This code implements the method of learning L-system representations of pixel images with branching structures described in:
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Jianwei Guo, Haiyong Jiang, Bedrich Benes, Oliver Deussen, Xiaopeng Zhang, Dani Lischinski, Hui Huang.
Inverse Procedural Modeling of Branching Structures by Inferring L-Systems.
ACM Transactions on Graphics 2020.
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Please consider citing the above paper if this code/program (or part of it) benefits your project.
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
There are two folders in the code. The "L-system inference" is a C++ program for generating datasets and inferring L-system from an input image after detection. The "Neural detector" is used for Faster RCNN network training and testing.
Please go into each folder for how to use the code.
Should you have any questions, comments, or suggestions, please contact me at: gjianwei.000@gmail.com
Jianwei Guo: http://jianweiguo.net/
July, 2020
Copyright (C) 2020