Codeproject ai not using gpu AI available I found it has issues self configuring. AI ALPR As the subject says, trying to use a CUDA GPU. Works great. Here is an example of how to get CodeProject. AI in both the Explorer and Blue Iris, just time out for detection requests and generate no logs. AI with Blue Iris, based on best practices and insights from the IPCamTalk forum and GitHub resources. But detection is abysmal using that model. 3 drivers are having issues. AI Server Mesh Development Guide Development Guide Setting up the Dev Environment Jan 14, 2023 · But after updating to BI 5. AI on Windows CodeProject. But this page says to do more than you need. 4 System: Linux Operating System: Linux (Ubuntu 22. 2 Compute: 7. AI modules (Training a model needs all the resources it can get) Nvidia GPU with as much VRAM is recommended (You can train with a CPU but it will be extremely slow and can take days to have well performing model) Use over 1,000 images when training. 6. ai, a dedicated GPU can significantly enhance performance, especially for AI tasks. AI object detection capabilities into Frigate. I’m getting consistent times around 250-350ms running on just CPU (I don’t have a GPU in my server) and using the main stream which is 1080-4k depending on the camera. specify a directory that will contain the models Feb 12, 2025 · As a workaround, I gave up using the Yolo. Accessing the CodeProject. Edit: I'm running CPAI 2. 6 and then tried to downgrade to 11. 60GHz (Intel) 1 CPU x 4 cores. 2 using GPU and CUDA, so my configuration does work, just not with the current version of License Plate Reader module 3. 4 (ID: ALPR) and CUDDN ver 9. Did your GPU work on the older version of CodeProject. Wait and see if it it still crashes or anything shows up on the Server Dashboard log. NET on a GTX 970 4Gig GPU Dahua PTZ5A4M-25X 5. Yet it says not to install more than one at the same time. AI v. When CodeProject. AI in a separate virtual linux PC via Docker + CUDA. So either its not working or the Intel GPU, in my case the Intel 630 UHD on a 6-core i5-8500T CPU, is not any faster than using the CPU mode. If you want to use every bit of computational power of your PC, you can use the class MultiCL. 2 does not use the gpu even when flagged. AI site mentioned that 5000 is often used by other programs or something within windows itself and can result in problems or failure to connect properly so they changed it to 32168 which is not a well known or common port. Sep 30, 2024 · General question from Code Project AI newbie: I am using CodeProject (server version 2. I can't access the instance from any PC but the PC it is installed onmissing something easy here. NET, YOLOv8] [CodeProject. Apparently 12. I'm on Unraid and my CPAI docker is on it. My general cpu % is about 8% for continuous with motion triggers, unsure when AI hits what it is, messing around i think i got gpu at 15% at times. 8-Beta on a i7-11700 CPU using onboard Intel UHD 750 Graphics View attachment 163172 I had only just installed Codeproject AI yesterday and all day I was only getting nothing found for AI. Using the 'medium' model is the only practical model (that comes out of the box). I am using a half-height GTX 1650 because my PC is a SFF (small form factor) and power supply is not big. Each module tells you if it's running and if it's running on the CPU or GPU. Jun 8, 2015 · Here is my screenshot: No CUDA installed at all. The only reason I asked about the GPU was for ALPR and not Object Detection. Note that unless you have your assets hosted on the CodeProject servers you will need to download your assets manually from whatever location you have them stored. 2 GPU CUDA support Update Speed issues are fixed (Faster then DeepStack) GPU CUDA support for both… Nov 29, 2023 · From my understanding from the past, it was faster to run the . Aug 9, 2023 · Yes Docker Desktop for windows. AI? I think they were to aggressive with disabling older GPUs. Nvidia Quadro P620 GPU. You should Aug 3, 2024 · Installing CodeProject. This way, you get the maximum performance from your PC. Well everything started as CPU, took few moments Aug 25, 2023 · @Vettester Using license-plate is old config advice. I faced the same issue where the ALPR module in CodeProject. AI to recognize faces? I came from Compreface, which has a