An opinionated declarative deployment tool, extensible to virtually any deployment topology.
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Updated
Dec 26, 2017 - Python
An opinionated declarative deployment tool, extensible to virtually any deployment topology.
We proposes a novel and robust 3D object segmentation method, the Gaussian Density Model (GDM) algorithm. The algorithm works with point clouds scanned in the urban environment using the density metrics, based on existing quantity of features in the neighborhood. The LiDAR Velodyne 64E was used to scan urban environment.
Script that automatically blurs an image and sets it as GDM background
Python library for efficient rectangular decomposition of binary images using the Generalized Delta-Method.
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