Codeproject ai not using gpu. times are in 100-200 ms.

Codeproject ai not using gpu AI Server in order to detect A Guide to using and developing with CodeProject. Everything else can be omitted if you wish. AI Server running on a different system than Blue Iris and accessing its GPU. json, go to Visual Studio Code. 2). I've set it up on Windows Server 2022 and it's working OK. The License Plate Reader module does not support iGPU so this module will still use your CPU only View attachment 186730 Im on beta 2. A. The rembg module has been copied and pasted as-is, and we're creating a child class of the ModuleRunner class in the CodeProject. The Worker will use the CodeProject. AI, or even not need the card and run the AI on CPU. While there is a newer version of CodeProject. (My custom models were trained with over 70,000 images) The user wants to know why CodeProject. Stability AI with Stable Diffusion v2–1 Model. AI Server and detected a person (me). 04 which can cause issues due to its age. Scroll down and look for CodeProject. If you look towards the bottom of the UI you should see all of CodeProject AI's modules and their status. 8 use all the default settings. So I guess just stick with that. AI Server and running an AMD GPU, try enabling Object Detection (YOLOv5. Codeproject AI is running in a docker on a Qemu64 VM running Debian 11. exe. I've used the commands above, spun up a new container and I see YOLOv5 6. 8-Beta YOLOv5. LPR Suggestions on how to figure out why its not working. AgentDVR is running on a VM running Windows 10. Open a terminal and head to that folder, then run the main CodeProject. I followed the instructions to install all the CUDA stuff. AI in their apps, read Object Detection with an IP Camera using Python and CodeProject. It seems silly that Deepstack has been supporting a Jetson two years ago it’s really unclear why codeproject AI seems to be unable to do so. Installing CodeProject. Reply reply More replies. The next release of CodeProject. 5mm, Dahua IPC-T5442TM-AS (2) 6mm Fixed, I am still having issues with CPAI seeing and using my GPU. I just looked again and now I see different status for YOLOv5 . As of CodeProject. Downloaded the Docker image . This project can dynamically execute simple programs written in a C dialect (OpenCL C) on your GPU, CodeProject. AI in Docker CodeProject. Everything / HPC / GPU. The next step is to create the Background Worker. AI Server on the CodeProject site. My current problem is, that CodeProject AI does not want to use the GPU for detection. I recently had to run CodeProject. AI The CodeProject. AI Analysis Module ===== CodeProject. CUDA, CUDNN) is installed correctly and its version is matched with paddlepaddle you installed. If you're new to BlueIris and CP. AI on a mini PC using the CPU for a short period of time (main BI rig hardware issue) and I found it less stable than on a Nvidia GPU, so if you CodeProject. AI and the AI performance seems kind of low: it takes 1000-3000ms to analyze one 2560x1440 frame. Each module tells you if it's running and if it's running on the CPU or GPU. I saw someone said to change AI real time images to 999, which I tried and my ram spiked to 16 gb. 13:06:25:ALPR_adapter. AI TPU, all within an Arm64 Docker image Does anyone what GPU or minimum intel gen GPU that is supported with this or where we can find a list of supported GPU if we're using this AI Example using CodeProject. AI Server Mesh. Recently set up Blue Iris with CodeProject. Can you share your codeproject system info? Here is what mine looks like using a 1650. Make times are set to about 0. First, you need to query the session to get its inputs. Totally useable and very accurate. That has all the code we've talked about already in place. AI Server Hardware. bat and search for ":SetupPython", two lines below it change "set pythonVersion=%1" to "set pythonVersion=3. If you are not happy with the performance then return it. AI Server install script I'm using Coral TPU plugged into the USB port to support CodeProject. AI Server code under the src/modules folder. AI SDK module module_runner. In this article, we setup Agent DVR, got it running with CodeProject. 2 ,YOLOv5 . For the nvidia-smi there should be only one proces for codeproject gpu. AI and Blue Iris smoother, and easier. USB version has been documented to be unstable. 