very straightforward gui to upload face images, but I'm not su and was not sure if CUDA 11. Apr 5, 2017 · Hi all! i'm trying to use ALPR module with my Tesla P4, but i can't. Python seems to be my bigge Dec 12, 2016 · You can also change your accelerator (CPU, GPU) after you have loaded the kernel. PyTorch) Something else Describe t With my current CPU, would it be beneficial to use the NVS 510 only for AI? The CUDA cores of an NVS 510 is only 192 so I'm not even sure if its worth it switching to a dedicated GPU for AI detection. AI threads to see what others are using. If your using Nvidia GPU, you have to make sure your using Cuda 12. Because we would like to use GPU not only for prediction but also for training, we need to introduce an additional image definition – Dockerfile. Apr 19, 2021 · Blue Iris Box: HP S01 with i3-10100, 16GB RAM, Intel 2TB P4500 for OS, DB and New Clips | unRaid Box: 36 TB for archive and running CodeProject. CodeProject. AI-Server - demos - src - etc - CodeProject. exe. I followed the instructions to install all the CUDA stuff. Before using Nvidia, the modules kept crashing and restarting. AI setup Creating Directories…Done GPU support CUDA Comparing similar alerts AI analysis between DeepStack and CodeProject. PyTorch) Something else Describe the bug For th Within Blue Iris, go to the settings > "AI" tab > and click open AI Console. ai. Jan 17, 2020 · Rick The Object Detection (YOLOv5 . The License Plate Reader module does not support iGPU so this module will still use your CPU only Feb 3, 2017 · For running CodeProject. It is best to just use the GPU now for AI and use substreams Jan 16, 2022 · Why We Built CodeProject. AI and DeepStack are open-source AI platforms that can be run on various devices such as the Raspberry Pi, Nvidia Jetson, and other compatible hardware. This morning, I unchecked Use GPU for the AI settings and it is working perfectly now. 1 module is working well for me. AI) server all off my CPU as I do not have a dedicated GPU for any of the object detection. All of my configurations are pretty standard trigger times . Now this is working as I see the web codeproject web interface when accessing the alternate dns entry I made pointing to Nginx proxy manager but in the web page, under server url I also see the alternate dns entry resulting in not showing the logs. AI Server v2. I had it working initially and couldn't figure out why Licenseplate reader module wasn't seeing cudnn even though it was installed. AI Dashboard go to the module settings an Enable GPU. This worked for me for a clean install: after install, make sure the server is not running. exe and python. If you look towards the bottom of the UI you should see all of CodeProject AI's modules and their status. AI Server running on a different system than Blue Iris and accessing its GPU. In this setup, a user has CodeProject. py. AI on macOS CodeProject. AI setup I've settled with for now. AI in Docker CodeProject. It costs me some extra electric power consumption but it works. AI and BI. AI Server in Docker - CodeProject. 5 System RAM: 15 GiB Target: Windows BuildConfig: Release Execution Env: Native Runtime Env: Production . 8 use all the default settings. In this example, CodeProject. AI Server, open a command terminal. I can't even choose to enable or disable the GPU fpr this module. AI Server is a locally installed, self-hosted, fast, free and Open Source Artificial Intelligence server for any platform, any language. 2) The AI processes much faster. How do I train CodeProject. 0 used Direct ML whatever that is. AI Oct 25, 2022 · There is an ongoing thread about CodeProject. I finally got access to a Coral Edge TPU and also saw CodeProject. AI Server, right-click on it, then select Stop. I've used the commands above, spun up a new container and I see YOLOv5 6. AI no gpu only net Thread starter ChrisX; Start date Oct 22, 2022; Tags gpu decoding Blue Iris 5 Discount! $62. AI is in a Docker container on a Linux system. Not BI specific but I ran the AI (code project ai) on a 3060ti and was getting 35ms inference from BI and others. Feb 12, 2024 · This is middle man between frigate and codeproject. actran Getting comfortable. If you are using a module that offers smaller models (eg Object Detector (YOLO)) then try selecting a smaller model size via the dashboard While there is a newer version of CodeProject. If you look at the code project server webpage, can you see GPU at the detection? If I look at my object detection I can see this: Object Detection (YOLOv5 6. 