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hackathon-ntts-2025-segmentation

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Lab @InseeFr 17

• "torch.optim.adamw.AdamW",
• "mlflow.pyfunc.PyFuncModel",
• "transformers.models.segformer.modeling_segformer.SegformerAttention",
• "transformers.models.segformer.modeling_segformer.SegformerEfficientSelfAttention",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.getattr",
• "transformers.models.segformer.modeling_segformer.SegformerDWConv",
• "transformers.models.segformer.configuration_segformer.SegformerConfig",
• "torch.float32",
• "transformers.models.segformer.modeling_segformer.SegformerDecodeHead",
• "torch.FloatStorage",
• "transformers.models.segformer.modeling_segformer.SegformerMLP",
• "torch.nn.modules.linear.Linear",
• "torch.LongStorage",
• "torch.nn.modules.normalization.LayerNorm",
• "collections.OrderedDict",
• "transformers.activations.GELUActivation",
• "__builtin__.set",
• "torch.nn.modules.linear.Identity",
• "torch.device",
• "torch.optim.lr_scheduler.OneCycleLR",
• "torch._C._nn.gelu",
• "transformers.models.segformer.modeling_segformer.SegformerDropPath",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.segformer.modeling_segformer.SegformerMixFFN",
• "torch._utils._rebuild_parameter",
• "transformers.models.segformer.modeling_segformer.SegformerOverlapPatchEmbeddings",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "mlflow.pytorch._PyTorchWrapper",
• "torch.nn.modules.conv.Conv2d",
• "transformers.models.segformer.modeling_segformer.SegformerSelfOutput",
• "transformers.models.segformer.modeling_segformer.SegformerEncoder",
• "models.segmentation_module.SegmentationModule",
• "transformers.models.segformer.modeling_segformer.SegformerModel",
• "transformers.models.segformer.modeling_segformer.SegformerLayer",
• "torch.nn.modules.activation.ReLU",
• "models.components.segmentation_models.SemanticSegmentationSegformer",
• "mlflow.models.model.Model"

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