7-12mm Varifocal Test CAM, Dahua HFW5241E-Z12E 5-60mm Varifocal (LPR) 25 votes, 52 comments. AI Server for commands, process any commands it finds, and return the result to the CodeProject. NET? You can test which one is faster for you using CodeProject. AI: Start here ALPR now using GPU in Windows; Corrections to Linux/macOS installers; Release 2. AI) server all off my CPU as I do not have a dedicated GPU for any of the object detection. 10-15 seconds for half a page of text, but turn on GPU and it's 200ms or so. We will use ITEX running in a Docker container on Windows 11 A Guide to using and developing with CodeProject. AI also now supports the Coral Edge TPUs. AI you need to install CUDA 11. 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. Double click the installer. AI setup for license plate reading). You switched accounts on another tab or window. 7, . 04, as well as PyTorch, Tensorflow, TensorRT and OpenCV pre-installed. Rob from the hookup just released a video about this (blue iris and CodeProject. One of the core issues we face when handling AI related tasks is computing power. json. 0 Release Notes CodeProject. AI-Server-win-x64-2. AI Dashboard go to the module settings an Enable GPU. AI Server Mesh Development Guide Development Guide Setting up the Dev Environment I had to specify the device when creating the dataloaders. times are in 100-200 ms. AI Server dashboard when running under Docker Over the past few weeks, we've noticed a lot of questions about using CodeProject. Here it is. AI on macOS CodeProject. Create the Background Worker. Install all the CodeProject. Generally the bigger the better, but you can get away with a lower calibre machine if you aren't stressing it too much. AI . NET) and disable the Object Detection (YOLOv5. You should The CodeProject. Copy your module folder into the CodeProject. FilePath and Runtime are the most important fields here. The hardware used for this article is a 13th Gen Intel® Core™ i9 PC with an Intel Arc A770 16 GB discrete GPU card installed. What we now see in the Mesh summary tab LPR from CodeProject AI not using GPU - See says it wants some window's 10 download (I'm on windows 11) Share Sort by: Best. Operating System: Windows (Microsoft Windows 10. You have an NVidia card but GPU/CUDA utilization isn't being reported in the CodeProject. Training Dockerfile. I have been running my Blue Iris and AI (via CodeProject. py. AI Server definitely works. Nov 18, 2016 130 4. A new, fast object detection module with support for the Coral. Note Area of Concern [Server version: 2. The function below shows how to use the ONNX session that was created when we loaded our ONNX model. This article provides a step-by-step guide on setting up facial recognition using Agent DVR and CodeProject. Any solution?. 1. This will poll the CodeProject. What It Is This is the main article about CodeProject. Find solutions for object detection, inference, and development environment errors. 2 dual TPU. I’m getting consistent times around 250-350ms running on just CPU (I don’t have a GPU in my server) and Install CPAI, after it is installed, go to Start > All Apps > Code Project. All of my configurations are pretty standard trigger times . 2) There is an ongoing thread about CodeProject. AI server log indicates why GPU enable did not work. MikeLud1. The settings in each source will overwrite existing settings, so sources are loaded in order of most general to most specific to allow you to fin Learn how to fix issues with custom models, GPU, port, memory, and WMI when using CodeProject. Wait for it to fully install all the modules and none of them say installing. I am using code project ai on my GPU and it seems to be working great. AI, remember to read this before starting: FAQ: Blue Iris and 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. 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. Wait and see if it it still crashes or anything shows up on the Server Dashboard log. AI is in a Docker container on a Linux system. 9, we've added the ability to adjust the ModuleInstallTimeout value in appsettings. Oct 22, 2022 #1 I have a problem. New GPU and want to use it with CodeProject. These settings come frommultiple sources: the server itself, settings files, environment variables and the command line. AI Server, right-click on it, then select Stop. AI Server is installed it will comes with two different object detection modules. 