install the CUDA Drivers (We recommend CUDA 11.7 or CUDA 11.8 if running Windows).If you have a CUDA enabled Nvidia card, please then ensure you Sudo bash " /Library/CodeProject.AI Server//uninstall.sh" Ubuntu uses dpkg, so to uninstall simply call.Windows uses the standard Windows installer, so use the Control Panel / Apps and Features applet to manage the installation.To uninstall, please take note of the instructions when you install. On Windows it's a Windows service, on Ubuntu it uses systemd, and on macOS it's simply a login item so will start each time you login.įor all platforms, open to view the dashboard. The native installers (Windows, Ubuntu and macOS) all install the server as a service. See the API documentation for a complete rundown of functionality. You can include the CodeProject.AI Server installer (or just a link to the latest version of the installer) in your own apps and installers and voila, you have an AI enabled app. For a Docker Container for 64 Bit Linux, run:ĭetect the scene in this file: function detectScene(fileChooser) confidence`).We recommend CUDA 11.8 if running Windows For a Windows Service, download the latest version, install, and launch the shortcut to the server's dashboard on your desktop or open a browser to If you wish to take advantage of a CUDA enabled NVIDIA GPU, please ensure you have the CUDA drivers installed before you install CodeProject.AI.Your machine, your network, no data needs to leave your device. If you have a webcam inside your house, or can't work out how much AWS will charge, it's not so OK.ĬodeProject.AI Server can be installed locally. If you trust the cloud provider, or understand the billing structure, or can be assured you aren't sending sensitive data or won't go over the free tier, this is fine. AI solutions often require the use of cloud services.CodeProject.AI Server also provides an installation script that will setup your dev environment and get you debugging within a couple of clicks. There was much yelling at CodeProject.ĬodeProject.AI Server includes everything you need in a single installer. You need to install packages and languages and extensions to tools, and then updates and libraries (but version X, not version Y) and then you have to configure paths and.Oh, you want to run on Windows not Linux? In that case, you need to. AI coding examples have too many moving parts.We'll be using CodeProject.AI Server as a focus for articles and exploration to make it fun and painless to learn AI programming. We wanted a fun project we could use to help teach developers and get them involved in AI. AI programming is something every single developer should be aware of.The CodeProject.AI Server's Explorer in action Why We Built CodeProject.AI Server Common Issues with Blue Iris and CodeProject.AI Server.Setting up CodeProject.AI Server on Home Assistant OS.Install the server and start making calls to the API. Model training, including dataset acquisition, for YOLO object detection.Image processing such as background removal, background blur, cartoon-isation and resolution enhancement.Text processing such as sentiment analysis and summarization.NET versions that use YOLO, plus a Tensorflow-Lite module that's ultra-lightweight and great for Raspberry Pi and Coral USB sticks Your data stays in your network.Ĭurrently CodeProject.AI Server contains AI modules that provide: Any language that can make HTTP calls can access the service, and the server does not require an external internet connection. Alternatively there are multiple Docker images for 圆4, arm64 and CUDA enabled systems. NET, node - whatever works for you.ĬodeProject.AI server runs as a Windows service, under systemd in Linux, or on startup on macOS. The AI operations are handled by drop-in modules that can be easily created using any language, any stack, as long as that stack runs on the host machine. Think of CodeProject.AI Server like a database server: you install it, it runs in the background, and provides AI operations for any application via a simple API. CodeProject.AI Server manages your MLOps for you. Download Raspberry Pi (Ubuntu arm64) Installer 2.5.1 - 28 MBĬodeProject.AI Server: An Artificial Intelligence Serverįor those who want to integrate AI functionality into their applications without writing the AI functionality or dealing with the insanely painful task of ensuring everything is setup correctly.Download Ubuntu (圆4) Installer 2.5.4 - 28 MB.Download macOS (arm64) Installer 2.5.4 - 37 MB.Download macOS (圆4) Installer 2.5.4 - 37 MB.Docker Images - CPU, GPU (CUDA 11.7, 12.2), arm64, Raspberry Pi.Download Windows 圆4 installer 2.5.4 - 27 MB.
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