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
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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