8 versions, but it does not help, still getting: Dec 26, 2023 · I'm just wondering if I can start out right now using only the integrated GPU (Intel UHD Graphics 770) for Code Project AI and then add the Nvidia GPU a few months later without issues. AI Explorer link at the top of the server dashboard. AI & Frigate containers with Tesla P4 8GB, Coral USB Jul 22, 2023 · When I hit the "open AI dashboard" from the BI AI main menu, it pops open a browser on the BI machine and just sits there, but never loads the 192. 4] [Constant rebooting of server. AI If you have a Nvidia GPU and want to use it with CodeProject. The CPU spiking is each time motion is seen and the alert is sent to AI. 99. 2 and earlier. May 8, 2016 I would first experiment using the Codeproject AI CodeProject - CodeProject. AI server log indicates why GPU enable did not work. In the BI VM, I made sure that BI Code Project is pointing to my desktop with my GTX 2060 where CodeProject AI is installed. NET] Module packages [e. Other non hosted applications that I use are video ai upscalers for use with jellyfin. Do I need to install something related to CUDA to get codeproject to start using the gpu instead of pegging the cpu at 100%? Use the provided custom models, or a. AI-ObjectDetectionYOLOv8 (this repo) If you have NOT run dev setup on the server Run the server dev setup scripts by opening a terminal in CodeProject. AI Server: AI the easy way. I have been running my Blue Iris and AI (via CodeProject. I tried uninstalling and Nov 16, 2024 · AI is set to use GPU Cuda driver using Net 6. 2 successfully at one point. AI? Any time I update it it will stop using GPU even though I have it configured to use GPU and I have to spend about two hours reinstalling modules, the software, and drivers to get it working again on GPU. sh . Aug 9, 2023 · I have added "License Plate Reader" to CodeProject. Deep-Learning AI on Low-Power Microcontrollers: MNIST Handwriting Recognition Using TensorFlow Lite Micro on Arm Cortex-M Devices Use the provided custom models, or a. The YOLOv5. read(), inference_time) This is the only code we've added. AI Server and Blue Iris aren't enough, so here is an FAQ that hopefully contains any questions you might have about using CodeProject. 2/3 having the yolov5l. Install all the CodeProject. The 12gb 3060 is actually one of the best candidates for ai related work due to its largish vram at a decent price. AI Server beforehand if you wish to use the same port 32168. Jun 4, 2021 · The issue I'm running into is CP. 4-135mm Varifocal PTZ, Dahua IPC-TPC124X-S2 Thermal 3. net version, which is the one I have set up. Ran the cudnn script, codeproject ai started on GPU instantly and have been running since. 4] Installer Python3. AI Server. 4 and ran into numerous problems, including the Python issue that prevented 2. you may have to restart your Blue Iris machine to ensure it loads correctly. Thought I would try YOLOv8. Training Dockerfile. AI Jan 26, 2023 · Make sure to get at least 4GB RAM on Nvidia card to support the models you may decide to use because IMHO 2GB RAM GPU is just not enough. Jan 17, 2020 · it was working prior to this last code project update, like this Morning was all good. AI, yes CodeProject was way slower for me but I don't know why, object type recognition was also way better with CodeProject. Nov 25, 2022 · Object Detection is a common application of Artificial Intelligence. AI team add a parameter that disables older GPU due to users having issue with the older GPUs. times are in 100-200 ms. We would like to show you a description here but the site won’t allow us. thanks, best regards Filippo These instructions are for Windows 10 x64 Ive spent so much time banging my head against the wall to get codeproject AI to work using GPU with the GT 1030 video card so I figured I would make a post for future people to know exactly what I did to get it to work. 2 dual TPU. AI. AI website for list of supported Nvidia cards. Make times are set to about 0. But it also seemed from the descriptions that I need one of the other ones to use custom models. Jan 26, 