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RefineNet is a MATLAB-based framework for semantic image segmentation and general dense prediction tasks. It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets. It provides trained models for datasets...
An open infrastructure software to facilitate radiomics research.
This web page is not guaranteed to have the latest versions.
The latest stand-alone version can be downloaded at
http://bit.ly/IBEX_MDAnderson
The latest source-code version can be downloaded at
http://bit.ly/IBEXSrc_MDAnderson
IBEX (imaging biomarker explorer) is an open
infrastructure software platform that flexibly supports common radiomics workflow tasks such as
multimodality image data import and review, development of feature extraction algorithms, model
validation,...
Moved to https://github.com/rdiankov/openrave
An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.
BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
The Sick LIDAR Matlab/C++ Toolbox offers stable and easy-to-use C++ drivers for Sick LMS and Sick LD LIDARs. It provides a Matlab Mex interface for streaming LIDAR returns directly into Matlab. Also included are config utilities, examples, and tutorials.