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 The default is 50% of available RAM and 8GB isn't (currently) # enough for CodeProject AI Server GPU memory = 12GB # Sets amount of swap storage space to 8GB, default is 25% of available RAM swap = 8GB. 7-12mm Varifocal Test CAM, Dahua HFW5241E-Z12E 5-60mm Varifocal (LPR) Create the Background Worker. Blue Iris Cloud - Cloud Storage / Backup . Here is an example of how to get CodeProject. AI Server and Blue Since Microcenter has a 30 day return policy you can buy it and try it out to see how it performers. dls = DataLoaders. truglo Pulling my weight. Blue Iris 5 running CodeProject. Our project is for the first week of December. 7-12mm Varifocal Test CAM, Dahua HFW5241E-Z12E 5-60mm Varifocal (LPR) Yes Docker Desktop for windows. There are a few things worth noting here. AI in another VM as a docker container. Nevertheless, there are times when the Blue Iris User Manual, our articles on using CodeProject. Mar 4, 2023 #442 @MikeLud1 Update status: Cancel red alert. All seems to be working fine besides LPR. 11 and tried it with the last 3 version on blue iris. If you didn't stop CodeProject. Download source - 547. PyTorch) Something else Describe the bug For th I have been looking into why the LPR module is not using your GPU. NET) module should be using your iGPU. An entirely new Windows installer offering more installation options and a smoother upgrade This makes it a challenge to work with, but the onboard GPU does make the effort worthwhile. Open menu Open navigation Go to Reddit Home. 9" then run the server again, it should download python correctly. It's not 100%, which I'm sure could be modified in the settings, but person detection in Agent DVR using CodeProject. AI Server pre-requisites on the Linux system. 6. In the global AI tab on the camera settings, there is a field "To cancel. 8. This is a timeout. With . AI and Blue Iris I have been running my Blue Iris and AI (via CodeProject. It was fine-tuned from a Stable Diffusion v2 Windows Installer Can't find custom models. Jan 26, 2023 #64 \Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\custom-models causes the BI "Use custom models:" box to just be blank. The latter only supports newer NVidia GPUs, while the former uses DirectX on Windows or WSL to access the GPU so it will support your AMD A Guide to using and developing with CodeProject. bat, or for Linux/macOS run bash setup. NET Module packages [e. py: has exited 17:36:53:ALPR went quietly 17:36:53: 17:36:53:Running module using: /usr/bin/codeproject. We'll see. 2 Compute: 7. 2. I finally got access to a Coral Edge TPU and also saw CodeProject. AI-Server/src/ then, for Windows, run setup. If you have ever used a stable diffusion model, you might be familiar with giving a text prompt to generate an image. As discussed previously, we can skip the --build-arg USERID argument if it’s not needed (especially on Windows). py: 2. @Tinman Do you see any difference in using CPU or the Intel GPU ? What kind of response times do you get ? Blue Iris 5 running CodeProject. AI Server beforehand if you wish to use the same port 32168. When I start the Object Detection (Coral), logs show the following messages: 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 The user wants to know why CodeProject. 0 Home CodeProject. AI team have released a Coral TPU module so it can be used on devices other than the Raspberry Pi. Configure third 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. 5 System RAM: 15 GiB Target: Windows BuildConfig: Release Execution Env: For the Licence Plate Reader shutting down, and you're using the GPU for CodeProject. 2 If you are using a GPU, disable GPU for those modules that don't necessarily need the power of the GPU. " Using "Nothing found:0" in the "To cancel" box eliminates (green) "Nothing found" from the Confirmed alerts list. AI-Modules, with CodeProject. It's stuck on 2. 11 beta from here. For ObjectDetectionNet . NET, YOLOv8] [CodeProject. 0. Technically it shouldn’t matter I guess if nothings using 5000. An entirely new Windows installer offering more installation options and a smoother upgrade Sadly codeproject ai it’s not very environmentally or budget friendly. May 8, 2016 829 774. Top. NET machine 125ms average with a Ryzen 5600X stock clocks, PBO enabled, 32GB of ram (This is kind of an apples to oranges A Guide to using and developing with CodeProject. AI Server, open a command terminal. I have two VMs running on Proxmox. r/BlueIris A chip A Blue Iris 5 running CodeProject. You need to stop CodeProject. It still doesn't run CUDA though, I enable GPU, it stops, then restarts and it's just on cpu again. AI