NNStreamer
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About
NNStreamer is an efficient and flexible stream pipeline framework for complex neural network applications. Initially developed by Samsung and now part of the LF AI Foundation, it provides GStreamer plugins to easily integrate neural networks and related frameworks (ROS, IIO, FlatBuffers, Protocol Buffers) for efficient tensor data stream manipulation. It supports popular frameworks like TensorFlow and PyTorch and allows users to incorporate custom functions and hardware accelerators. Pre-built binaries are available for various systems including Ubuntu, Tizen, Android, macOS, and Yocto/OpenEmbedded, with APIs in C, Java, and .NET.
Platform
Features
• supports tizen, ubuntu, android, macos, and yocto/openembedded
• apis in c, java, and .net
• gstreamer plugin support
• custom c/c++/python functions
• supports various neural network frameworks (tensorflow, tensorflow-lite, caffe2, pytorch, openvino, armnn, neurun)
• stream pipeline framework
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