Recent content by spazstic

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    AI is broken after switching from DeepStack to CodeProject

    Built a new PC/server. Went from an old i7 970 to an i5-12400. 1Tb 990 Pro M.2 SSD, 32 Gb DDR4 RAM. Using old Sata SSD for New folder, with transfer to a 4TB WD purple after 2 days. I know this places a lot of wear on the SSD, but I don't really care. I have several of them I'm not using. CPAI...
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    AI is broken after switching from DeepStack to CodeProject

    Rather than put money into a GPU with a power hog CPU, I'd rather build a decent system with a power efficient CPU and no GPU that can handle the task. Also, no GPU needed as I only remote in.
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    AI is broken after switching from DeepStack to CodeProject

    I looked into used HPs, but the proprietary MB mounting and PSU connections seemed more trouble than it's worth. I have a RAID 6 card with 7x16tb drives mounted in a large case with enough cooling to keep the RAID card happy. Plus the 4tb drive for BI. Can't fit all that in one of those cases.
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    AI is broken after switching from DeepStack to CodeProject

    The 10th gen would be helpful for native encoding on the Plex side of the server. None of the cameras have AI worth a crap. They're inexpensive - mostly SV3C.
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    AI is broken after switching from DeepStack to CodeProject

    That overlay is only shown when watching a recording - I was referring to a permanent overlay on every video recorded... I tuned the cameras for framerate/resolution/substreams. Not much else beyond that. Yes, I tried IE as well. It's an old China camera but still works well, especially at night.
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    AI is broken after switching from DeepStack to CodeProject

    This is great, thanks for the suggestion. I'll play around with the models and see if I can get an improvement. However, I'm starting to think some of the issues may stem from the outdated hardware. CPU cycles to 100% often, and remains there during the object detection phase. I'm now looking...
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    AI is broken after switching from DeepStack to CodeProject

    The BI time/date is there because I'm viewing a past recording. It's not on the footage itself. I know the time/date is incorrect. That's the first camera I purchased and it uses some proprietary plug in, in order to log into the camera. That plug in is now blocked in every browser I've tried...
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    AI is broken after switching from DeepStack to CodeProject

    Yes, why not? Let that overhead float on the camera side rather than the server.
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    AI is broken after switching from DeepStack to CodeProject

    Thanks for the suggestions. I'm using CPU and it's an older CPU (i7 970). I think a system upgrade in the future is needed. #1 - I see Mike's custom models here but you say they're included with CP.AI. Where do I get CP.AI? I thought that was YOLOv5 .NET / 6.2 #2 - I do have substreams...
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    AI is broken after switching from DeepStack to CodeProject

    Thanks, I'd like to get CP working if I can, since that's where BI is headed. Here are my configs:
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    AI is broken after switching from DeepStack to CodeProject

    Also, 85% is quite high. A person walking through the frame is in the 60-90% range, so you're going to miss a lot of positive IDs.
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    AI is broken after switching from DeepStack to CodeProject

    Thanks, I'm aware of that. I've been playing with changing the percentage and creating blackout zones but my point is that CP.AI is much less accurate than Deep Stack was, so I don't see the push to change. Hopefully it will improve in the future.
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    AI is broken after switching from DeepStack to CodeProject

    Thanks, good catch there. I followed your original instructions - disabled AI in BI, completely uninstalled CP.AI and deleted the two folders, then reinstalled. It took a while then showed the latest version with Cuda running. Started BI, and enabled AI. CP.AI then threw a bunch of errors - GPU...
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    AI is broken after switching from DeepStack to CodeProject

    I had assumed I was up to date based on the BI status:
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    AI is broken after switching from DeepStack to CodeProject

    CP Server log. I'm guessing some of the missed images are due to the time it's taking to perform the object detection. Today is a windy day, so there are a lot of alerts occuring.
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