Server on Windows. AI? I think they were to aggressive with disabling older GPUs. My k620 gpu is doing 60ms on medium with the IP-cam dark Stop using all other CodeProject. One for Codeproject AI and the other for Agent DVR. NET SDK to communicate with the CodeProject. AI on Windows CodeProject. AI: Start here CodeProject. For the moment I'm okay splitting, with Yolo using the GPU and LPR using CPU given Search. This should pull up a Web-based UI that shows that CPAI is running. Skip to main content. net server using gpu 18-20ms 6. AI Server Mesh Development Guide Development Guide Setting up the Dev Environment It's not very fast on a CPU. In our previous article, Detecting raccoons using CodeProject. I was wondering if there are any performance gains with using the Coral Edge TPU for object detection. In order to edit appsettings. \Program Files\CodeProject\AI CPAI_PORT = 32168 Reply reply madsci1016 • Nevermind is has the dreaded code 43 on my gpu itself. Reload to refresh your session. This will setup the server, and will also setup this module as long as this module sits under a folder named CodeProject. NET] Module packages [e. AI Server v2. ai Codeproject. Running that Docker image, run the CPAI dashboard and explorer If you have NOT run dev setup on the server Run the server dev setup scripts by opening a terminal in CodeProject. To install CodeProject. Postscript: GPU support for PaddlePaddle in Ubuntu under WSL Ensure you have the latest CodeProject. Both modules work the same, with the difference that one is a Python implementation that supports CUDA GPUs, and the other is a . AI Server and Blue Iris. I finally broke down and got a GPU to do my AI image processing and it made a huge difference! After GPU Before GPU. AI Server, and setup Agent DVR to trigger an alert when a person was detected. But detection is abysmal using that model. Average long term on my . 4] [Constant rebooting of server. AI setup I've settled with for now. Artificial Intelligence In this article we’re going to build a fully functional MNIST handwriting recognition app using TensorFlow Lite to run our AI inference on a low-power A Guide to using and developing with CodeProject. 6Gb of 380Gb available on BOOTCAMP General CodeProject. Search titles only Then in the clone camera's AI settings add the Override server IP and port for the CodeProject. Improved Raspberry Pi support. Article Everything else Edit (5/11/2024): Here's the Coral/CP. 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. 5mm, Dahua IPC-T5442TM-AS (2) 6mm Fixed, Dahua IPC-T5442T-ZE 2. If I were you, I would first experiment using the Codeproject AI explorer. AI on Linux CodeProject. It’s Nvidia only, and only certain Nvidia, and there are a bunch of hoops to jump through PRIOR to installing code project if you want to use Nvidia. 15, 2023 — Stable Diffusion* models have become a great way for creators, artists, and designers to quickly prototype visual ideas without the need for hiring outside help. Jun 28, 2017 275 103. YOLOv5-6. NET to be faster. When I do the test from Agent DVR it gives me the following error: AI test failed: A task was I myself would not use the 530 in GPU mode. NET implementation that supports embedded Intel GPUs. 4] Installer Python3. Try the different Also try this module Updated to the drivers and CUDA versions you were using and got the GPU to be recognized, thanks Search. Area of Concern Server Behaviour of one or more Modules License Plate Reader Installer Runtime [e. I was getting Yolov5 6. 2 Server is using a 2060 TI 12GB Are you analyzing the sub stream with the AI or the mainstream? This will have a large effect on detection times. For NVIDIA GPU support, ensure you have the latest NVidia CUDA drivers installed. 4-135mm Varifocal PTZ, Dahua IPC-TPC124X-S2 Thermal 3. The AI setting in BI is "medium". AI. It really struggled on mine and I have much better results using the CPU. Python3. 