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 and later transferred to LF AI Foundation, it provides a set of GStreamer plugins. This allows developers to easily apply neural networks, attach related frameworks (like ROS, IIO, FlatBuffers, Protocol Buffers), and efficiently manipulate tensor data streams within GStreamer pipelines. It has been adopted by various Android and Tizen devices in Samsung, proving its reliability for commercial use. NNStreamer supports popular neural network frameworks such as Tensorflow, Tensorflow-lite, Caffe2, PyTorch, OpenVINO, ARMNN, and NEURUN, and also enables users to include custom C functions, C++ objects, or Python objects as filters. It offers official binary releases for Tizen, Ubuntu, Android, macOS, and Yocto/OpenEmbedded, with APIs available in C, Java, and .NET.
Platform
Features
• community support via github and mailing lists
• reliable and robust for commercial products, adopted by samsung devices
• provides apis in c, java, and .net
• supports various operating systems including tizen, ubuntu, android, macos, and yocto/openembedded
• allows custom c, c++, or python objects as neural network filters
• supports tensorflow, tensorflow-lite, caffe2, pytorch, openvino, armnn, neurun
• integrates with gstreamer for neural network applications
• efficient and flexible stream pipeline framework
Pricing Plans
Open Source
Free Plan• Efficient and flexible stream pipeline framework
• GStreamer plugin integration
• Support for various neural network frameworks (Tensorflow, PyTorch, etc.)
• Custom filter integration (C, C++, Python)
• APIs in C, Java, and .NET
• Community support and open-source development
Job Opportunities
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