Instance segmentation

[WaterKnight (David Lacalle Castillo)]

@muellerzr @rsomani95 @joneslloyd @pinaki @riven314 @lgvaz I opened a new post with the package:

SemTorch: A Semantic Segmentation library build above FastAI

Hi, guys: I am happy to announce that I have released SemTorch. This library allows you to train 5 different Sementation Models: UNet, DeepLabV3+, HRNet, Mask-RCNN and U²-Net in the same way. For example: # SemTorch from semtorch import get_segmentation_learner learn = get_segmentation_learner(dls=dls, number_classes=2, segmentation_type="Semantic Segmentation", architecture_name="deeplabv3+", backbone_name="resnet50", metri…

Deep-Tumour-Spheroid: Segmentation of Brain Tumours with FastAI & SemTorch

Hi, I am happy to announce that I have published my final degree project: Deep-Tumour-Spheroid Deep Learning is making a big impact in areas such as autonomous driving, medicine and robotics among others. In medicine, it is helping doctors to diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This project contributes to an important field like medicine. In particular, the aim of this project is to improve the automatic segment…