Semantic Segmentation with PyTorch and Napari

This video shows how to use Napari (with a customized labeling widget) and PyTorch to train a deep learning UNET semantic segmentation model network to detect roots. A similar workflow could be used for image with vessels, cracks or other filament like structure. We use augmentation to supplement a very small number of labels.