marr-peng-lab

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organoid_detection

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MarrPengLab 8

• "__builtin__.long",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.activation.ReLU",
• "torchvision.ops.feature_pyramid_network.LastLevelMaxPool",
• "torch.nn.modules.container.Sequential",
• "torchvision.models.detection.rpn.RPNHead",
• "torchvision.ops.feature_pyramid_network.FeaturePyramidNetwork",
• "torchvision.ops.boxes.box_iou",
• "omegaconf.listconfig.ListConfig",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torchvision.models.detection._utils.BoxCoder",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "omegaconf.dictconfig.DictConfig",
• "torch.FloatStorage",
• "torch.nn.modules.flatten.Flatten",
• "torchvision.ops.poolers.LevelMapper",
• "torchvision.models.detection.faster_rcnn.FasterRCNN",
• "collections.OrderedDict",
• "__builtin__.list",
• "torch.LongStorage",
• "__builtin__.set",
• "torchvision.ops.misc.Conv2dNormActivation",
• "omegaconf.base.ContainerMetadata",
• "torch.nn.modules.conv.Conv2d",
• "collections.defaultdict",
• "torchvision.models.detection.transform.GeneralizedRCNNTransform",
• "torch.nn.modules.pooling.MaxPool2d",
• "torchvision.models.detection.rpn.RegionProposalNetwork",
• "torchvision.models.detection.faster_rcnn.FastRCNNConvFCHead",
• "torch._utils._rebuild_tensor_v2",
• "typing.Any",
• "torchvision.ops.poolers.MultiScaleRoIAlign",
• "torchvision.models.detection.anchor_utils.AnchorGenerator",
• "torchvision.models.detection._utils.Matcher",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.models.detection._utils.BalancedPositiveNegativeSampler",
• "models.faster_rcnn_model.FasterRCNN_model",
• "__builtin__.dict",
• "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
• "torch.nn.modules.container.ModuleList",
• "omegaconf.base.Metadata",
• "torchvision.models.detection.backbone_utils.BackboneWithFPN",
• "torchvision.models.resnet.Bottleneck",
• "torchvision.models.detection.roi_heads.RoIHeads"

How to fix it?

• "__builtin__.long",
• "omegaconf.nodes.AnyNode",
• "torch.nn.modules.activation.ReLU",
• "transformer_layers.TransformerDecoder",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch._C._nn.gelu",
• "matcher.HungarianMatcher",
• "omegaconf.listconfig.ListConfig",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.MultiheadAttention",
• "transformer_layers.MLP",
• "omegaconf.dictconfig.DictConfig",
• "torch.FloatStorage",
• "torch.nn.modules.dropout.Dropout",
• "transformer_layers.PositionEmbeddingSine",
• "losses.SetCriterion",
• "transformer_layers.SelfAttentionLayer",
• "collections.OrderedDict",
• "__builtin__.list",
• "__builtin__.set",
• "pathlib.PosixPath",
• "omegaconf.base.ContainerMetadata",
• "collections.defaultdict",
• "transformer_layers.FFNLayer",
• "typing.Any",
• "torch._utils._rebuild_tensor_v2",
• "transformer_layers.CrossAttentionLayer",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.sparse.Embedding",
• "models.detr_own_impl_model.DetectionTransformer",
• "__builtin__.dict",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.container.ModuleList",
• "omegaconf.base.Metadata"

How to fix it?