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Blue Iris and CodeProject.AI ALPR
@MikeLud1, I changed to those exact settings, and it appears to work, although I still have a problem with that static plate. So I'm not even sure it'll work until that parked car moves. Here is an example where BI cancels based on that same static plate at 91% (and no ocr data returned), and... -
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Blue Iris and CodeProject.AI ALPR
I just tested a manual trigger with ,** added to confirm, and got no models, all red X's. I triggered it twice just to be sure. -
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Blue Iris and CodeProject.AI ALPR
Very interesting... done, jeep still parked... fingers crossed something drives by before it leaves. -
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Blue Iris and CodeProject.AI ALPR
@MikeLud1, not sure if you caught my second post just before yours. That's unfortunate to hear it may require big changes, but you won't be pressured to hurry them along by me. I already appreciate you and the other devs going over the top to make this even work the way it does now. I have faith... -
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Blue Iris and CodeProject.AI ALPR
Oh boy... guess we are lucky that parked car didn't drive off just yet. Check this one out... looks like BI didn't mark the moving plate because the static car was higher percent. This behavior makes parked cars a much bigger problem. BI definitely needs to be filtering out static vehicles here. -
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Blue Iris and CodeProject.AI ALPR
I'll do that, but TBH the red X in analysis doesn't bother me much. I was just worried about plate make times going from 250 to 500msec because OCR is reading the static plates... and about sending BI the motion leading image when I told it not to. I'm thinking since static vehicles are marked... -
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Blue Iris and CodeProject.AI ALPR
I just noticed a minor bug in BI lpr when using "Detect/ignore static objects". BI processes every plate in the frame, including plates on vehicles that are marked as static. This is probably a minor waste of processing power for most use cases, but I figure it's worth mentioning in hopes it... -
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Blue Iris and CodeProject.AI ALPR
I just noticed some interesting behavior with lpr... you don't even need to use the license-plate model for it to work! I noticed my lpr cam having some relatively bad make times, and yesterday I learned about using alpr:0 in my non-lpr cams. I also noticed how BI logs plates appeared distinct... -
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Blue Iris and CodeProject.AI ALPR
15.9GB... and same numbers for the UHD gpu: On a side note, I'm using h265, and neither gpu show any video decode activity (all cams do direct bvr+continuous). The intel gpu stays 4-5% all the time, which I presume is for BI motion. Also, that sorta high CPU usage is mostly from remote... -
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Blue Iris and CodeProject.AI ALPR
Good observation, and that could be a factor. I was running just 8gb before. AI worked consistently, however there were times when multiple simultaneous triggers bogged things down, and then BI would occasionally miss a confirm. Since going to 32gb I haven't had slow downs, with very little... -
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Blue Iris and CodeProject.AI ALPR
I am running license-plate, ipcam-combined, package, and delivery across various cameras... so 4 (high mode). As sort of a stress test along these lines... I can even load up default object detection on top of those 4, and it still works consistently (just slower make times as expected with the... -
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Blue Iris and CodeProject.AI ALPR
The low memory idea has come up before when others reported issues using the same card I am using. Here is another data point: This is with gpu... I'm not saying a lighter version won't be of some use, but perhaps it won't fix the issues these folks are having with their gpu configs. -
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Blue Iris and CodeProject.AI ALPR
I'm curious when the "always look for plates" bug will be fixed in BI. Other than that, the new lpr stuff has been working excellent for me. 9 cams and one lpr... the bug wasting a lot of gpu cycles. -
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CodeProject.AI Version 2.0
Your scenario sounds a bit different than what I dealt with... in my case the dashboard worked fine, but BI just wouldn't communicate with cpai. To fix I 1) disabled AI in BI settings, 2) stopped BI service and shutdown BI, 3) uninstalled cpai through windows, 4) deleted the cpai folder under... -
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Blue Iris and CodeProject.AI ALPR
