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ecodynizw
imageseg:Deep Learning Models for Image Segmentation
A general-purpose workflow for image segmentation using TensorFlow models based on the U-Net architecture by Ronneberger et al. (2015) <arXiv:1505.04597> and the U-Net++ architecture by Zhou et al. (2018) <arXiv:1807.10165>. We provide pre-trained models for assessing canopy density and understory vegetation density from vegetation photos. In addition, the package provides a workflow for easily creating model input and model architectures for general-purpose image segmentation based on grayscale or color images, both for binary and multi-class image segmentation.
Maintained by Juergen Niedballa. Last updated 1 years ago.
image-segmentationkerastensorflow
18 stars 4.95 score 9 scripts