tumourkit
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tumourkit.classification
tumourkit.eval_pipe
tumourkit.infer_pipe
tumourkit.make_dirs
tumourkit.postprocessing
tumourkit.preprocessing
tumourkit.research_pipe
tumourkit.segmentation
tumourkit.segmentation.evaluate
tumourkit.segmentation.hovernet
tumourkit.segmentation.hovernet.config
tumourkit.segmentation.hovernet.dataloader
tumourkit.segmentation.hovernet.extract_patches
tumourkit.segmentation.hovernet.infer
tumourkit.segmentation.hovernet.metrics
tumourkit.segmentation.hovernet.misc
tumourkit.segmentation.hovernet.models
tumourkit.segmentation.hovernet.run_infer
tumourkit.segmentation.hovernet.run_utils
tumourkit.segmentation.hovernet.train
tumourkit.train_pipe
tumourkit.utils
tumourkit
tumourkit
tumourkit.segmentation
tumourkit.segmentation.hovernet
tumourkit.segmentation.hovernet.models
tumourkit.segmentation.hovernet.models.hovernet
tumourkit.segmentation.hovernet.models.hovernet.utils
tumourkit.segmentation.hovernet.models.hovernet.utils.dice_loss
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tumourkit.segmentation.hovernet.models.hovernet.utils.dice_loss
tumourkit.segmentation.hovernet.models.hovernet.utils.
dice_loss
(
true
,
pred
,
smooth
=
0.001
,
device
=
'cuda'
)
pred
and
true
must be of torch.float32. Assuming of shape NxHxWxC.