Believe me your not alone, I'm a novice picking up tidbits from the more we'll informedAccording to the console, it's using custom object detection and not Python, which I guess is the default since the only configuration change I made was to disable face and scene detection. I'm still learning the ins and outs of SenseAI and fine tuning it for my needs.
Initially I would forget about folders and simply test CodeProjectAI using the built-in test feature. If that works your good to setup working folders.I apologize, prompted by another thread on IPCT (Videos all black beyond 5 days) I looked in my BI Global>settings>Clips and archiving to see the Folder AI127input which I'd not noticed before, so it hasn't been configured, nor do I know what I would need to enter, or anything.
In the thread, member pbc had Folders "aiinput" and "LPR", I'm not interested in LPR however, now I am left wondering if my un-configured Folder AI127input is the cause of Code Project's AI not working here, a long shot I must admit.
What's the info about the Folders labelled aiinput or AI127input"?
Here apart from the C: Drive, 100% of videos now go to the D: Drive, 99% on New, Alerts 2G, none to Stored, none to AI127input.
It could be you are overloading your CPU by setting analyze one each to 50ms, try 250ms of 500ms. Also you do not need to use mainstream.BI v22.214.171.124, CodeProject.AI v1.5.6-Beta_0002 CPU only, i7-7700 CPU. See attached files.
I have 1 cloned camera dedicated to delivery.pt (v1.4) custom model only. It doesn't recognize USPS, and I see that also when I inspect the dat file.
If I test a snapshot manually in Explorer UI, it finds USPS.
This configuration did work earlier today with Amazon truck (see another screenshot).
Why didn't it work for USPS in real-action (versus Explorer test)? Anything else I can check/debug?
I have the dat file but I'm not sure I can upload it here as an attachment.
P.S. As a side note, I have success with other custom models like ipcam-general.pt on 7+ cams. And CodeProject.AI has been easy to install and use with BI, and rock solid so far.
I agree, you need to give AI more time to analyze the video and find the logo. I have mine set to 5 images,1 second apart. That gives time for the full truck and logo to get into view. 50ms is a little too aggressive, even if you have a GPU, but if you have CPU give it even more headroom.It could be you are overloading your CPU by setting analyze one each to 50ms, try 250ms of 500ms. Also you do not need to use mainstream.
Also curious about this, for example buy a 3060 with 12GB ram or a 3060ti with 6GBI'm curious if anyone has come across a buyer's guide on Nvidia cards for AI use case (I'm not interested in cards for gaming at all, in fact, are there cards that doesn't have any gaming bloat like display ports).
I was hoping to understand what card to buy based on price, AI performance,GPU RAM, compatibility with AI software and power consumption.
A quality card with decent performance at low low power consumption is the ideal card for me, since I will be leaving BI PC on 24x7.
Related, I assume the card you choose will be different if you want one for BI AI prediction workload versus for custom model training.
going to be starting over as I need to replace a failing hard drive. currently using CPU DS, going to switch to senseAI but I was wondering the same. I have choices on cards. 2070s, 2080ti or a 3060ti is ram amount more important?Also curious about this, for example buy a 3060 with 12GB ram or a 3060ti with 6GB
Ram amount seeems very big with Code Sense