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.gitattributes

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README.md

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app (1).py

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app.py

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app_utils.py

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base_line_best_model_exp5.pt
Detected Pickle imports (27)
- "torch.nn.modules.container.Sequential",
- "__builtin__.set",
- "numpy.dtype",
- "torch.nn.modules.container.ModuleList",
- "numpy.ndarray",
- "torch.LongStorage",
- "torch.HalfStorage",
- "torch.DoubleStorage",
- "models.common.Bottleneck",
- "models.yolo.Model",
- "torch.FloatStorage",
- "models.common.SPP",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.nn.modules.activation.SiLU",
- "torch.nn.modules.pooling.MaxPool2d",
- "models.common.Conv",
- "models.common.C3",
- "torch._utils._rebuild_parameter",
- "torch._utils._rebuild_tensor_v2",
- "models.common.Focus",
- "numpy.core.multiarray._reconstruct",
- "models.common.Concat",
- "torch.nn.modules.upsampling.Upsample",
- "_codecs.encode",
- "torch.nn.modules.conv.Conv2d",
- "models.yolo.Detect",
- "collections.OrderedDict"
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best_sku_model.pt
Detected Pickle imports (21)
- "torch.nn.modules.container.Sequential",
- "__builtin__.set",
- "torch.nn.modules.container.ModuleList",
- "torch.LongStorage",
- "torch.HalfStorage",
- "models.common.Bottleneck",
- "torch.FloatStorage",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.nn.modules.activation.SiLU",
- "torch.nn.modules.pooling.MaxPool2d",
- "models.common.Conv",
- "models.common.C3",
- "torch._utils._rebuild_parameter",
- "torch._utils._rebuild_tensor_v2",
- "models.common.SPPF",
- "models.common.Concat",
- "torch.nn.modules.upsampling.Upsample",
- "torch.nn.modules.conv.Conv2d",
- "models.yolo.Detect",
- "models.yolo.DetectionModel",
- "collections.OrderedDict"
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14.4 MB
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inference.py

8.44 kB

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master_tmp.png

18.8 MB
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requirements.txt

960 Bytes

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to_score_planogram_tmp.png

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