2023 · I am running CodeProject. Nov 2, 2015 · Yup can confirm it works. AI Server Mesh Development Guide Development Guide Setting up the Dev Environment Jul 21, 2024 · You signed in with another tab or window. Especially after about 12 cameras, the CPU goes up by using a GPU and hardware acceleration. AI Server detector for Frigate allows you to integrate Deepstack and CodeProject. That is how i set things up - frigate + doubletake + codeproject. Specifically: As a separate use case, I run my BI in a Windows VM in ESXI and then CodeProject. May 5, 2025 · 5. In CodeProject. And it averages 115ms or so, which is about the same as YOLO on a decent CPU. We'll be using CodeProject. NET to be faster. . AI-Modules - CodeProject. What It Is This is the main article about CodeProject. Jan 24, 2024 · How to install or upgrade CodeProject. Totally useable and very accurate. Based on the following post it sounded like not only did I need a GPU but there was a minimum GPU that was needed for ALPR. 8 CUDA not available Apr 5, 2017 · Blue Iris 5 running CodeProject. I counter for . The License Plate Reader module does not support iGPU so this module will still use your CPU only Dec 27, 2023 · Stop using all other CodeProject. I also tried this install CUDnn Script. Jan 30, 2023 · However, with substreams being introduced, the CPU% needed to offload video to a GPU is more than the CPU% savings seen by offloading to a GPU. AI ALPR, alpr for custom model is recommended. Huge pain in the ass, so don't update unless you need to. If setting a value via the command line, as an environment variable, or when launching a Docker container, the setting is accessed via its fully qualified name. AI Server as a focus for articles and exploration to make it fun and painless to learn AI programming. 5mm, Dahua IPC-T5442TM-AS (2) 6mm Fixed, Dahua IPC-T5442T-ZE 2. AI Server on the Apr 22, 2024 · Edit (5/11/2024): Here's the Coral/CP. No off-device or out of network data transfer, no messing arou Nov 18, 2016 · Codeproject. 8 and cuDNN for CUDA 11. FilePath and Runtime are the most important fields here. Here is a more direct answer Blue Iris and CodeProject. 3. 0 Jun 13, 2022 · In says GPU (DirectML) now, but don't see any GPU usage and response times are the same as using CPU. 2 is using GPU. 7, . Suggestions on how to figure out why its not working. When installing CUDA 11. AI on Linux CodeProject. AI SDK. Running up-to-date versions of CP. This is my explanation, doesnt take it literally. 9. CodeProject. If in docker, open a Docker terminal and launch bash: Aug 2, 2019 · Back to the GPU. 0 You have an NVIDIA card but GPU/CUDA utilization isn't being reported in the CodeProject. If you didn't stop CodeProject. Inference times are under 60ms. AI also now supports the Coral Edge TPUs. Install CPAI, after it is installed, go to Start > All Apps > Code Project. 7-12mm Varifocal Test CAM, Dahua HFW5241E-Z12E 5-60mm Varifocal (LPR) Feb 5, 2017 · How can i get CPAI to use GPU instead of CPU, do i need to replace my custom models with ones that support GPU? I do not have a Nvidia GPU and would like to make use of my Intel iGPU. I have an i7 CPU with built in GPU but no standalone GPU. 7-12mm Varifocal Test CAM, Dahua HFW5241E-Z12E 5-60mm Varifocal (LPR) Jul 15, 2017 · Here’s a step-by-step guide to setting up Automatic License Plate Recognition (ALPR) using CodeProject. Just the Nvidia Geforce Experience Drivers. add your own models to the standard custom model folder (C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\custom-models or C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionNet\custom-models) if using a Windows install, or b. This class works by splitting your work into N parts. A Guide to using and developing with CodeProject. May 8, 2016 · You can read the other CodeProject. Coral M. Oct 21, 2022 · I just installed a GTX 1060 for use by AP. As mentioned also, I made a huge performance step by running deepstack on a docker on my proxmox host instead of running it in a windows vm. I see quite a few threads here with the AI modules failing to recognize certain GPUs, necessitating a re-install. @Tinman Do you see any difference in using CPU or the Intel GPU ? What kind of response times do you get ? Dec 8, 2024 · Area of Concern Server Behaviour of one or more Modules [provide name(s), e. g. I saw someone said to change AI real time images to 999, which I tried and my ram spiked to 16 gb CodeProject. 