Datasets:

---

datnguyentien204

/

HazeFinal_ReSplit

like 0

• "torch.nn.modules.linear.Identity",
• "ultralytics.utils.IterableSimpleNamespace",
• "ultralytics.nn.modules.block.SCDown",
• "ultralytics.utils.tal.TaskAlignedAssigner",
• "ultralytics.utils.loss.BboxLoss",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "_codecs.encode",
• "ultralytics.nn.modules.block.Attention",
• "ultralytics.utils.loss.DFLoss",
• "torch.Size",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.block.SPPF",
• "torch.nn.modules.container.ModuleList",
• "torch._utils._rebuild_parameter",
• "ultralytics.utils.loss.E2EDetectLoss",
• "ultralytics.nn.modules.block.DFL",
• "torch.FloatStorage",
• "ultralytics.nn.modules.block.C2fCIB",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.modules.block.CIB",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "ultralytics.nn.modules.conv.Conv",
• "torch.nn.modules.pooling.MaxPool2d",
• "numpy.dtype",
• "ultralytics.nn.modules.block.C2f",
• "ultralytics.nn.modules.head.v10Detect",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.nn.modules.container.Sequential",
• "collections.OrderedDict",
• "ultralytics.nn.modules.block.Bottleneck",
• "__builtin__.set",
• "ultralytics.nn.modules.block.PSA",
• "numpy._core.multiarray.scalar",
• "torch.device",
• "ultralytics.utils.loss.v8DetectionLoss",
• "torch.HalfStorage",
• "torch.LongStorage",
• "ultralytics.nn.modules.conv.Concat"

How to fix it?

• "ultralytics.nn.modules.conv.Concat",
• "torch.nn.modules.linear.Identity",
• "ultralytics.nn.modules.block.HGBlock",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.activation.SiLU",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.dropout.Dropout",
• "torch.LongStorage",
• "ultralytics.nn.modules.conv.DWConv",
• "ultralytics.nn.modules.block.HGStem",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.sparse.Embedding",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.nn.modules.block.RepC3",
• "collections.OrderedDict",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.normalization.LayerNorm",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.activation.ReLU",
• "ultralytics.nn.modules.conv.RepConv",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.conv.LightConv",
• "torch.nn.modules.upsampling.Upsample",
• "ultralytics.nn.modules.transformer.MLP",
• "ultralytics.nn.modules.transformer.AIFI",
• "torch.FloatStorage",
• "ultralytics.nn.modules.head.RTDETRDecoder",
• "ultralytics.nn.tasks.RTDETRDetectionModel",
• "ultralytics.nn.modules.transformer.DeformableTransformerDecoderLayer",
• "torch.HalfStorage",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "__builtin__.set",
• "ultralytics.nn.modules.transformer.DeformableTransformerDecoder",
• "ultralytics.nn.modules.transformer.MSDeformAttn",
• "torch.nn.modules.activation.GELU"

How to fix it?

• "ultralytics.nn.modules.block.PSA",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.nn.modules.head.v10Detect",
• "torch.nn.modules.linear.Identity",
• "ultralytics.utils.tal.TaskAlignedAssigner",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.utils.IterableSimpleNamespace",
• "ultralytics.nn.modules.block.SPPF",
• "numpy._core.multiarray.scalar",
• "ultralytics.nn.modules.block.C2f",
• "ultralytics.nn.modules.block.CIB",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.utils.loss.v8DetectionLoss",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "_codecs.encode",
• "ultralytics.utils.loss.BboxLoss",
• "torch.Size",
• "ultralytics.utils.loss.DFLoss",
• "torch.LongStorage",
• "torch.nn.modules.conv.Conv2d",
• "ultralytics.nn.modules.conv.Conv",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.pooling.MaxPool2d",
• "numpy.dtype",
• "ultralytics.nn.modules.block.C2fCIB",
• "torch.nn.modules.container.Sequential",
• "ultralytics.utils.loss.E2EDetectLoss",
• "torch.nn.modules.upsampling.Upsample",
• "ultralytics.nn.modules.block.DFL",
• "torch.FloatStorage",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.HalfStorage",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "__builtin__.set",
• "ultralytics.nn.modules.block.Attention",
• "torch.device",
• "ultralytics.nn.modules.block.SCDown"

How to fix it?