Thanks! 2 very insightful replies... I very much appreciate such comments from folks who clearly have their head wrapped around AI. The past few weeks I have gone from knowing nothing about AI to having a modest understanding of it's use and the challenges that lie in the way. Most of that... -
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Blue Iris and CodeProject.AI ALPR
I saw the nodered thing, now this php thing, and there's my crappy batch script thing... I'm sensing that this is a very important application with many needles poking at it from different directions. This should be a hint to the BI devs at least. I run nodered for all my homeassistant... -
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Blue Iris and CodeProject.AI ALPR
@wittaj, the fact that I haven't tested this myself started to bug me... just disabled internet going to my BI pc, and will see how it goes. Right away I did get errors about not being able to find updates, but that's expected. FWIW, I'm doing it with iptables on my router since the PC still... -
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Blue Iris and CodeProject.AI ALPR
@TheWaterbug, as others have suggested, you need much higher shutter speed... like 1/1000 minimum. Your FOV is also much wider than necessary, and wastes pixels that could be better used on the plate. If you don't have varifocal, most fixed cams can be modified with different lenses for more... -
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CodeProject.AI Version 2.0
I was thinking exactly that... if it is possible to pick multiple ways, then hopefully some settings can be added for flexibility. That's the best way for BI to ensure all needs are met... lpr is finnicky and the more ingredients we have to mix in, the more likely we are to achieve the result we... -
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CodeProject.AI Version 2.0
Hit the nail on the head I think... a user vote on wether middle of frame or percent should be picked. -
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CodeProject.AI Version 2.0
I'm in sp3ctre's camp. My dahua hfw5231ep-z12 tends to resolve slightly better at night when plates traveling left to right are on the edge of the frame. The reason why is one of the tail lights will be out of frame, resulting in much better characters than when both tail lights are visible (due... -
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Blue Iris and CodeProject.AI ALPR
Yeah 250msec is about right for cpu... that's what I was getting with intel 3570 anyways. That 1030 gpu does look solid... 384 cuda cores and 30W. That beats my p400 with 256 cores and 30W, which does about 13.0 ops/sec (~70-80msec makes... recently purchased used on ebay for $75). GPU does help... -
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Blue Iris and CodeProject.AI ALPR
FWIW, I'm running driver 516.94, as recommended in the cuda notes on the CPAI install instruction page. CodeProject.AI Server: AI the easy way. - CodeProject You appear to be running 517.40. Not sure if that has anything to do with it. -
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Blue Iris and CodeProject.AI ALPR
@wittaj, I'm not a new member, but definitely haven't been keeping up with the scene like you all. That sucks for me to hear, but I get it. I am not much of a networking guy, but I have used wireshark in the past. If time allows I'll try to dig in to this a bit. If Rekor or someone else comes... -
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Blue Iris and CodeProject.AI ALPR
No prob... I do have that warning, but sleep is disabled... so I'm just ignoring it lol. -
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Blue Iris and CodeProject.AI ALPR
I'm pretty sure the main motivation for cpai lpr is to get lpr completely local, without online subscriptions etc. So it would be a 180 if that changed. Also CPAI and the models I believe are all open source. So we probably won't see that side of the code pry any $ from our wallets. BI is... -
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Blue Iris and CodeProject.AI ALPR
@MikeLud1 , just FYI I'm also running a P400 w/ 2GB ram, and lpr is working fine... ~100msec return for lpr. So it must be something else at play. My PC also has 32gb ram... 16gb of which is shared with the gpu. Python processes with lpr, ipcam-combined, license-plates, and deliveries runs up to... -
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Blue Iris and CodeProject.AI ALPR
I am pretty sure you need to add DayPlate to your "to confirm" list, but not sure why AI is not even finding Plates. -
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Blue Iris and CodeProject.AI ALPR
I have seen this warning pop up a few times... wonder what it means, and if it's normal and can be ignored? 09:14:34:ALPR_adapter.py: [2023/01/31 09:14:34] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process