11K subscribers in the BlueIris community. There's also an option for a single TPU or other form factors. AI > Open Server Dashboard. AI, running local on the machine using the GPU. S. Mar 25, 2024 · Server version: 2. Running a GTX 2060 So I just pointed BI (which I run in a VM) to Codeproject AI to my desktop with the 2060 in it and now I'm getting ~50ms inference times which is excellent! Apr 7, 2023 · Nevertheless, there are times when the Blue Iris User Manual, our articles on using CodeProject. 19045) CPUs: 1 CPU x 4 cores. Just looking for some advice as to where to go from here. 6 and CUDA. On CodeProject. AI-Server/src/ then, for Windows, run setup. Then uncheck GPU in BI settings, hit ok, go back into settings, re-select GPU, and hit OK again. NET? You can test which one is faster for you using CodeProject. Although I don’t have a baseline screenshot of CodeProject using Nvidia, I did notice it was using about 300-350 MB of GPU RAM If you have a Nvidia GPU and want to use it with CodeProject. AI on a Jetson CodeProject. PyTorch) Something else Describe the bug A clear and concise description of what the bug is. Both modules work the same, with the difference that one is a Python implementation that supports CUDA GPUs, and the other is a . AI Aug 27, 2023 · Hello, this is my first time using CodeProject. NET framework Nov 18, 2022 · The answer: CodeProject. Your GPU View attachment 176769 Required GPU View attachment Running CodeProject. That is using the tiny model, which code project also gets roughly that using that model. Everything else can be omitted if you wish. Reload to refresh your session. A. 1, cuDNN: System RAM: 8 GiB Platform: Linux BuildConfig: Release Execution Env: Native (SSH) Runtime Env CodeProject. AI Server in Docker Container Doesn't Respond to Requests. How to get 30x performance increase for queries by using your Graphics Processing Unit (GPU) instead of LINQ and PLINQ. 5. I see in a response below, you are using GPU. Get a gpu with a metric ton of cuda and more then 4gb vram prob 8 with that many Nov 29, 2024 · GPU Not Detected by ALPR Module in CodeProject. My GPU is only 2 years old but yes its a 3090 its 3/4 of inch longer than the 970 I can't win. 2 ,YOLOv5 . specify a directory that will contain the models Feb 26, 2024 · Blue Iris Box: HP S01 with i3-10100, 16GB RAM, Intel 2TB P4500 for OS, DB and New Clips | unRaid Box: 36 TB for archive and running CodeProject. If I remember correctly the CP. I did not mess with anything other than tell it what port to use. The CP. Jan 25, 2023 · Nothing in CP. AI Server, but recently someone asked for a thread trimmed down to the basics: what it is, how to install, how to use, and latest changes. Scroll down and look for CodeProject. Advanced Docker launch (settings saved outside of the container) We will need to map two folders from the Docker image to the host file system in order to allow settings to be persisted outside the container, and to allow modules to be downloaded and installed. This assumes you have a working Blue Iris installation and a camera positioned to capture I"m using Nginx to push a self signed cert to most of my internal network services and I' trying to do the same for codeproject web ui. Did you change something, such as updating CodeProject. 9,2. 13 CUDA: 12. I don’t have near as many cams but I run AI currently on a Nvidia T600. The rembg module has been copied and pasted as-is, and we're creating a child class of the ModuleRunner class in the CodeProject. Windows 11. Blue Iris 5 running CodeProject. AI, and I'm using the latest gpu version. AI added a minimum compute capability because some of the older GPUs had issues with using CUDA so if your GPU is not in the below list that is why it is not working. To explore CodeProject. NET with DirectML if I remember correctly. 8 CUDA not available CP is having issues with Coral at the moment. Apr 13, 2022 · If using GPU not CPU it should be using YOLOV5 6. I've just gotten codeproject going with my relatively weakish 6700k system and have BI set to default for the gpu option and i think codeproject has gpu checked. Motion detection has been working great all along. You switched accounts on another tab or window. 