whereismyai
Lite.AI.Toolkit
Lite.AI.Toolkit is a C++ AI toolkit providing 100+ models for object detection, face recognition, and segmentation.
Lite.ai.toolkit is a C++ library designed for running various artificial intelligence models efficiently. It supports tasks like object detection, face detection, face recognition, segmentation, and matting using popular frameworks such as ONNXRuntime, MNN, NCNN, TNN, and TensorRT. The toolkit requires only OpenCV and ONNXRuntime by default, featuring simple and consistent syntax for developers. It is built for developers who need to integrate pre-trained AI models into C++ applications across multiple platforms. The package includes complete MNN and ONNXRuntime integration and supports models like YOLOv5, Stable Diffusion, and FaceFusion.
Lite.AI.Toolkit at a glance
- Best for: Software engineer
- Runs on: Linux, macOS, Windows, Android, open source
- Pricing: Free
- Released: March 2021
- Category: AI coding tool
- Website: github.com/xlite-dev/lite.ai.toolkit
Key features
- Provide 100+ AI models for C++
- Support object detection and segmentation
- Integrate with ONNXRuntime and MNN
- Support TensorRT for NVIDIA GPU inference
- Require only OpenCV and ONNXRuntime by default
- Offer simple and consistent syntax
Use it for
- Perform real-time object detection with YOLO
- Execute face recognition and alignment
- Run image segmentation and matting
- Deploy AI models using TensorRT on NVIDIA GPUs
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