Thanks, appreciate the reply with screen grab, I think the problem is processing power when ExDark model is running, also I am asking too much of it since the cameras have no artificial light so dependant on IR. Essentially when darkness falls the identification relies on the Ai picking out headlights/license plates.
It is clear I need to get myself a new graphics card even if just for testing, I dug out an Nvidia 210 but that won't get close to running Cuda. Slightly frustrating since I almost upgraded to an Nvidia 1660 back in 2020 when they were a good deal, never mind. I dropped the Nvidia 210 in and maybe that will take a bit of load of my CPU regarding Hardware decoding, probably nothing of any consequence.
I am beginning to think that even using the default model with anything more than a handful of cameras would benefit from an NVidia card, more so if running custom models. Certainly if you want to push the Ai to any degree. In fact even just running the Testing & Tuning > Analyze with DeepStack on my Intel i5 4690 with 16GB RAM, a simple clip with a single car pushes the processor straight up to 85-99%. Seems like I will need to decided between either a Quadro P series, 1050 or 1660, temptation is always to go with best possible but there will be no gaming so just Blue Iris driving the decision - leaning towards the 1050/1660.I tried using 999 with several of my cams but I don't think my computer was up to the task...sent my CPU skyrocketing when two or more cameras triggered at the same time
Stuck using the CPU version of DS (no NVidia card).
That's the one I'm using. Shop around, a local computer store had the best price, much cheaper than Amazon. Just make sure that it's the V2 model.
In my previous experimentation, Testing & Tuning ALWAYS used every custom model in my folder. So it always maximized CPU usage.
I am a bit torn on whether to go with a P400 or just bite the bullet on a 1050/1660, currently got 6x 2MP with 4x 4MP being added in the next few weeks, mostly running at 12-15 fps.
I'm running the P400 with 4 x 4MP, 3 x 8MP, 3 x 2MP. All of them enabled for DS, There was someone who figured out that the P400 can handle quite a few DS streams simultaneously. The other nice thing about the P400 is that it's rated for 30W max, much lower than a gaming GPU, if power consumption matters to you...
Thanks for that, if the P400 can handle the job and consume sensible power then I could be persuaded. The current pricing means there isn't a huge margin between the P400 and the 1050 GPU's which offer almost three times the Cuda processing, I just wonder how much more scope that gives Blue Iris regarding DeepStack.
Very useful and as I suspected, it appears from feedback that a card above the 1050/1660 threshold will yield low 100's response time, depending on the scene of course. My daytime average is around 300ms but night can be anything up to 5000 depending on settings. I will await the half price sale on 1660 or aboveI ordered some Dell G5 DT i7-10700F computers with RTX-2060 graphics cards for some particular tasks. I took one and repurposed it for BI to see the performance increases with DeepStack.
The DS responses when using Testing and Tuning are less than 75ms compared to the CPU version which are over 500ms.
Now, how to justify this computer to remain running BI.
the latter is almost double Cuda cores.
Can't help with the jetson nano, I think you mean nvidia p400, p4000 would run it well though
- I will hopefully be installing a 1660 card later today so will have some feedback on that in due course.
What did you use for your training images? Did you have previous alerts images to use or did you go outside and walk in front of the cam in different outfits?
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Excellent, no I just used previous alert images for training. Don't let that stop you from walking in front of your cameras in different outfits though 
