CodeProject.AI Version 2.0

talguy385 said:
Hi all, Can someone explain to me how I would load custom models when I am using CPAI in Docker on a different machine than what blue iris is running on? Do I need to point both the docker and blue iris to the same folder that has the custom models? Does blue iris only need to know of the custom models in order to determine the tags that are trained within the model?
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gwithers reply is probably the right way to do this and his info on using Docker has been very useful to me.
I have Docker Desktop running on Windows WSL2 on the same box as BI and could not get any Custom models going until I found Blue Iris and CodeProject.AI ALPR from MikeLud1 which says to create a directory with blank text files using the same names as the custom models. This seems to work and the Docker instance must be downloading/getting the right models as its log file shows it is processing ipcam-combined, general, license-plate etc. Once I had the dummy files in place I could also check the box for ALPR for plates in the BI settings.
 
Coltect said:
gwithers reply is probably the right way to do this and his info on using Docker has been very useful to me.
I have Docker Desktop running on Windows WSL2 on the same box as BI and could not get any Custom models going until I found Blue Iris and CodeProject.AI ALPR from MikeLud1 which says to create a directory with blank text files using the same names as the custom models. This seems to work and the Docker instance must be downloading/getting the right models as its log file shows it is processing ipcam-combined, general, license-plate etc. Once I had the dummy files in place I could also check the box for ALPR for plates in the BI settings.
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I have my CodeProject.AI ALPR docker configured with local host folders mapped to the docker folders. (I run my CodeProject.AI ALPR on a separate Linux server in docker).
I have my custom models in the correct folder and CodeProject.AI ALPR GUI can see them (via /vison.html URL).
All CodeProject.AI tests and benchmarks work fine for the custom models I use (including ALPR).

With the above ALPR in BI is always disabled.

I have created a new folder on the BI server, pointed the BI AI config to that folder, created empty file for ALPR (license-plate.pt) in the folder, saved the configuration and then restarted the BI service. ALPR for Plates was enabled after this. This is the only way I have found to enable ALPR in BI with CodeProject.AI ALPR running on a separate Linux server.
 
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Would someone be so kind as to refresh my memory on what causes the whole "double tagging" issue where recognized objects have 2 squares and tags (i.e. dog) around them? I thought it was caused by having the "default object detection" box in BI Settings > AI checked but after unchecking that and rebooting I'm still getting the issue.
 
ohlin5 said:
Would someone be so kind as to refresh my memory on what causes the whole "double tagging" issue where recognized objects have 2 squares and tags (i.e. dog) around them? I thought it was caused by having the "default object detection" box in BI Settings > AI checked but after unchecking that and rebooting I'm still getting the issue.
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That is two models actively searching for objects.
 
wittaj said:
That is two models actively searching for objects.
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Ah...so 2 of the default included custom models you're saying? If that's the case what is the easiest way to disable one of more of these models? Just delete the file from the custom models folder lol?
 
if the coral support gets figured out is there a plan on which coral boards to support, usb, pci Or m.2?
 
Glad to see that they go multi-engine as well.

@Chicken: it won´t matter as long you run it on the same host without any layer in between (like docker)
 
tedrpi said:
For folks having issues with BI not allowing a model size selection, CPAI not displaying a model size, or getting CPAI to stick to a model size selection, I'd suggest a uninstall of CPAI, deleting directories, reboot, and clean re-install.

Doing this fixed my issues for CPAI 2.08 and BI 5.7.0.4.
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Thanks, I did do a clean CPAI install for 2.0.7 because it didn’t work at all with BI initially. I haven’t gone to 2.0.8 yet. Will try today hopefully.
 
Ive been running CPAI cpu version for some time now but I recently picked up an nvidia Quadro P620 to try the gpu version.
I now have YOLOv5 6.2 running through GPU using ipcam-combined. seems to be working good...but, when I pull up task manager its shows that all of the traffic is going through internal graphics rather the the P620 GPU. Did I miss something somewhere?
 
Chicken said:
if the coral support gets figured out is there a plan on which coral boards to support, usb, pci Or m.2?
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On that subject I found out only the USB version supports Windows (at least from what I noticed) so it looks like we're stuck with that. It's a pity because there's an M.2 version with 2 TPU's on the one die for very little extra wattage so double the processing power.

As for 2 secs, I would imagine there's something amiss in the way the data is being processed as 4 TOPS (billion operations per second) should be fast enough to get good times.
 
Installed 5.7.0.4 and 2.0.8. Seems to be working. And also can select the size of the detection now. But this new combo spikes to 100% CPU quite a bit now. Not good. Had to change from medium to small.
 
Cache450 said:
Ive been running CPAI cpu version for some time now but I recently picked up an nvidia Quadro P620 to try the gpu version.
I now have YOLOv5 6.2 running through GPU using ipcam-combined. seems to be working good...but, when I pull up task manager its shows that all of the traffic is going through internal graphics rather the the P620 GPU. Did I miss something somewhere?
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Mine has a P400, but close enough...

Untitled.png

Also, are you using the recommended driver and cuda compute versions found here?

CodeProject.AI Server: AI the easy way.

Version 2.6.5. Our fast, free, self-hosted Artificial Intelligence Server for any platform, any language
www.codeproject.com www.codeproject.com

An important quote from that page...
Code: 
If you have a CUDA enabled Nvidia card please then ensure you

[LIST=1]
[*]install the [B][URL='https://www.nvidia.com/download/index.aspx']CUDA Drivers[/URL] [/B]
[*]Install [B][URL='https://developer.nvidia.com/cuda-11-7-0-download-archive']CUDA Toolkit 11.7[/URL].[/B]
[*]Download and run our [B][URL='https://www.codeproject.com/KB/Articles/5322557/install_CUDnn.zip']cuDNN install script[/URL] [/B]to install cuDNN[B].[/B]
[/LIST]
[B]Nvidia downloads and drivers are challenging! [/B]Please ensure you download a driver that is compatible with CUDA 11.7, which generally means the CUDA driver version 516.94 or below. Version 522.x or above may not work. You may need to refer to the release notes for each driver to confirm

Since we are using CUDA 11.7 (which has support for compute capability 3.7 and above).we can only support NVidia CUDA cards that are equal to or better than a GK210 or Tesla K80 card. Please refer to [URL='https://en.wikipedia.org/wiki/CUDA#GPUs_supported']this table[/URL] of supported cards to determine if your card has compute capability 3.7 or above.

Newer cards such as the GTX 10xx, 20xx and 30xx series, RTX, MX series are fully supported.
 
OMG, when you wish you'd never messed with it when it was working :( lol

I've tried repairs, uninstalls (including deleting every reference I can find manually), wmi repair, and still every time I restart the PC I then have to spend 10 minutes stopping, starting, stopping, starting CPAI from BI itself and also from the CP Dashboard. I'm getting really fed up with it now so taking a break before throwing it out the window lol

on 2.0.8 and latest BI.

Anyone else with the same issue?
 
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