raphael0202

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amenity-website-images

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• "ultralytics.nn.modules.block.Bottleneck",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "collections.OrderedDict",
• "__builtin__.getattr",
• "torch.HalfStorage",
• "numpy.random.bit_generator.SeedSequence",
• "numpy.ndarray",
• "ultralytics.nn.tasks.ClassificationModel",
• "torch.LongStorage",
• "__builtin__.set",
• "albumentations.augmentations.pixel.transforms.Normalize",
• "albumentations.core.composition.Compose",
• "_codecs.encode",
• "numpy.random._pcg64.PCG64",
• "ultralytics.nn.modules.head.Classify",
• "torch.FloatStorage",
• "numpy.random._pickle.__generator_ctor",
• "torch.nn.modules.container.ModuleList",
• "numpy.random._pickle.__bit_generator_ctor",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "ultralytics.nn.modules.block.C2f",
• "torch.nn.modules.conv.Conv2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.Sequential",
• "ultralytics.nn.modules.conv.Conv",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.dropout.Dropout",
• "numpy._core.multiarray._reconstruct",
• "albumentations.augmentations.geometric.pad.PadIfNeeded",
• "albumentations.pytorch.transforms.ToTensorV2",
• "pathlib.PosixPath",
• "albumentations.augmentations.geometric.resize.LongestMaxSize",
• "torch.nn.modules.activation.SiLU",
• "numpy.dtype",
• "numpy.random.bit_generator.__pyx_unpickle_SeedSequence",
• "random.Random"

How to fix it?

• "torch.nn.modules.conv.Conv2d",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.activation.SiLU",
• "albumentations.augmentations.pixel.transforms.Normalize",
• "numpy.dtype",
• "albumentations.pytorch.transforms.ToTensorV2",
• "collections.OrderedDict",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.nn.modules.conv.Conv",
• "random.Random",
• "numpy.random.bit_generator.SeedSequence",
• "numpy.ndarray",
• "ultralytics.nn.modules.block.C2f",
• "numpy.random.bit_generator.__pyx_unpickle_SeedSequence",
• "numpy.random._pickle.__bit_generator_ctor",
• "ultralytics.nn.tasks.ClassificationModel",
• "torch.LongStorage",
• "torch.nn.modules.container.Sequential",
• "__builtin__.getattr",
• "numpy.random._pcg64.PCG64",
• "numpy.random._pickle.__generator_ctor",
• "__builtin__.set",
• "numpy._core.multiarray._reconstruct",
• "_codecs.encode",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.FloatStorage",
• "albumentations.augmentations.geometric.pad.PadIfNeeded",
• "pathlib.PosixPath",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.ModuleList",
• "albumentations.augmentations.geometric.resize.LongestMaxSize",
• "albumentations.core.composition.Compose",
• "torch.nn.modules.linear.Linear",
• "ultralytics.nn.modules.head.Classify",
• "torch.nn.modules.dropout.Dropout",
• "torch.HalfStorage"

How to fix it?