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nithin9000

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blooddetection

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Runtime error

• "ultralytics.nn.tasks.ClassificationModel",
• "collections.OrderedDict",
• "ultralytics.nn.modules.conv.Conv",
• "torch.nn.modules.conv.Conv2d",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.nn.modules.block.C2f",
• "torchvision.transforms.transforms.CenterCrop",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.dropout.Dropout",
• "torchvision.transforms.transforms.Normalize",
• "torch.HalfStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.linear.Linear",
• "torch.FloatStorage",
• "torch.LongStorage",
• "torchvision.transforms.transforms.ToTensor",
• "__builtin__.set",
• "torchvision.transforms.transforms.Compose",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "torchvision.transforms.functional.InterpolationMode",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.head.Classify",
• "torch.nn.modules.activation.SiLU",
• "torchvision.transforms.transforms.Resize"

How to fix it?

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

How to fix it?