rezasalatin

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V-BeachNet

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• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.ConvTranspose2d",
• "segmentation_models_pytorch.linknet.decoder.DecoderBlock",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.container.ModuleList",
• "segmentation_models_pytorch.base.modules.Conv2dReLU",
• "efficientnet_pytorch.utils.Conv2dStaticSamePadding",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__builtin__.set",
• "efficientnet_pytorch.utils.MemoryEfficientSwish",
• "segmentation_models_pytorch.encoders.efficientnet.EfficientNetEncoder",
• "segmentation_models_pytorch.linknet.model.Linknet",
• "torch.nn.modules.dropout.Dropout",
• "segmentation_models_pytorch.base.modules.Activation",
• "torch.nn.modules.padding.ZeroPad2d",
• "torch._utils._rebuild_parameter",
• "torch.LongStorage",
• "torch._utils._rebuild_tensor_v2",
• "efficientnet_pytorch.utils.Identity",
• "torch.FloatStorage",
• "torch.nn.modules.linear.Identity",
• "segmentation_models_pytorch.linknet.decoder.TransposeX2",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "efficientnet_pytorch.utils.GlobalParams",
• "efficientnet_pytorch.utils.BlockArgs",
• "efficientnet_pytorch.model.MBConvBlock",
• "torch.nn.modules.activation.Sigmoid",
• "collections.OrderedDict",
• "segmentation_models_pytorch.base.heads.SegmentationHead",
• "segmentation_models_pytorch.linknet.decoder.LinknetDecoder"

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