shamsfathalla

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Car_Damage_Detection

like 0

• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray",
• "sklearn.preprocessing._label.LabelEncoder",
• "None.dtype",
• "numpy.dtype",
• "numpy._core.multiarray._reconstruct"

How to fix it?

• "numpy.ndarray",
• "sklearn.preprocessing._data.StandardScaler",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype",
• "numpy._core.multiarray.scalar"

How to fix it?

• "sklearn.svm._classes.SVC",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?

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

How to fix it?