aryanshh

/

littercamvX

like 0

• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.conv.Conv2d",
• "torch.Size",
• "torch.nn.modules.container.ModuleList",
• "torch.LongStorage",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.RepNCSP",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "torch.nn.modules.container.Sequential",
• "models.common.RepNCSPELAN4",
• "models.yolo.DetectionModel",
• "models.common.RepNBottleneck",
• "numpy._core.multiarray.scalar",
• "models.common.RepConvN",
• "torch.nn.modules.linear.Identity",
• "models.common.Conv",
• "__builtin__.set",
• "numpy.dtype",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "torch.HalfStorage",
• "models.common.CBFuse",
• "models.common.Concat",
• "numpy._core.multiarray._reconstruct",
• "torch.nn.modules.upsampling.Upsample",
• "_codecs.encode",
• "models.common.DFL",
• "torch.nn.modules.activation.SiLU",
• "numpy.ndarray",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "models.common.ADown",
• "models.yolo.DualDDetect",
• "models.common.CBLinear",
• "models.common.SP",
• "models.common.SPPELAN",
• "models.common.Silence"

How to fix it?

• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "torch.nn.modules.container.ModuleList",
• "numpy._core.multiarray._reconstruct",
• "models.common.RepNBottleneck",
• "models.common.CBLinear",
• "models.common.ADown",
• "collections.OrderedDict",
• "numpy.dtype",
• "__builtin__.set",
• "models.common.SPPELAN",
• "models.yolo.DetectionModel",
• "torch._utils._rebuild_tensor_v2",
• "torch.Size",
• "torch.nn.modules.conv.Conv2d",
• "numpy.ndarray",
• "torch.nn.modules.upsampling.Upsample",
• "models.common.RepNCSPELAN4",
• "models.common.RepNCSP",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "models.common.CBFuse",
• "models.common.DFL",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.Silence",
• "torch.LongStorage",
• "torch.HalfStorage",
• "torch.nn.modules.activation.SiLU",
• "_codecs.encode",
• "models.yolo.DualDDetect",
• "models.common.RepConvN",
• "models.common.Concat",
• "torch._utils._rebuild_parameter",
• "models.common.Conv",
• "torch.nn.modules.container.Sequential",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.linear.Identity",
• "models.common.SP"

How to fix it?

• "models.common.CBFuse",
• "models.common.Silence",
• "models.common.RepNCSPELAN4",
• "torch.FloatStorage",
• "models.common.ADown",
• "_codecs.encode",
• "models.common.Conv",
• "torch.HalfStorage",
• "models.common.SP",
• "models.common.CBLinear",
• "models.common.RepConvN",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.RepNCSP",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.container.ModuleList",
• "torch.LongStorage",
• "torch.nn.modules.conv.Conv2d",
• "models.yolo.DualDDetect",
• "models.common.SPPELAN",
• "models.common.Concat",
• "collections.OrderedDict",
• "numpy.ndarray",
• "models.common.DFL",
• "torch._utils._rebuild_tensor_v2",
• "models.yolo.DetectionModel",
• "torch.nn.modules.activation.SiLU",
• "torch._utils._rebuild_parameter",
• "numpy.dtype",
• "models.common.RepNBottleneck",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.Size",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "numpy._core.multiarray.scalar",
• "__builtin__.set",
• "numpy._core.multiarray._reconstruct",
• "torch.nn.modules.container.Sequential"

How to fix it?

• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_tensor_v2",
• "_codecs.encode",
• "models.common.CBFuse",
• "torch.nn.modules.conv.Conv2d",
• "models.common.RepNCSP",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "models.common.DFL",
• "torch.LongStorage",
• "models.yolo.DualDDetect",
• "models.common.CBLinear",
• "torch.nn.modules.container.ModuleList",
• "models.common.SP",
• "models.yolo.DetectionModel",
• "models.common.SPPELAN",
• "models.common.ADown",
• "collections.OrderedDict",
• "torch.nn.modules.activation.SiLU",
• "models.common.Concat",
• "torch.HalfStorage",
• "models.common.Conv",
• "models.common.RepConvN",
• "numpy._core.multiarray._reconstruct",
• "numpy.dtype",
• "numpy.ndarray",
• "torch.nn.modules.upsampling.Upsample",
• "__builtin__.set",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.Size",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_parameter",
• "torch.FloatStorage",
• "models.common.RepNBottleneck",
• "numpy._core.multiarray.scalar",
• "models.common.Silence",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "models.common.RepNCSPELAN4"

How to fix it?

• "models.common.Silence",
• "models.common.RepNBottleneck",
• "torch.LongStorage",
• "models.common.SPPELAN",
• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "models.yolo.DetectionModel",
• "torch.Size",
• "_codecs.encode",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleList",
• "torch.FloatStorage",
• "models.common.RepConvN",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.activation.SiLU",
• "models.common.Conv",
• "models.common.CBLinear",
• "collections.OrderedDict",
• "models.common.Concat",
• "models.common.SP",
• "models.common.CBFuse",
• "numpy.ndarray",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.HalfStorage",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.ADown",
• "models.common.RepNCSPELAN4",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.Identity",
• "numpy._core.multiarray._reconstruct",
• "__builtin__.set",
• "models.yolo.DualDDetect",
• "torch._utils._rebuild_tensor_v2",
• "models.common.RepNCSP",
• "torch.nn.modules.conv.Conv2d",
• "models.common.DFL"

How to fix it?

