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BGNN-trait-segmentation

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HDR Imageomics Institute 144

• "torch.nn.modules.activation.Sigmoid",
• "segmentation_models_pytorch.base.heads.SegmentationHead",
• "pretrainedmodels.models.senet.SEResNeXtBottleneck",
• "segmentation_models_pytorch.fpn.model.FPN",
• "segmentation_models_pytorch.fpn.decoder.FPNDecoder",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.container.ModuleList",
• "torch.LongStorage",
• "torch._utils._rebuild_tensor_v2",
• "segmentation_models_pytorch.fpn.decoder.MergeBlock",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.dropout.Dropout2d",
• "torch.FloatStorage",
• "pretrainedmodels.models.senet.SEModule",
• "segmentation_models_pytorch.fpn.decoder.FPNBlock",
• "segmentation_models_pytorch.fpn.decoder.SegmentationBlock",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.upsampling.UpsamplingBilinear2d",
• "torch.nn.modules.normalization.GroupNorm",
• "collections.OrderedDict",
• "segmentation_models_pytorch.encoders.senet.SENetEncoder",
• "segmentation_models_pytorch.fpn.decoder.Conv3x3GNReLU",
• "torch.nn.modules.conv.Conv2d",
• "segmentation_models_pytorch.base.modules.Activation",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.batchnorm.BatchNorm2d"

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