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Addax-Data-Science
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Iran_v1
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cc-by-nc-sa-4.0
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Iran_v1
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Addax-Data-Science
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iran_v1.pt
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pickle
Detected Pickle imports (61)
"torchvision.transforms.transforms.Normalize"
,
"torch.nn.modules.activation.SiLU"
,
"dill._dill._create_function"
,
"collections.OrderedDict"
,
"torch.nn.modules.pooling.AdaptiveAvgPool2d"
,
"torch.nn.modules.dropout.Dropout"
,
"dill._dill._load_type"
,
"ultralytics.nn.modules.block.Bottleneck"
,
"multiprocessing.pool.ThreadPool"
,
"__builtin__.setattr"
,
"dill._dill._create_cell"
,
"tarfile.is_tarfile"
,
"copy.deepcopy"
,
"torch.HalfStorage"
,
"ultralytics.nn.tasks.ClassificationModel"
,
"dill._dill._eval_repr"
,
"torchvision.transforms.transforms.Compose"
,
"ultralytics.utils.downloads.download"
,
"ultralytics.utils.checks.check_font"
,
"ultralytics.nn.modules.conv.Conv"
,
"ultralytics.utils.metrics.bbox_ioa"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"builtins.__dict__"
,
"ultralytics.utils.colorstr"
,
"torch.FloatStorage"
,
"ultralytics.utils.checks.check_file"
,
"dill._dill._import_module"
,
"ultralytics.nn.modules.head.Classify"
,
"__builtin__.getattr"
,
"dill._dill._create_code"
,
"PIL.Image.Image"
,
"ultralytics.utils.emojis"
,
"ultralytics.utils.checks.is_ascii"
,
"ultralytics.utils.ops.segments2boxes"
,
"torch._utils._rebuild_parameter"
,
"ultralytics.utils.yaml_load"
,
"torch.nn.modules.container.ModuleList"
,
"pathlib.WindowsPath"
,
"ultralytics.utils.clean_url"
,
"torch._utils._rebuild_tensor_v2"
,
"ultralytics.nn.autobackend.check_class_names"
,
"ultralytics.utils.downloads.unzip_file"
,
"ultralytics.utils.yaml_save"
,
"pathlib.Path"
,
"ultralytics.nn.modules.block.C2f"
,
"_frozen_importlib.ModuleSpec"
,
"dill._dill"
,
"ultralytics.utils.TQDM"
,
"dill._dill._create_type"
,
"_frozen_importlib_external.SourceFileLoader"
,
"ultralytics.utils.loss.v8ClassificationLoss"
,
"ultralytics.utils.ops.segment2box"
,
"ultralytics.utils.downloads.safe_download"
,
"torch.LongStorage"
,
"torch.nn.modules.container.Sequential"
,
"torch.nn.modules.linear.Linear"
,
"ultralytics.utils.checks.check_version"
,
"ultralytics.utils.instance.Instances"
,
"_codecs.encode"
,
"logging.getLogger"
,
"torch.nn.modules.conv.Conv2d"
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