CodeProject.AI-Custom-IPcam-Models
Contribute to MikeLud/CodeProject.AI-Custom-IPcam-Models development by creating an account on GitHub.
github.com
Thanks @MikeLud1, I assume the CPAI installer pulls the most recent versions. I know sometime in the past you were talking about updating them.All my models are in the below link and they are included in v2.17.
GitHub - MikeLud/CodeProject.AI-Custom-IPcam-Models
Contribute to MikeLud/CodeProject.AI-Custom-IPcam-Models development by creating an account on GitHub.
Also, is there much difference in accuracy between using the medium vs. large size in CPAI for the ipcam-general model?
So we do still need to point to the custom models in BI with 2.17?All my models are in the below link and they are included in v2.17.
GitHub - MikeLud/CodeProject.AI-Custom-IPcam-Models
Contribute to MikeLud/CodeProject.AI-Custom-IPcam-Models development by creating an account on GitHub.
MikeLud1
IPCT Contributor
Yes
MikeLud1
IPCT Contributor
Version 2.1.7 was only a prerelease for testing, they just did a prerelease 2.1.8 for testing, I am installing it right now. Once they workout the bugs they will do a release to the general public.
Last edited:
Wattstopper101
n3wb
When I view the videos from the triggers, the playback is very laggy/jumpy. Will someone be willing to explain to me what settings I need to smooth out the videos?
MikeLud1
IPCT Contributor
To All
Version 2.1.8 was just released. Hopefully this version should address all the issues everyone was having.
I recommend doing a clean install using the below steps
1. Uninstall CP:AI
2. Delete the Codeproject Directory completely - "C:\Program Files\Codeproject"
3. Delete "C:\ProgramData\CodeProject"
4. Restart The Computer
5. Reinstall CodeProject along with the modules that you wish to install. (All modules get install once the main install is completed, go to the Dashboard to see the install status for the modules)
6. Restart Computer after all the modules are installed
7. Run BI and CP:AI
www.codeproject.com
Version 2.1.8 was just released. Hopefully this version should address all the issues everyone was having.
I recommend doing a clean install using the below steps
1. Uninstall CP:AI
2. Delete the Codeproject Directory completely - "C:\Program Files\Codeproject"
3. Delete "C:\ProgramData\CodeProject"
4. Restart The Computer
5. Reinstall CodeProject along with the modules that you wish to install. (All modules get install once the main install is completed, go to the Dashboard to see the install status for the modules)
6. Restart Computer after all the modules are installed
7. Run BI and CP:AI
CodeProject.AI Server: AI the easy way.
Version 2.6.2. Our fast, free, self-hosted Artificial Intelligence Server for any platform, any language
www.codeproject.com
Thanks for the update. I installed 2.1.8, following the above instructions. Running the most recent version of BI (5.7.62), and get nothing but AI Error 404. I'll roll back BI to a previous version I know worked better and see what happens.