8 CUDA not available For the nvidia-smi there should be only one proces for codeproject gpu. You signed out in another tab or window. net version of yolo if you don't have a supported GPU. AI running in a Docker container. x and then uninstall 3 - Open File Explorer and delete both the C:\Program Files\CodeProject and C:\ProgramData\CodeProject directories. 8 to 2. 6Gb of 380Gb available on BOOTCAMP General CodeProject. 5) with Blue Iris. YOLOv5-6. I tried to upgrade CPAI from 2. AI & Frigate containers with Tesla P4 8GB, Coral USB Apr 5, 2017 · This will allow you to toggle the "use GPU". Expe Nov 4, 2022 · CodeProject. CP. See Install script docs for more information on these. AI Server Mesh Development Guide Development Guide Setting up the Dev Environment Nov 2, 2015 · Blue Iris 5 running CodeProject. 04) CPUs: Intel(R) Core(TM) i3-9100F CPU @ 3. Wait for it to fully install all the modules and none of them say installing. AI on a Different System from Blue Iris. NET Module packages [e. This post will be updated. AI Server will include an option to install OCR using PaddleOCR. With every update of code project, it seems to default to both running and possibly using both. Dec 19, 2024 · Can anybody advise which NVIDIA GPU Computing Toolkit goes together with the Module 'License Plate Reader' 3. Try telling CP. If you read @MikeLud1 more recent config advice Blue Iris and CodeProject. Looking at your screenshot I don't think you are using the TPU either but I could be wrong. AI in another VM as a docker container. AI could not use the GPU, even though PaddlePaddle's standalone test script successfully detected and utilized the GPU. Jan 24, 2024 · Is this the appropiate tag for using a Nvidia GPU? Which version of Yolo should I be using with this specific GPU? Is ALPR able to use this GPU? When ever I try to enable GPU for the LPR it keeps going back to CPU. Jan 25, 2023 · I have been looking into why the LPR module is not using your GPU. Feb 11, 2024 · Area of Concern Server Behaviour of one or more Modules License Plate Reader Installer Runtime [e. Is there a config step that I missed? Your System: CodeProject Dec 7, 2022 · My current problem is, that CodeProject AI does not want to use the GPU for detection. If you find out some useful insights, I would be glad to know. I am getting satisfactory performance (<100ms) out of my 1650 for the models that I am using. Sep 13, 2022 · Fast, free, self-hosted Artificial Intelligence Server for any platform, any language CodeProject. Blue Iris Cloud - Cloud Storage Apr 29, 2021 · As discussed previously, we can skip the --build-arg USERID argument if it’s not needed (especially on Windows). AI SDK module module_runner. 2 instead and it should change the default to that. 87:32168 codeproject ai instance. The install automatically provided ipcam-animal, ipcam-combined, ipcam-dark, ipcam-general, and license-plate. AI Server dashboard when running under Docker How to downgrade CUDA to 11. That should make it start using GPU and the correct module. P. AI Server Dashboard. exe on the other hand, consume >90% of CPU power any time there is motion on any one of my cameras. It’s a brilliant system but using the 'standard’ YOLOv5 models means you are limited to the 80 classes available in the default models. AI to start 6. (My custom models were trained with over 70,000 images) The Deepstack / CodeProject. ai to do a facial recognition. AI Server pre-requisites on the Linux system. 0. 2 (up to: 12. 1. There is currently a spider in front of one of the two cameras and each alert spikes cpu from 7% to around 50% but again to clarify it doesnt trigger as AI finds nothing (which Aug 27, 2024 · My CPU is an Intel i7-9700 and my GPU is an Nvidia 1650 which supports CUDA and I now have the Yolo5 6. and we return a tuple containing the modified image and the inference time python return (bio. The GIGABYTE GeForce RTX 3050 OC you mentioned should work well with your HP EliteDesk 800 G3, assuming your PSU supports it and you have sufficient space. Jan 25, 2023 · I'm surprised CPAI does not have a clean-up tool to completely remove not only the software, but also the Registry entries created. 161. The gpu is working, if I set encode to use nvenc I see activity on task manager, but yolo 6. 