AI Inference Toolkit
4.4k 2026-05-01
xlite-dev/lite.ai.toolkit
A lightweight C++ toolkit for deploying over 100 AI models across various inference engines.
Core Features
Supports 100+ AI models (Object Detection, Face Recognition, Segmentation, etc.)
Integrates multiple inference engines (MNN, ONNX Runtime, TensorRT, TNN, NCNN)
Lightweight C++ implementation for efficient deployment
Provides a simple and consistent API (e.g., lite::cv::Type::Class)
Designed with minimum dependencies for ease of integration
Detailed Introduction
Lite.Ai.ToolKit is a robust C++ AI toolkit engineered for the efficient deployment of a diverse range of deep learning models. It offers a unified, lightweight framework that supports over 100 models, encompassing critical AI tasks such as object detection, face recognition, segmentation, and more. By seamlessly integrating popular inference engines like MNN, ONNX Runtime, and TensorRT, the toolkit empowers developers to run AI models on various hardware platforms (CPU/GPU) with minimal external dependencies and a consistent API, significantly streamlining the process of embedding advanced AI capabilities into C++ applications.