Possible sub-stream resolutions vary with the camera. E.g. a Dahua 5442 has 3 streams that is very nice. Can be configured e.g. to 1 full res., 1 full HD, 1 ~VGA. I love this approach. But for example a non-C Hikvision 2086 has only 720p 3rd stream, and so on. Dahua's full-HD third stream is also full quality.
CodeProject.AI Version 2.0
- Thread starter MikeLud1
- Start date
Hey wassup again... I should change to Gpu version because with the cpu one... impossible... BSOD everytime... cpu 100% I couldn´t believe it...
So gonna keep an eye on it
Thankss! I will update soon
Interesting results from comparing YOLOv5 .NET and YOLOv5 6.2 CUDA!!
With my card gtx970 the YOLOv5 6.2 appears faster (Both on large model scale)
09:42:48:Object Detection (YOLOv5 .NET): Command completed in 55 ms.
09:42:49:Object Detection (YOLOv5 .NET): Command completed in 46 ms.
09:42:49:Object Detection (YOLOv5 .NET): Command completed in 43 ms.
09:42:49:Object Detection (YOLOv5 .NET): Command completed in 44 ms.
09:42:50:Object Detection (YOLOv5 .NET): Command completed in 46 ms.
09:42:50:Object Detection (YOLOv5 .NET): Command completed in 47 ms.
09:43:50:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
09:43:50:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...f42607) took 27ms
09:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
09:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...923816) took 36ms
09:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
09:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...25bf93) took 29ms
09:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
09:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...93169d) took 35ms
09:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
09:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...638604) took 38ms
With my card gtx970 the YOLOv5 6.2 appears faster (Both on large model scale)
09:42:48:Object Detection (YOLOv5 .NET): Command completed in 55 ms.
09:42:49:Object Detection (YOLOv5 .NET): Command completed in 46 ms.
09:42:49:Object Detection (YOLOv5 .NET): Command completed in 43 ms.
09:42:49:Object Detection (YOLOv5 .NET): Command completed in 44 ms.
09:42:50:Object Detection (YOLOv5 .NET): Command completed in 46 ms.
09:42:50:Object Detection (YOLOv5 .NET): Command completed in 47 ms.
09:43:50:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
09:43:50:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...f42607) took 27ms
09:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
09:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...923816) took 36ms
09:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
09:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...25bf93) took 29ms
09:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
09:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...93169d) took 35ms
09:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
09:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...638604) took 38ms
Hi, Could you attach GPU usage graphs from Task Manager, for both GPU 0 and GPU 1 (CPU's and the 970), of the benchmark, or BI load ? Thanks.
benchmark results from between the 2 with the same photo and using ipcam-combined.
Do these make sense?
34.3 operations per second - 50/50 6.2 cuda
53.7 operations per second - 50/50 .NET
Also Vision results using 6.2 cuda:
gpu is hardly tickled. cpu barely breathing after triggering at 200ms intervals for 10 seconds.
Do these make sense?
34.3 operations per second - 50/50 6.2 cuda
53.7 operations per second - 50/50 .NET
Also Vision results using 6.2 cuda:
gpu is hardly tickled. cpu barely breathing after triggering at 200ms intervals for 10 seconds.
Mine has 0 % 3D utilization (3D may relate to matrix operation, that can be essential to AI), so I think my CP AI still uses either the CPU or the CPU's GPU.
I have no idea how to be sure about that. Found no settings in CP.AI to configure which GPU to use.
Referring to the attached settings, I've set the 'Hardware accelerated decode' to NvDEC and the GPU to 1. And since then the 'Video Decode' of the nVidia GPU has elevated from 0 % while of the UHD 630's fallen to 0 %.
But I think that's the camera video stream decode inside BI and not what CP.AI server utilizes for NN. CP.AI may has its own task scheduler to the GPU and it also selects the GPU. The CPU's Intel UHD 630 is GPU 0, and the nVidia is GPU 1.
But there's no setting in CP.AI to tell to use GPU 1.
Attachments
OK think I understand how the to cancel in alerts works now.
I was observing CP analyses all the snapshots taken withing the trigger range/time before sending out the alert waiting for the best match.
This could cause a delay.
I want instant alert for the first image.
Left the to cancel field blank and reduced the trigger time to 2 seconds.
First positive object found it sends me the alert ends the trigger and sends me the mqtt message and object
Let's say I have the settings at 200ms for 5 seconds.
Looking at the dat file I see it goes through every 25 jpegs and chooses the best confidence before triggering any alert.