7-12mm Varifocal Test CAM, Dahua HFW5241E-Z12E 5-60mm Varifocal (LPR) CodeProject. 8). 07, CUDA: 12. Start typing "Services" and launch the Services app. It’s slower but sub 1/2 second. 8 and then CodeProject ai v2. If you're running CodeProject. ai logs: View attachment 169674 I have configured BlueIris main setup AI tab to use AI Server / Code Project: View attachment 169672 I have configured my LPR camera AI for code project (I think) View May 19, 2023 · Two big improvements when using the Nvidia GPU and the Docker setup: 1) the modules in CodeProject stopped crashing. going to see if its work unstacking the fans on the radiator. Postscript: GPU support for PaddlePaddle in Ubuntu under WSL It appears that python and the ObjectDetectionNet versions are not set correctly. Jan 25, 2023 · Running CodeProject. AI Click on the CodeProject. If you have additional questions, feel free to ask them in the comments below and this You have an NVIDIA card but GPU/CUDA utilization isn't being reported in the CodeProject. You will want to use the one with the tag 12_2 May 13, 2025 · CodeProject. I thought I needed a GPU to use the ALPR in CPAI. 168. 4 - Reinstall CPAI Aug 15, 2019 · From what I have read the mesh option is a benefit for those that are not using an external GPU and helps with load balancing. 10-15 seconds for half a page of text, but turn on GPU and it's 200ms or so. Windows Installer Can't find custom models. 2 rather than . 4-BETA, 2. I've tried the latest 12. The dashboard reports that only the portrait filter is using the GPU. I have the Cuda Driver installed. AI Explorer, I find . Python3. AI loads, the web interface can be accessed, it can ping the Blue Iris server, but CodeProject. Also, there was a bug where the TPU is not using the correct models (it says it is but isn't). AI: Start here CodeProject. AI Server Hardware. You need to stop CodeProject. Nov 1, 2018 · Blue Iris 5 running CodeProject. bat , or for Linux/macOS run bash setup. AI Server and Blue Iris. If you want to use LPR it needs the CPU or a GPU. ai is murdering my resources, which is why I'm attempting to move it off the windows BlueIris box onto a VM and exclusively use hardware GPU for AI. net never goes up, but I see log Technically it shouldn’t matter I guess if nothings using 5000. 2) Started GPU (CUDA) There I can see GPU is enabled and working. Aug 4, 2022 · 2 - Select "CodeProject. train: FROM mld05_gpu_predict:latest ENTRYPOINT ["python A Guide to using and developing with CodeProject. ai View attachment 169673 It appears as though it is working looking at the CodeProject. Check with CodeProject. AI-Server-win-x64-2. remove everything under c:\programdata\codeproject\ai\ , also if you have anything under C:\Program Files\CodeProject\AI\downloads I only run the YOLO v6. ObjectDetectionYolo] Installer Runtime [e. Jan 26, 2023 · What GPU do you have? Chris for CodeProject. AI programming is something every single developer should be aware of We wanted a fun project we could use to help teach developers and get them involved in AI. Should I still switch it to . NET module, I recycled an Nvidia GTX 1650 GPU from another PC and I currently use that GPU with the Yolo 5. Every part is pushed onto the GPU or CPU whenever possible. My machine is a i7-6700. USB version has been documented to be unstable. AI Server Mesh Development Guide Development Guide Setting up the Dev Environment The modulesettings files Install scripts Python requirements files Using Triggers Adding New Modules Adding New Modules So you want to add new module to CodeProject. Here it is. TIA! Install CPAI, after it is installed, go to Start > All Apps > Code Project. Downside till now is that i never managed to make it work as i wanted. AI is now configured! Please keep in mind that you’ll have to do this for each camera (if you’re not syncing the settings) and the options may differ based on the location of the camera or many other factors. AI you need to install CUDA 11. Operating System: Windows (Microsoft Windows 10. AI is set to be start/stopped by BI, using the custom models that come with CP. Here there are some screenshot thank you so much The current release does not support CUDA with your setup May 2, 2025 · In this article we look at how developers can take advantage of the cross-architecture of oneAPI to make use of GPU resources in their applications. Queue specifies where the server will place requests from clients, and the name of the queue that the module will be looking in for requests to process. AI 1. I was wondering if there are any performance gains with using the Coral Edge TPU for Aug 27, 2024 · My CPU is an Intel i7-9700 and my GPU is an Nvidia 1650 which supports CUDA and I now have the Yolo5 6. 