NNStreamer
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About
NNStreamer is an efficient and flexible stream pipeline framework for complex neural network applications. It was initially developed by Samsung and then transferred to LF AI Foundation as an incubation project. It provides a set of GStreamer plugins, enabling developers to easily apply neural networks, attach related frameworks (like ROS, IIO, FlatBuffers, Protocol Buffers), and manipulate tensor data streams in GStreamer pipelines efficiently. Adopted by various Android and Tizen devices in Samsung, it supports well-known neural network frameworks including Tensorflow, Tensorflow-lite, Caffe2, PyTorch, OpenVINO, ARMNN, and NEURUN. Users can include custom C functions, C++ objects, or Python objects as neural network filters and integrate support for new frameworks or hardware AI accelerators.
Platform
Features
• efficient and flexible stream pipeline framework
• robust for commercial products
• apis in c, java, and .net
• cross-platform compatibility (tizen, ubuntu, android, macos, yocto)
• supports custom c/c++/python functions as filters
• integrates with ros, iio, flatbuffers, protocol buffers
• supports multiple neural network frameworks (tensorflow, tensorflow-lite, caffe2, pytorch, openvino, armnn, neurun)
• gstreamer plugins for neural networks
Pricing Plans
Free
Free Plan• Access to all core NNStreamer functionalities
• Supports multiple neural network frameworks (Tensorflow, PyTorch, Caffe2, OpenVINO, ARMNN, NEURUN)
• Compatible with GStreamer-supported systems (Ubuntu, Tizen, Android, macOS, Yocto)
• APIs in C, Java, .NET
• Community support via GitHub and mailing lists
Job Opportunities
There are currently no job postings for this AI tool.
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