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caltech-fish-counting

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fisheye-experimental

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Runtime error

• "models.common.C3",
• "torch.nn.modules.activation.SiLU",
• "numpy.dtype",
• "models.yolo.DetectionModel",
• "numpy.core.multiarray.scalar",
• "models.common.Bottleneck",
• "_codecs.encode",
• "__builtin__.set",
• "models.common.Concat",
• "models.common.SPPF",
• "numpy.ndarray",
• "models.common.Conv",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.conv.Conv2d",
• "torch.LongStorage",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.FloatStorage",
• "torch.HalfStorage",
• "models.yolo.Detect",
• "collections.OrderedDict",
• "torch.nn.modules.upsampling.Upsample",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch._utils._rebuild_tensor_v2"

How to fix it?

• "models.yolo.DetectionModel",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.HalfStorage",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_parameter",
• "models.yolo.Detect",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.SiLU",
• "models.common.Concat",
• "__builtin__.set",
• "torch._utils._rebuild_tensor_v2",
• "torch.FloatStorage",
• "models.common.Conv",
• "models.common.SPPF",
• "models.common.Bottleneck",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "models.common.C3"

How to fix it?

• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.FloatStorage",
• "torch.HalfStorage",
• "torch.nn.modules.upsampling.Upsample",
• "__builtin__.set",
• "models.common.SPPF",
• "torch.nn.modules.activation.SiLU",
• "models.yolo.DetectionModel",
• "torch.LongStorage",
• "models.common.Bottleneck",
• "models.common.Concat",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "models.common.C3",
• "torch.nn.modules.conv.Conv2d",
• "models.yolo.Detect",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.Conv",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.container.ModuleList"

How to fix it?

• "torch.nn.modules.conv.Conv2d",
• "collections.OrderedDict",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.Conv",
• "torch.nn.modules.upsampling.Upsample",
• "models.yolo.Detect",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch.nn.modules.container.Sequential",
• "models.yolo.Model",
• "models.common.Concat",
• "torch.DoubleStorage",
• "models.common.Bottleneck",
• "numpy.core.multiarray.scalar",
• "torch._utils._rebuild_parameter",
• "models.common.SPPF",
• "numpy.dtype",
• "torch.HalfStorage",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.LongStorage",
• "_codecs.encode",
• "torch.FloatStorage",
• "torch.nn.modules.container.ModuleList",
• "__builtin__.set",
• "models.common.C3",
• "torch.nn.modules.activation.SiLU"

How to fix it?