Recent content by wpiman

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    License Plate Setup

    Just to highlight this a little more-- his codeproject.ai under the "mesh" had vision/alpr but not image/alpr. I think Blue Iris might use that? We just added a route.... { "Name": "License Plate Recognition (YOLO11 .NET)", "Route": "image/alpr", "Method"...
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    Jetson Orin Super Nano

    I am going to keep the Jetson exclusive use for CP.AI. I might get a second for mucking with. I also got a 16 Gb Raspberry pi with a Hailo 10 board.
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    Jetson Orin Super Nano

    How are the speeds? This platform is perfect for CP.AI...
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    Jetson Orin Super Nano

    Ok, I pushed it all to docker hub. If you do a docker pull wpiman/codeprojectai-jetson:latest the face detection will be there. Seems to run pretty fast I guess with the CUDA.
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    Jetson Orin Super Nano

    Yep. It should all be accelerated on there. Does it not default to that?
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    Jetson Orin Super Nano

    Ok, I managed to get it running here too. I was able to use CUDA too.. though not sure how much it actually helps here. I'll put it out later today.
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    Jetson Orin Super Nano

    I don't use it for Face Detection but I will try to add it this week. What sort of object detection times are you getting? Did you upgrade it to the Super Nano? Make sure your power mode in MAXN_SUPER. mike@JetsonOrinNano:~$ nvpmodel -q NV Power Mode: MAXN_SUPER 2
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    New CodeProject.AI License Plate Recognition (YOLO11) Module

    https://hub.docker.com/repository/docker/wpiman/codeprojectai-jetson/general The Docker file I built starts with a Jetson Image which is ARM only. I tried to start it on my x86 Linux and it died a quick death. So you don't have a CUDA GPU on that system? I actually have a a x86 with Linux...
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    New CodeProject.AI License Plate Recognition (YOLO11) Module

    I don't know how to say this other than "kind of". I took the ONNX file his directory and got it running in docker. What is your setup?
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    New CodeProject.AI License Plate Recognition (YOLO11) Module

    So those changes I made worked for a bit.... and then went to crap. I have 3 clones of the camera-- One -> original ALPR on my Linux NAS-- works great.. but slow on my Linux CPU box. Two -> Mike Lud Yolo 11 ALPR-- windows/CUDA... worked on blue IRIS and then broke. Works fine on the server...
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    Jetson Orin Super Nano

    Ok, so just adding one more thing here. The board comes in 15W mode when shipped. I just learned you can put it in "SUPER" mode which increases the speed and the wattage to 25 Watts. I am now running TWICE the speed of the 3090 at 25 watts Max. My ALPR reads are 67 ms round trip 33 ms...
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    New CodeProject.AI License Plate Recognition (YOLO11) Module

    I tried that... I think I got it working again.. Make a couple of local changes... modulesettings.json (two fixes): - Module ID key renamed ALPRYOLO11 → ALPR — Blue Iris seems only recognizes the standard ALPR module ID - Route command renamed detect → alpr — Blue Iris validates the...
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    Jetson Orin Super Nano

    Ok, so I don't think anyone else is using this-- and probably doesn't care.. but I had the original 3.3.4 ALPR running with the CPU. I took Mike's Yolo11 ONNX file and with the help of my friend Claude, I managed to get the ALPR working with CUDA acceleration. Seems to be beating my 3090 and...
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    New CodeProject.AI License Plate Recognition (YOLO11) Module

    Not sure what is wrong. I can submit some photos and not others??!! Here is the LPR-- old one. Points to my Linux Server. On the clone I point to the local host (unclick override)... Turned off the addition models. If I leave that on, Yolo 5 6.5 complains.
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    New CodeProject.AI License Plate Recognition (YOLO11) Module

    So I have your original ALPR detection running on a Linux server on this camera I call LPR. That works great. I point to that here... It works great. The camera LPROZONE points to the local host which have YOLO 11 for license plates reading. I can read the plates just fine in the explorer...