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Assignment-15_YOLO
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Copy_of_train_yolov9_object_detection_on_custom_dataset.ipynb
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README.md
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app.py
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augmentations.py
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best.pt
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Detected Pickle imports (33)
"torch.nn.modules.container.Sequential"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"torch.nn.modules.container.ModuleList"
,
"numpy.core.multiarray._reconstruct"
,
"models.common.RepNBottleneck"
,
"torch.FloatStorage"
,
"numpy.core.multiarray.scalar"
,
"models.yolo.DDetect"
,
"models.common.ADown"
,
"torch.nn.modules.activation.SiLU"
,
"collections.OrderedDict"
,
"models.common.Conv"
,
"models.common.Concat"
,
"torch.LongStorage"
,
"numpy.dtype"
,
"__builtin__.set"
,
"models.common.RepNCSPELAN4"
,
"models.common.SPPELAN"
,
"torch.HalfStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"models.common.RepNCSP"
,
"models.yolo.DetectionModel"
,
"numpy.ndarray"
,
"torch._utils._rebuild_parameter"
,
"models.common.RepConvN"
,
"torch.nn.modules.conv.Conv2d"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"torch.nn.modules.linear.Identity"
,
"torch.nn.modules.upsampling.Upsample"
,
"models.common.DFL"
,
"models.common.SP"
,
"torch.Size"
,
"_codecs.encode"
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datasets.py
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img1.jpg
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requirements.txt
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resnet.py
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training_utils.py
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utils.py
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