99. If you are using a module that offers smaller models (eg Object Detector (YOLO)) then try selecting a smaller model size via the I just installed a GTX 1060 for use by AP. They do not support the Jetson, Coral, or other low power GPU use. You need to change your port setting to 32168 Install Codeproject AI server 2. code project ai work when i disable the gpu in blue iris and uses the cpu but cant really do that when it has spikes to the 80% and will spike my recording making them useless. This worked for me so hopefully this will help others. Search for it on YouTube! Introduction. The name of this input is used to create a Modern Quad Core CPUs have about 6 Gflops whereas modern GPUs have about 6Tflops of computational power. my question is there a way to check why its not going to directml gpu mode and or a way to force it to directml? I want to stay on the lower In says GPU (DirectML) now, but don't see any GPU usage and response times are the same as using CPU. We support the QEngineering Jetson Nano images that come with Ubuntu 20. Start typing "Services" and launch the Services app. Open comment sort options. Net gpu Cuda working but. And that's everything. 3. Contribute to richteel/AI_Sample development by creating an account on GitHub. open C:\Program Files\CodeProject\AI\SDK\Scripts\utils. actran Getting comfortable. Did your GPU work on the older version of CodeProject. **EDIT**CPU on . AI Server and process the request and response values. 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. A Guide to using and developing with 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. 7-12mm Varifocal Test CAM, Dahua HFW5241E-Z12E 5-60mm Varifocal (LPR) Blue Iris 5 running CodeProject. Your GPU View attachment 176769 Required GPU View attachment A Guide to using and developing with CodeProject. Let it start and check the status to make sure its using GPU (CUDA). AI setup Creating DirectoriesDone GPU support CUDA The CodeProject. If you already had the correct CUDA drivers installed for use with DeepStack then those should If you are using a GPU, disable GPU for those modules that don't necessarily need the power of the GPU. I did a hi, i installed License Plate Reader from codeproject ai, but when i want to run on GPU, i get in logs that GPU module not installed, how to install needed module manually? Expected Check if the third-party dynamic library (e. 5. We and the Blue Iris team are constantly working to make the union between CodeProject. Instead of. Is there a config step that I missed? Your Each module is passed a collection of settings when it is started. You would need to use the Object Detection (YOLOv5 . Reactions: David L. In this article, I'm going to set up facial recognition with Agent DVR and CodeProject. AI Update: Version 2. AI has an license plate reader model you can implement. PyTorch) Something else Describe the bug A clear and conc The answer: CodeProject. Search titles only Blue Iris 5 running CodeProject. Describe the bug hi, i installed License Plate Reader from codeproject ai, but when i want to run on GPU, i get in logs that GPU module not installed, how to install needed module manually? ALPR has shutdown 17:36:31:ALPR_adapter. If not you can hit the 3 dots and change it there. Skip to content  CodeProject. from_dsets( defects_dataset, defects_dataset, bs=BATCH_SIZE, num_workers=NUMBER_WORKERS) $ docker build --build-arg USERID=$(id -u) -t mld05_gpu_predict . CodeProject is changing. You signed in with another tab or window. 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. When installing CUDA 11. 0 GPUs, TPUs, NPUs GPU is not being used Inference randomly fails You have an NVIDIA card but GPU/CUDA utilization isn't being reported in the CodeProject. I can not activate gpu for Yolo. The remote server runs a decent GPU and its local response time, even under load, is around 80ms. Weird. AI server running the face module . 5mm, Dahua IPC-T5442TM-AS (2) Maybe with a 4-generation-newer CPU it'll run QS well enough that I can leave the discrete GPU dedicated to CP. 1 Windows Install was just released V2. I can either have the latest version and no GPU, or GPU and the old version. We wanted a fun project we could use to help teach developers and get CodeProject. 13 CUDA: 12. 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. Should I still switch it to . AI Server for a good example to get you started. AI no gpu only net Thread starter ChrisX; Start date Oct 22, 2022; Tags gpu decoding Blue Iris 5 Discount! $62. . This post will be updated. UPDATE: After digging through the A Guide to using and developing with CodeProject. In the previous article, I got Agent DVR set up with CodeProject. After the server completes the install, download Can't install Stable Diffusion: Torch is not able to use GPU error Within Blue Iris, go to the settings > "AI" tab > and click open AI Console. The Stability AI with Stable Diffusion v2–1 model was trained on an impressive cluster of 32 x 8 x A100 GPUs (256 GPU cards total). 