
edge-ai-libraries
Performance optimized libraries, microservices, and tools to support the development of Edge AI applications.
Stars: 93

The Edge AI Libraries project is a collection of libraries, microservices, and tools for Edge application development. It includes sample applications showcasing generic AI use cases. Key components include Anomalib, Dataset Management Framework, Deep Learning Streamer, ECAT EnableKit, EtherCAT Masterstack, FLANN, OpenVINO toolkit, Audio Analyzer, ORB Extractor, PCL, PLCopen Servo, Real-time Data Agent, RTmotion, Audio Intelligence, Deep Learning Streamer Pipeline Server, Document Ingestion, Model Registry, Multimodal Embedding Serving, Time Series Analytics, Vector Retriever, Visual-Data Preparation, VLM Inference Serving, Intel Geti, Intel SceneScape, Visual Pipeline and Platform Evaluation Tool, Chat Question and Answer, Document Summarization, PLCopen Benchmark, PLCopen Databus, Video Search and Summarization, Isolation Forest Classifier, Random Forest Microservices. Visit sub-directories for instructions and guides.
README:
The Edge AI Libraries project hosts a collection of libraries, microservices, and tools for Edge application development. This project also includes sample applications to showcase the generic AI use cases.
Some of these components are available as git submodules, and can be fetched with git submodule update --init --recursive
Key components of the Edge AI Libraries:
Intel, the Intel logo, OpenVINO, and the OpenVINO logo are trademarks of Intel Corporation or its subsidiaries.
Visit each library, microservice, tool, or sample sub-directory for the respective Getting Started, Build instructions and Development guides.
Visit the Edge AI Suites project for a broader set of sample applications targeted at specific industry segments.
To learn how to contribute to the project, see CONTRIBUTING.md.
For support, please submit your bug report and feature request to Github Issues.
The Edge AI Libraries project is licensed under the APACHE 2.0 license, except for the following components:
Component | License |
---|---|
Dataset Management Framework (Datumaro) | MIT License |
Intel® Geti™ | Limited Edge Software Distribution License |
Intel® SceneScape | Limited Edge Software Distribution License |
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The Edge AI Libraries project is a collection of libraries, microservices, and tools for Edge application development. It includes sample applications showcasing generic AI use cases. Key components include Anomalib, Dataset Management Framework, Deep Learning Streamer, ECAT EnableKit, EtherCAT Masterstack, FLANN, OpenVINO toolkit, Audio Analyzer, ORB Extractor, PCL, PLCopen Servo, Real-time Data Agent, RTmotion, Audio Intelligence, Deep Learning Streamer Pipeline Server, Document Ingestion, Model Registry, Multimodal Embedding Serving, Time Series Analytics, Vector Retriever, Visual-Data Preparation, VLM Inference Serving, Intel Geti, Intel SceneScape, Visual Pipeline and Platform Evaluation Tool, Chat Question and Answer, Document Summarization, PLCopen Benchmark, PLCopen Databus, Video Search and Summarization, Isolation Forest Classifier, Random Forest Microservices. Visit sub-directories for instructions and guides.

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