8. x before installing CodeProject. AI, remember to read this before starting: FAQ: Blue Iris and CodeProject. Sample images can be found in the TestData folder under the C:\Program Files\CodeProject\AI folder. 2), Compute: 6. Our project is for the first week of December. I am using code project ai on my GPU and it seems to be working great. 7. All working as it should for Object Detection using CUDA and getting good results. The model type is dependent on Can you share your codeproject system info? Here is what mine looks like using a 1650. The next release of CodeProject. Try to disable "use GPU", wait for BI to restart the Services/modules, and then enable "use GPU". Did anyone get it to work? Oddly the system tab shows a cuda version but not a compute version, and will never switch to gpu mode. If you are using a GPU, disable GPU for those modules that don't necessarily need the power of the GPU. Finally, in the Record tab, change the Video to Continuous + Triggers or Continuous + Alerts and select OK. Feb 13, 2025 · Hello all! I've been having some issues with code project. View attachment 199785 Here is the LPR Info where it shows GPU libraries are not installed: Feb 15, 2024 · Here we're using the getFromServer method from the CodeProject. 8 logical processors (x64) GPU: NVIDIA GeForce GTX 1650 (4 GiB) (NVidia) Driver: 537. NET implementation that supports embedded Intel GPUs. My CPU % went down by not offloading to a GPU. Apr 24, 2023 · Blue Iris 5 running CodeProject. I only use CPU for direct disk recording + substeam so I don't even use quicksync for anything. It seems that the correct module is the Yolo. Might be worth taking that off AI and see if it helps. Card is a Quadro P2000 and ran Yolo 5. 4 logical processors (x64) GPU (Primary): NVIDIA GeForce GTX 1070 (8 GiB) (NVIDIA) Driver: 535. AI Installer ===== 47. If you're new to BlueIris and CP. The server will, of course, need to be running for this test application to function. 88 was close enough to solve not using the GPU issue but no luck I have access to several version of CPAI (2. Nov 7, 2024 · TPU is only for Object Detection. 5 -0. 8-Beta YOLOv5. Nov 21, 2022 · It's not very fast on a CPU. AI Server 2. CPU is rather high hence trying to offload. 2 because NET 5. NET) module should be using your iGPU. AI Server is installed it will comes with two different object detection modules. 2 module with GPU enabled, no face or plate recognition. ai It is basically gui to train codeproject. If you already had the correct CUDA drivers installed for use with DeepStack then those should work fine with CodeProject. This should pull up a Web-based UI that shows that CPAI is running. 4 from even running. 0 Home CodeProject. Logs say its enabled, but CPU usage changed by none and GPU is minimally used. Click on the 3 dots at the end of the module type and then select enable GPU. For strict self hosting, ollama / stable diffusion are good options. Usually it says "GPU (TPU)" and not "CPU (TF-Lite)". AI Server in Docker or natively in Ubuntu and want to force the installation of libedgetpu1-max, first stop the Coral module from CodeProject. You have an NVIDIA card but GPU/CUDA utilization isn't being reported in the CodeProject. server. We want your 11 votes, 11 comments. 7-12mm Varifocal Test CAM, Dahua HFW5241E-Z12E 5-60mm Varifocal (LPR) After banging my head against the wall for ages, i just uninstalled all Cuda stuff, installed version 11. x. AI Server, we have added a module that uses the YOLOv5 architecture for object detection. I have my BI VM using CodeProject AI but CodeProject is not actually running in that VM. pt file in C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\custom-models causes the BI "Use custom models:" box to just be blank. 2. Feb 17, 2024 · Area of Concern [Server version: 2. AI Analysis Module ===== CodeProject. ffbz ozfhfr xlwp njn pthns lzpc reiksb bemme iqrwu fgyh