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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.

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. There is also a native Windows installer that allows it to run as a serviceĬurrently CodeProject.AI Server contains AI modules that provide Under Docker it runs on any system that can host Docker, and provides specific Arm64 versions for Apple Silicon and Boards such as Raspberry Pi and Jetson.

Any language that can make HTTP calls can access the service, and the server does not require an external internet connection.

NET, node - whatever works for you.ĬodeProject.AI server runs as a Windows service or under Docker. 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. Download cuDNN install script (Windows, for NVidia GPU support)ĬodeProject.AI Server: An Artificial Intelligence server.Docker Image - CPU, GPU, arm64, Raspberry Pi (2.1.9).Download Windows Installer 2.1.9.zip - 410 KB.