{"repo":"FAST-Imaging/FAST","free":true,"listed":false,"github":"https://github.com/FAST-Imaging/FAST","clone":"git clone https://github.com/FAST-Imaging/FAST.git","description":"A framework for high-performance medical image processing, neural network inference and visualization","language":"C++","stars":515,"topics":["opencl","visualization","parallel-computing","medical-imaging","gpu-computing","deep-learning","streaming","ultrasound","digital-pathology","image-processing"],"license":"BSD-2-Clause","category":"machine-learning","readme_excerpt":"FAST is an open-source framework developed by researchers at the Norwegian University of Science and Technology (NTNU) and SINTEF. The main goal of FAST is to make it easier to do high-performance processing, neural network inference, and visualization of medical images utilizing multi-core CPUs and GPUs. To achieve this, FAST use modern C++, OpenCL and OpenGL, and neural network inference libraries such as TensorRT, OpenVINO, TensorFlow and ONNX Runtime. Get started See installation instructions for Windows, Ubuntu Linux, macOS and Docker containers. To start using the framework, check out the C++ tutorials or the Python tutorials. Learn best by example? Check out all the examples for C++ and Python. For more examples and documentation, go to fast-imaging.github.io. Need help? Post your questions on the Discussions page. Main features Data streaming – Processing pipelines in FAST can handle both static and dynamic/temporal data without any change to the code. FAST can stream data from movie files, your webcamera, an Intel RealSense camera, a sequence of images and even directly from ultrasound scanners such as Clarius. Deep learning – FAST provides a common interface for neural networks supporting different model formats (ONNX, protobuf, SavedModel, OpenVINO, UFF) and backends (Google TensorFlow, NVIDIA TensorRT, Intel OpenVINO, Microsoft ONNX Runtime), making it possible to create real-time neural network pipelines. High-level data management – Data objects in FAST represen","default_branch":null,"files":null,"tree":[],"storefront":"/r/FAST-Imaging","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/FAST-Imaging/FAST/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}