• "numpy._core.multiarray._reconstruct",
• "models.common.RepNCSPELAN4",
• "models.common.RepNCSP",
• "models.common.ADown",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_tensor_v2",
• "models.common.RepNBottleneck",
• "models.common.Silence",
• "_codecs.encode",
• "__builtin__.set",
• "torch.nn.modules.pooling.MaxPool2d",
• "numpy._core.multiarray.scalar",
• "models.yolo.DetectionModel",
• "numpy.ndarray",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "torch.nn.modules.container.ModuleList",
• "models.common.Concat",
• "models.yolo.DualDDetect",
• "torch.nn.modules.linear.Identity",
• "torch.FloatStorage",
• "models.common.RepConvN",
• "models.common.SPPELAN",
• "torch.LongStorage",
• "torch.HalfStorage",
• "collections.OrderedDict",
• "models.common.CBFuse",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.Size",
• "models.common.Conv",
• "numpy.dtype",
• "torch.nn.modules.activation.SiLU",
• "models.common.DFL",
• "models.common.SP",
• "torch._utils._rebuild_parameter",
• "models.common.CBLinear",
• "torch.nn.modules.conv.Conv2d"

How to fix it?

• "models.common.RepNBottleneck",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "__builtin__.set",
• "torch.LongStorage",
• "models.common.RepConvN",
• "torch.nn.modules.container.Sequential",
• "models.common.RepNCSP",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.Conv",
• "models.common.ADown",
• "torch.nn.modules.linear.Identity",
• "models.common.Concat",
• "torch.Size",
• "torch.nn.modules.conv.Conv2d",
• "models.common.CBLinear",
• "numpy.ndarray",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "models.common.RepNCSPELAN4",
• "_codecs.encode",
• "models.common.SP",
• "numpy.dtype",
• "torch.nn.modules.activation.SiLU",
• "models.common.Silence",
• "torch.FloatStorage",
• "models.common.CBFuse",
• "models.common.SPPELAN",
• "models.yolo.DualDDetect",
• "models.yolo.DetectionModel",
• "torch.HalfStorage",
• "numpy._core.multiarray._reconstruct",
• "models.common.DFL",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.upsampling.Upsample"

How to fix it?

• "numpy._core.multiarray.scalar",
• "numpy.ndarray",
• "models.common.CBFuse",
• "models.yolo.DualDDetect",
• "models.common.SPPELAN",
• "models.common.DFL",
• "models.common.ADown",
• "models.yolo.DetectionModel",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleList",
• "models.common.RepNCSP",
• "models.common.SP",
• "models.common.Silence",
• "models.common.RepNBottleneck",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "numpy.dtype",
• "models.common.CBLinear",
• "torch.Size",
• "numpy._core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.Conv2d",
• "models.common.RepConvN",
• "models.common.RepNCSPELAN4",
• "models.common.Concat",
• "torch.HalfStorage",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "torch.FloatStorage",
• "__builtin__.set",
• "models.common.Conv",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.upsampling.Upsample",
• "_codecs.encode"

How to fix it?

• "numpy.ndarray",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "models.common.RepNBottleneck",
• "torch.HalfStorage",
• "torch.Size",
• "torch.nn.modules.conv.Conv2d",
• "models.common.RepNCSPELAN4",
• "models.common.RepNCSP",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "models.common.Concat",
• "__builtin__.set",
• "models.common.CBLinear",
• "numpy.dtype",
• "torch.nn.modules.activation.SiLU",
• "torch.FloatStorage",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "models.common.DFL",
• "models.common.Silence",
• "models.common.SP",
• "numpy._core.multiarray.scalar",
• "numpy._core.multiarray._reconstruct",
• "torch.LongStorage",
• "models.yolo.DualDDetect",
• "_codecs.encode",
• "models.common.CBFuse",
• "models.yolo.DetectionModel",
• "models.common.ADown",
• "models.common.Conv",
• "torch.nn.modules.upsampling.Upsample",
• "models.common.SPPELAN",
• "models.common.RepConvN"

How to fix it?

• "torch._utils._rebuild_tensor_v2",
• "numpy._core.multiarray.scalar",
• "torch.HalfStorage",
• "models.common.CBFuse",
• "models.yolo.DualDDetect",
• "torch.Size",
• "models.common.SP",
• "models.common.CBLinear",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.activation.SiLU",
• "models.common.RepConvN",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "__builtin__.set",
• "models.common.Conv",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.container.ModuleList",
• "models.common.ADown",
• "torch.FloatStorage",
• "models.common.RepNCSP",
• "models.common.RepNCSPELAN4",
• "torch.nn.modules.conv.Conv2d",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "torch.nn.modules.linear.Identity",
• "numpy.dtype",
• "models.common.SPPELAN",
• "models.common.RepNBottleneck",
• "torch.nn.modules.container.Sequential",
• "models.common.Concat",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "numpy._core.multiarray._reconstruct",
• "models.yolo.DetectionModel",
• "torch.LongStorage",
• "models.common.DFL",
• "numpy.ndarray",
• "_codecs.encode",
• "models.common.Silence"

How to fix it?