I want to be notified immediately on the first match as long as it meets the minimum confidence.
So leaving the cancel field blank and reducing the trigger time appears to alert me faster.
Still have doubts about the retrigger options also. Never had been clear to me
As far as I understand. Let me know if you think otherwise please
Unless I choose in alerts - for new triggers and re-triggers with cancel field filled? Would this keep firing alerts for long triggers? If I see person 10 times in 1 dat file at the moment that only alerts me 1 time. Would choosing new alerts and re-triggers alert me 10 times here?
Looks like I need to try these options in real life outside.
I was observing CP analyses all the snapshots taken withing the trigger range/time before sending out the alert waiting for the best match.
This could cause a delay.
I want instant alert for the first image.
Left the to cancel field blank and reduced the trigger time to 2 seconds.
First positive object found it sends me the alert ends the trigger and sends me the mqtt message and object
Let's say I have the settings at 200ms for 5 seconds.
Looking at the dat file I see it goes through every 25 jpegs and chooses the best confidence before triggering any alert.
I want to be notified immediately on the first match as long as it meets the minimum confidence.
So leaving the cancel field blank and reducing the trigger time appears to alert me faster.
Still have doubts about the retrigger options also. Never had been clear to me
As far as I understand. Let me know if you think otherwise please
Unless I choose in alerts - for new triggers and re-triggers with cancel field filled? Would this keep firing alerts for long triggers? If I see person 10 times in 1 dat file at the moment that only alerts me 1 time. Would choosing new alerts and re-triggers alert me 10 times here?
Looks like I need to try these options in real life outside.
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This is the setting after trial and error
Trigger for 10 secs max 15 secs
200ms- Cancel field blank
and now I get faster alerts as I believe it is sending me alerts for each re-trigger which is what I want to achieve.
Shame I can't configure na mqtt alert action to Trigger everytime but limit the person alerts to say 5 seconds.
Thta 5 second limit applies to all alert actions
Trigger for 10 secs max 15 secs
200ms- Cancel field blank
and now I get faster alerts as I believe it is sending me alerts for each re-trigger which is what I want to achieve.
Shame I can't configure na mqtt alert action to Trigger everytime but limit the person alerts to say 5 seconds.
Thta 5 second limit applies to all alert actions
Last edited:
So I got it from Mike...
CodeProject.AI Version 2.0
I'm having a hell of a time trying to get BI to send in the correct frame to CPAI ALPR. I have a fairly tight shot of cars driving by. They are in the frame for just under 1 second. An example: What I'm finding is that BI is either sending the frames too early (only part of the car is...
I was reading through the older threads trying to get up to speed. In win10 and win11, there is an option to select which program uses which GPU
Here is post about Win 10 and Win11 is basically the same thing. Right click the desktop, select display settings, go down to graphics. In the 'add an app box' browse to Blue Iris and then select which GPU you want it to use
CCTVCam
Known around here
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It depends what you're using the sub for. If it's just live viewing or for AI analysis, then it's not that important.
If you're recording the sub BVR as a backup in case the trips miss something, then it's vitally important it's of good quality otherwise you'll have a recording you can't identify from when you most need to.
Switched high definition back on.
Results were poor and very little difference in processing time. Only use substreams also
Problems...
Fresh install of Win11 Pro on bare metal. I followed the 'easy way' instructions
1. I have NVIDA driver for Quadro p400 v2
2. I installed Cuda 11.7 (Express Install Option)
3. I installed cuDNN script
4. Enabled AI in Blue Iris with gpu selected
Lots of red in the log so I went to one of the links in the log file and downloaded .net 7.0. Restarted the computer and now the CPAI service won't start due to login failure.
This is why I made a Macrium Image beforehand...
Question = was there something else that needed to be installed first? Some .net package or visual studio 2019 or what?
(going to restore image and try again)
Fresh install of Win11 Pro on bare metal. I followed the 'easy way' instructions
1. I have NVIDA driver for Quadro p400 v2
2. I installed Cuda 11.7 (Express Install Option)
3. I installed cuDNN script
4. Enabled AI in Blue Iris with gpu selected
Lots of red in the log so I went to one of the links in the log file and downloaded .net 7.0. Restarted the computer and now the CPAI service won't start due to login failure.
This is why I made a Macrium Image beforehand...
Question = was there something else that needed to be installed first? Some .net package or visual studio 2019 or what?
(going to restore image and try again)
Where do I get it or how was it supposed to be installed? Was there something else I was supposed to install beforehand?