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Diploma Thesis

Title

Mask R-CNN in GRASS GIS

Description

The goal of the diploma thesis is a design of a software tool allowing the user to train his own Mask R-CNN model and to apply it to get vector masks from raster data. The library for these tools is heavily based on Python implementation of Mask R-CNN by Waleed Abdulla, Matterport, Inc. (see here).

Student

Bc. Ondřej Pešek

Supervisor

Ing. Martin Landa, Ph.D.

Reader

Moritz Lennert, Université Libre de Bruxelles

Defence

June 2018

Text

PDF

Follow-up development

This repository is freezed by the term of the defence. The follow-up development can be found in repository https://github.com/ctu-geoforall-lab/i.ann.maskrcnn.