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...You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud.

Highly scalable pub/sub and RPC toolkit optimized for async/await. Pub/sub-channels are very cheap. You can have millions of unique channels without worrying about memory or CPU usage. Channels are automatically cleaned up when they are no longer used. The socket cluster CLI tool exposes kubectl (Kubernetes) shortcut commands to make deploying your app to any Kubernetes cluster really easy. All necessary Kubernetes .yaml files are provided. After deploying your app to a Kubernetes cluster,...

A high-performance sensitive word (illegal word/dirty word) detection and filtering component, with a traditional and simplified exchange, supports full-width half-width exchange, Chinese characters to pinyin, fuzzy search, and other functions. C#Language, using StringSearchEx2.Replacefiltering, on a 48k sensitive thesaurus at over 300 million characters per second.