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data
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deep_sort_pytorch
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models
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strong_sort
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utils
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.gitattributes

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.gitignore

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README.md

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app.py

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benchmarks.py

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best_model-converted.pt
Detected Pickle imports (40)
- "models.common.CBLinear",
- "models.common.RepDCNv2CSP",
- "models.common.SP",
- "models.attention.blocks.RepNLSK",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.linear.Identity",
- "models.yolo.DualDDetect",
- "models.yolo.DetectionModel",
- "torch._utils._rebuild_tensor_v2",
- "models.common.RepConvN",
- "__builtin__.set",
- "models.common.Concat",
- "models.common.SPPELAN",
- "models.common.Bottleneck_DCNv2",
- "torch.LongStorage",
- "models.common.RepNBottleneck",
- "models.attention.blocks.LSKBottleneck",
- "torch.nn.modules.upsampling.Upsample",
- "models.common.CBFuse",
- "torch.nn.modules.activation.SiLU",
- "models.common.ADown",
- "torch._utils._rebuild_parameter",
- "models.common.RepDCNv2Bottleneck",
- "models.common.RepNCSPELAN4",
- "collections.OrderedDict",
- "torch.nn.modules.container.ModuleList",
- "models.common.DFL",
- "torch.Size",
- "models.attention.blocks.RepNLSKELAN4",
- "torch.FloatStorage",
- "models.attention.blocks.LSKblock",
- "models.common.Conv",
- "models.common.RepDCNv2LEAN4",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.nn.modules.container.Sequential",
- "models.common.DCNv2",
- "models.common.RepNCSP",
- "models.common.Silence",
- "torch.HalfStorage"
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detect.py

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detect_deepsort.py

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detect_dual.py

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detect_strongsort.py

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export.py

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hubconf.py

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last_best_model.pt
Detected Pickle imports (40)
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.HalfStorage",
- "models.common.Silence",
- "torch.nn.modules.activation.SiLU",
- "torch.LongStorage",
- "models.common.SP",
- "__builtin__.set",
- "torch.nn.modules.upsampling.Upsample",
- "torch.nn.modules.linear.Identity",
- "models.yolo.DetectionModel",
- "models.common.Bottleneck_DCNv2",
- "models.attention.blocks.LSKblock",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "models.common.DFL",
- "models.common.RepNCSP",
- "models.common.ADown",
- "models.common.CBFuse",
- "torch.FloatStorage",
- "models.common.RepConvN",
- "models.common.RepDCNv2CSP",
- "models.attention.blocks.LSKBottleneck",
- "torch.Size",
- "models.yolo.DualDDetect",
- "models.attention.blocks.RepNLSKELAN4",
- "models.common.DCNv2",
- "models.attention.blocks.RepNLSK",
- "models.common.SPPELAN",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.conv.Conv2d",
- "models.common.Concat",
- "models.common.RepDCNv2Bottleneck",
- "models.common.CBLinear",
- "models.common.RepNCSPELAN4",
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.container.Sequential",
- "models.common.RepDCNv2LEAN4",
- "models.common.RepNBottleneck",
- "torch._utils._rebuild_parameter",
- "models.common.Conv",
- "collections.OrderedDict"
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osnet_x0_25_msmt17.pt
Detected Pickle imports (4)
- "torch._utils._rebuild_tensor_v2",
- "collections.OrderedDict",
- "torch.FloatStorage",
- "torch.LongStorage"
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9.34 MB
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our-converted.pt
Detected Pickle imports (39)
- "torch.LongStorage",
- "models.attention.blocks.LSKBottleneck",
- "models.common.Concat",
- "models.yolo.DDetect",
- "models.common.RepConvN",
- "models.common.DFL",
- "models.common.Conv",
- "models.common.Bottleneck_DCNv2",
- "torch.nn.modules.container.Sequential",
- "torch.nn.modules.conv.Conv2d",
- "models.common.RepNCSP",
- "torch.nn.modules.container.ModuleList",
- "torch._utils._rebuild_tensor_v2",
- "models.common.RepNCSPELAN4",
- "collections.OrderedDict",
- "models.yolo.DetectionModel",
- "models.common.ADown",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.nn.modules.activation.SiLU",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "models.common.RepDCNv2CSP",
- "models.common.CBLinear",
- "torch.HalfStorage",
- "models.common.RepDCNv2LEAN4",
- "torch.nn.modules.upsampling.Upsample",
- "models.common.CBFuse",
- "models.common.SP",
- "__builtin__.set",
- "models.common.Silence",
- "models.common.RepNBottleneck",
- "models.attention.blocks.RepNLSKELAN4",
- "models.common.DCNv2",
- "torch._utils._rebuild_parameter",
- "models.common.RepDCNv2Bottleneck",
- "models.common.SPPELAN",
- "torch.FloatStorage",
- "models.attention.blocks.RepNLSK",
- "models.attention.blocks.LSKblock"
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requirements.txt

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yolov9_e_trained-converted.pt
Detected Pickle imports (30)
- "models.common.SP",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch._utils._rebuild_parameter",
- "models.common.RepNCSPELAN4",
- "models.common.CBFuse",
- "torch.nn.modules.upsampling.Upsample",
- "torch._utils._rebuild_tensor_v2",
- "torch.FloatStorage",
- "models.common.SPPELAN",
- "torch.nn.modules.container.ModuleList",
- "models.common.DFL",
- "torch.nn.modules.linear.Identity",
- "collections.OrderedDict",
- "models.common.ADown",
- "torch.LongStorage",
- "models.yolo.DDetect",
- "torch.nn.modules.container.Sequential",
- "models.common.Conv",
- "models.common.RepNBottleneck",
- "models.yolo.DetectionModel",
- "__builtin__.set",
- "models.common.Silence",
- "models.common.CBLinear",
- "models.common.RepNCSP",
- "torch.nn.modules.activation.SiLU",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.HalfStorage",
- "models.common.Concat",
- "models.common.RepConvN"
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yolov9_e_trained.pt
Detected Pickle imports (31)
- "torch._utils._rebuild_parameter",
- "models.common.RepNCSP",
- "models.common.CBFuse",
- "models.common.Concat",
- "torch.nn.modules.container.Sequential",
- "models.common.RepNBottleneck",
- "torch._utils._rebuild_tensor_v2",
- "torch.LongStorage",
- "models.common.DFL",
- "__builtin__.set",
- "torch.HalfStorage",
- "torch.nn.modules.linear.Identity",
- "models.common.SPPELAN",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.activation.SiLU",
- "models.yolo.DetectionModel",
- "collections.OrderedDict",
- "torch.nn.modules.conv.Conv2d",
- "models.common.Silence",
- "torch.nn.modules.upsampling.Upsample",
- "models.common.CBLinear",
- "models.common.SP",
- "models.common.RepConvN",
- "models.common.RepNCSPELAN4",
- "torch.Size",
- "models.common.Conv",
- "torch.FloatStorage",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "models.yolo.DualDDetect",
- "models.common.ADown"
How to fix it?
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