skaliy

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endometrial_cancer_segmentation

like 1

• "pathlib.PosixPath",
• "inspect.Parameter",
• "fastMONAI.vision_augmentation.RandomAffine",
• "fastMONAI.vision_core.MedImage",
• "fastai.learner.Learner",
• "__builtin__.object",
• "fastMONAI.vision_loss.CustomLoss",
• "torch.nn.modules.linear.Identity",
• "pandas.core.series.Series",
• "torch.FloatStorage",
• "inspect._ParameterKind",
• "monai.networks.blocks.acti_norm.ADN",
• "fastai.torch_core.trainable_params",
• "fastai.learner.Recorder",
• "random.Random",
• "fastcore.foundation.L",
• "torch.nn.modules.conv.Conv3d",
• "torchio.transforms.augmentation.spatial.random_affine.RandomAffine",
• "fastai.data.transforms.IntToFloatTensor",
• "torch.nn.modules.dropout.Dropout",
• "torch.Tensor",
• "torchio.transforms.augmentation.spatial.random_flip.RandomFlip",
• "__builtin__.print",
• "pathlib.Path",
• "fastMONAI.vision_augmentation.ZNormalization",
• "fastMONAI.vision_augmentation.PadOrCrop",
• "torchio.transforms.preprocessing.spatial.crop_or_pad.CropOrPad",
• "torch.nn.modules.container.Sequential",
• "__builtin__.tuple",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.data.core.TfmdLists",
• "monai.networks.blocks.convolutions.ResidualUnit",
• "monai.losses.dice.DiceCELoss",
• "inspect.Signature",
• "torch._utils._rebuild_parameter",
• "fastai.learner.AvgSmoothLoss",
• "fastai.learner.AvgLoss",
• "torch.device",
• "__builtin__.getattr",
• "fastai.learner.CastToTensor",
• "torch.nn.modules.conv.ConvTranspose3d",
• "fastai.data.core.Datasets",
• "fastai.data.core.TfmdDL",
• "monai.losses.dice.DiceLoss",
• "fastai.data.transforms.ToTensor",
• "fastcore.transform.Pipeline",
• "fastcore.transform.Transform",
• "torch.nn.modules.activation.PReLU",
• "monai.networks.blocks.convolutions.Convolution",
• "fastai.data.load._wif",
• "monai.networks.layers.simplelayers.SkipConnection",
• "fastai.callback.progress.ProgressCallback",
• "inspect._empty",
• "fastai.optimizer.ranger",
• "fastMONAI.vision_core.MedMask",
• "fastai.data.load._FakeLoader",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "fastMONAI.vision_augmentation.RandomFlip",
• "fastMONAI.vision_augmentation.RandomGamma",
• "torch.nn.modules.instancenorm.InstanceNorm3d",
• "torch._utils._rebuild_tensor_v2",
• "torchio.transforms.preprocessing.intensity.z_normalization.ZNormalization",
• "torchio.transforms.augmentation.intensity.random_gamma.RandomGamma",
• "fastcore.dispatch._TypeDict",
• "__builtin__.unicode",
• "fastai.learner.AvgMetric",
• "fastMONAI.vision_metrics.multi_dice_score",
• "fastai.data.core.DataLoaders",
• "collections.OrderedDict",
• "__builtin__.set",
• "fastai.data.transforms.ColReader",
• "fastcore.dispatch.TypeDispatch"

How to fix it?

• "pathlib.PosixPath",
• "inspect.Parameter",
• "fastMONAI.vision_augmentation.RandomAffine",
• "fastMONAI.vision_core.MedImage",
• "fastai.learner.Learner",
• "__builtin__.object",
• "fastMONAI.vision_loss.CustomLoss",
• "torch.nn.modules.linear.Identity",
• "numpy.core.multiarray.scalar",
• "pandas.core.series.Series",
• "torch.FloatStorage",
• "inspect._ParameterKind",
• "monai.networks.blocks.acti_norm.ADN",
• "fastai.torch_core.trainable_params",
• "fastai.learner.Recorder",
• "random.Random",
• "fastcore.foundation.L",
• "torch.nn.modules.conv.Conv3d",
• "torchio.transforms.augmentation.spatial.random_affine.RandomAffine",
• "fastai.data.transforms.IntToFloatTensor",
• "_codecs.encode",
• "torch.nn.modules.dropout.Dropout",
• "torch.Tensor",
• "torchio.transforms.augmentation.spatial.random_flip.RandomFlip",
• "__builtin__.print",
• "pathlib.Path",
• "fastMONAI.vision_augmentation.ZNormalization",
• "fastMONAI.vision_augmentation.PadOrCrop",
• "torchio.transforms.preprocessing.spatial.crop_or_pad.CropOrPad",
• "torch.nn.modules.container.Sequential",
• "__builtin__.tuple",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.data.core.TfmdLists",
• "monai.networks.blocks.convolutions.ResidualUnit",
• "monai.losses.dice.DiceCELoss",
• "inspect.Signature",
• "torch._utils._rebuild_parameter",
• "fastai.learner.AvgSmoothLoss",
• "fastai.learner.AvgLoss",
• "torch.device",
• "__builtin__.getattr",
• "fastai.learner.CastToTensor",
• "torch.nn.modules.conv.ConvTranspose3d",
• "fastai.data.core.Datasets",
• "fastai.imports.noop",
• "fastai.data.core.TfmdDL",
• "monai.losses.dice.DiceLoss",
• "fastai.data.transforms.ToTensor",
• "fastcore.transform.Pipeline",
• "fastcore.transform.Transform",
• "torch.nn.modules.activation.PReLU",
• "monai.networks.blocks.convolutions.Convolution",
• "fastai.data.load._wif",
• "monai.networks.layers.simplelayers.SkipConnection",
• "fastai.callback.progress.ProgressCallback",
• "inspect._empty",
• "fastai.optimizer.ranger",
• "fastMONAI.vision_core.MedMask",
• "fastai.data.load._FakeLoader",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "fastMONAI.vision_augmentation.RandomFlip",
• "fastMONAI.vision_augmentation.RandomGamma",
• "torch.nn.modules.instancenorm.InstanceNorm3d",
• "torch._utils._rebuild_tensor_v2",
• "torchio.transforms.preprocessing.intensity.z_normalization.ZNormalization",
• "torchio.transforms.augmentation.intensity.random_gamma.RandomGamma",
• "fastcore.dispatch._TypeDict",
• "__builtin__.unicode",
• "fastai.learner.AvgMetric",
• "numpy.dtype",
• "fastMONAI.vision_metrics.multi_dice_score",
• "fastai.data.core.DataLoaders",
• "collections.OrderedDict",
• "__builtin__.set",
• "fastai.data.transforms.ColReader",
• "fastcore.dispatch.TypeDispatch"

How to fix it?