1 code implementation • 8 Oct 2022 • Vincent Grondin, François Pomerleau, Philippe Giguère
In this work, we propose to use simulated forest environments to automatically generate 43 k realistic synthetic images with pixel-level annotations, and use it to train deep learning algorithms for tree detection.
1 code implementation • 31 Oct 2022 • Vincent Grondin, Jean-Michel Fortin, François Pomerleau, Philippe Giguère
Tree perception is an essential building block toward autonomous forestry operations.
1 code implementation • 3 Mar 2022 • Jean-Michel Fortin, Olivier Gamache, Vincent Grondin, François Pomerleau, Philippe Giguère
Using our dataset, we then compare three neural network architectures on the task of individual logs detection and segmentation; two region-based methods and one attention-based method.