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thermal_image_object_detection
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thermal_image_object_detection
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30 commits
nehulagrawal
Rename samples/2.JPG to samples/2.jpg
6fe0703
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samples
Rename samples/2.JPG to samples/2.jpg
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.gitattributes
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initial commit
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.gitignore
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README.md
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initial commit
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app.py
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Update app.py
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best.pt
pickle
Detected Pickle imports (29)
"ultralytics.nn.modules.block.SPPF"
,
"torch.Size"
,
"torch.nn.modules.activation.SiLU"
,
"torch.LongStorage"
,
"ultralytics.utils.loss.BboxLoss"
,
"ultralytics.utils.loss.v8DetectionLoss"
,
"ultralytics.utils.IterableSimpleNamespace"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.nn.modules.loss.BCEWithLogitsLoss"
,
"ultralytics.nn.modules.conv.Concat"
,
"ultralytics.nn.modules.head.Detect"
,
"ultralytics.nn.modules.block.Bottleneck"
,
"ultralytics.utils.tal.TaskAlignedAssigner"
,
"torch.nn.modules.container.ModuleList"
,
"ultralytics.nn.modules.block.DFL"
,
"ultralytics.nn.tasks.DetectionModel"
,
"torch.FloatStorage"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"torch.nn.modules.conv.Conv2d"
,
"torch._utils._rebuild_parameter"
,
"torch.nn.modules.container.Sequential"
,
"collections.OrderedDict"
,
"dill._dill._load_type"
,
"ultralytics.nn.modules.conv.Conv"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"ultralytics.nn.modules.block.C2f"
,
"torch.device"
,
"torch.HalfStorage"
,
"torch.nn.modules.upsampling.Upsample"
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requirements.txt
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