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NNStreamer

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About

NNStreamer is an efficient and flexible stream pipeline framework designed for complex neural network applications. Initially developed by Samsung, it is now an LF AI Foundation incubation project. It provides a set of GStreamer plugins, enabling developers to easily apply neural networks, integrate related frameworks like ROS and FlatBuffers, and manipulate tensor data streams within GStreamer pipelines. It supports major neural network frameworks including Tensorflow, Tensorflow-lite, Caffe2, PyTorch, OpenVINO, ARMNN, and NEURUN. Users can include custom C, C++, or Python objects as neural network filters and integrate new frameworks or hardware AI accelerators at runtime. NNStreamer is robust enough for commercial products, with official binary releases for Tizen, Ubuntu, Android, macOS, and Yocto/OpenEmbedded, and offers APIs in C, Java, and .NET.

Platform
Web
Task
neural network processing

Features

efficient and flexible stream pipeline framework

integrates with ros, iio, flatbuffers, protocol buffers

robust and adopted by commercial android and tizen devices

provides apis in c, java, and .net

compatible with various operating systems (tizen, ubuntu, android, macos, yocto)

allows custom c, c++, python functions/objects as filters

supports tensorflow, caffe2, pytorch, openvino, armnn, neurun

gstreamer plugins for neural network applications

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