Addax-Data-Science

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Iran_v1

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

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