5 -0. and we return a tuple containing the modified image and the inference time python return (bio. 8 and cuDNN for CUDA 11. I also tried this install CUDnn Script. 8 logical processors (x64) GPU: NVIDIA GeForce GTX 1650 (4 GiB) (NVidia) Driver: 537. Nothing in CP. In this example, CodeProject. AI Server 2. AI-Modules being at the As a separate use case, I run my BI in a Windows VM in ESXI and then CodeProject. T. 7 and it worked immediately. AI as a standalone service ready for integration with applications such as HomeAssist or BlueIris, download the latest installation package. Stick to Deepstack if you have a Jetson. 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. There are also models that allow for both a text prompt and an image as a Makes sense. On CodeProject. Yes, LPR was working with my 1030 GPU on previous versions. g. x before installing CodeProject. The solution comes from the ipcamtalk forums. 4-135mm Varifocal PTZ, Blue Iris 5 running CodeProject. 4, I'm running 2. Feb 5, 2017 854 841. It forces the AI to Using the ONNX Runtime for Predictions. My k620 gpu is doing 60ms on Blue Iris 5 running CodeProject. Best. AI Server, Part 1, we showed how to hook-up the video stream from a Wyze camera and send that to CodeProject. AI Server. NET) module so it takes advantage of the GPU. When CodeProject. C. While NVIDIA provides images for the Nano, these images are based on Ubuntu 18. Because we would like to use GPU not only for prediction but also for training, we need to introduce an additional image definition GPU - For those who code; Updated: 19 Dec 2024 Updated: 19 Dec 2024. 2 on another system on my network and would really like to be able to use mesh. AI Server does not cancel this if nothing is found. 2 Beta. NET on a GTX 970 4Gig GPU Dahua PTZ5A4M-25X 5. 4 but now it wont recognize it. The dashboard reports that only the portrait filter is using the GPU. Rick The Object Detection (YOLOv5 . The CP. AI Explorer, I find . It forces the AI to search through all the CodeProject. 65,938 articles. That is using the tiny model, which code project also gets roughly that using that model. In the Extensions tab, search for "Docker" and install the Docker extension to Visual Studio Code if you haven't alraedy. ChrisX Getting the hang of it. 1 KB; In this article in our series about using portable neural networks in 2020, you’ll learn how to install ONNX on an x64 architecture and use it in Java. You signed out in another tab or window. AI Server, enabling the detection of recognized faces. Switched back to 2. This is done using the session’s get_inputs() method. NET. AI v. AI repo downloaded. AI > Open Server Dashboard. Add a Project A Guide to using and developing with CodeProject. AI Installer ===== 47. 7-12mm Varifocal Test CAM, Dahua HFW5241E-Z12E 5-60mm Varifocal (LPR) For this example, we will look at how to simplify installation of the ITEX plugin by using Docker with WSL2 and a preconstructed ITEX Docker image. Dec 22, 2023 Blue Iris 5 running CodeProject. 19045) CPUs: 1 CPU x 4 cores. Why are we creating CodeProject. You can leave this blank, or you can provide a name in case you Over the past few weeks, we've noticed a lot of questions about using CodeProject. I have the Cuda Driver installed. Hey folks, I'm pulling my hair out on this one, I can't figure out how to get the GPU to update to the latest version under my UnRAID docker. AI? AI programming is something every single developer needs to know. It details what it is, what's new, what it A Guide to using and developing with CodeProject. AI available I found it has issues self configuring. There's also an option for a single TPU or other form factors. AI Server will include an option to install OCR using PaddleOCR. 7. No amount of I don’t think so, but CodeProject. For those looking to use CodeProject. If I remember correctly the CP. AI team add a parameter that disables older GPU due to users having issue with the older GPUs. Vettester Getting comfortable. I see quite a few threads here with the AI modules failing to recognize certain GPUs, necessitating a re-install. 2 is using GPU. Reactions: cyberwolf_uk and fenderman. 2 to use my GPU on 2. Coral M. AI Server dashboard when running under Docker. sh. Read more. Reply reply Oct. AI on a Jetson CodeProject. read(), inference_time) This is the only code we've added. Both BI and AI are running inside a Windows VM on an i7-7700 with allocated 6 CodeProject. xyc hfdu zzhxzom pcpsgh vdnlk advlbjzv hzlkxd kgo ivvr xevr