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lg227210
/
anomaly-detection-yolov8s
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0
Object Detection
Core ML
ONNX
yolo
yolov8
anomaly-detection
industrial-inspection
gas-infrastructure
License:
commercial
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anomaly-detection-yolov8s
493 MB
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1 contributor
History:
35 commits
lg227210
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best.mlpackage
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best_v11.mlpackage
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.gitattributes
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README.md
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anomaly_v2_results.csv
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best.onnx
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best.pt
pickle
Detected Pickle imports (24)
"torch.nn.modules.pooling.MaxPool2d"
,
"ultralytics.nn.modules.block.SPPF"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"torch.LongStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"ultralytics.nn.modules.conv.Concat"
,
"torch.Size"
,
"torch.nn.modules.upsampling.Upsample"
,
"torch.FloatStorage"
,
"torch.nn.modules.linear.Identity"
,
"torch.nn.modules.container.ModuleList"
,
"ultralytics.nn.modules.block.DFL"
,
"torch.HalfStorage"
,
"ultralytics.nn.modules.head.Detect"
,
"ultralytics.nn.tasks.DetectionModel"
,
"ultralytics.nn.modules.block.C2f"
,
"collections.OrderedDict"
,
"torch.nn.modules.conv.Conv2d"
,
"torch._utils._rebuild_parameter"
,
"__builtin__.set"
,
"ultralytics.nn.modules.block.Bottleneck"
,
"ultralytics.nn.modules.conv.Conv"
,
"torch.nn.modules.activation.SiLU"
,
"torch.nn.modules.container.Sequential"
How to fix it?
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best.torchscript
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44.9 MB
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best_v11.onnx
44.8 MB
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best_v11.pt
pickle
Detected Pickle imports (24)
"ultralytics.nn.tasks.DetectionModel"
,
"torch.Size"
,
"ultralytics.nn.modules.conv.Conv"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"torch.nn.modules.linear.Identity"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.nn.modules.activation.SiLU"
,
"torch.nn.modules.container.Sequential"
,
"torch.nn.modules.upsampling.Upsample"
,
"ultralytics.nn.modules.block.DFL"
,
"ultralytics.nn.modules.block.C2f"
,
"ultralytics.nn.modules.head.Detect"
,
"collections.OrderedDict"
,
"torch.HalfStorage"
,
"torch.FloatStorage"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"torch.nn.modules.container.ModuleList"
,
"ultralytics.nn.modules.block.Bottleneck"
,
"torch._utils._rebuild_parameter"
,
"torch.LongStorage"
,
"torch.nn.modules.conv.Conv2d"
,
"ultralytics.nn.modules.conv.Concat"
,
"__builtin__.set"
,
"ultralytics.nn.modules.block.SPPF"
How to fix it?
22.5 MB
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best_v11.torchscript
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44.9 MB
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3 months ago
best_v13.onnx
44.8 MB
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best_v13.pt
pickle
Detected Pickle imports (24)
"ultralytics.nn.modules.head.Detect"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"torch.Size"
,
"torch.nn.modules.linear.Identity"
,
"torch.HalfStorage"
,
"torch.nn.modules.activation.SiLU"
,
"ultralytics.nn.modules.block.SPPF"
,
"torch.nn.modules.container.Sequential"
,
"torch.FloatStorage"
,
"torch.nn.modules.conv.Conv2d"
,
"__builtin__.set"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.nn.modules.container.ModuleList"
,
"torch.LongStorage"
,
"ultralytics.nn.modules.block.C2f"
,
"ultralytics.nn.tasks.DetectionModel"
,
"torch.nn.modules.upsampling.Upsample"
,
"ultralytics.nn.modules.conv.Conv"
,
"torch._utils._rebuild_parameter"
,
"ultralytics.nn.modules.conv.Concat"
,
"ultralytics.nn.modules.block.DFL"
,
"ultralytics.nn.modules.block.Bottleneck"
,
"collections.OrderedDict"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
How to fix it?
22.5 MB
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3 months ago
best_v13.torchscript
44.9 MB
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3 months ago
best_v2.onnx
44.8 MB
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best_v2.pt
pickle
Detected Pickle imports (24)
"collections.OrderedDict"
,
"torch.nn.modules.conv.Conv2d"
,
"torch.HalfStorage"
,
"ultralytics.nn.modules.conv.Concat"
,
"ultralytics.nn.modules.block.DFL"
,
"ultralytics.nn.modules.head.Detect"
,
"__builtin__.set"
,
"torch._utils._rebuild_parameter"
,
"ultralytics.nn.modules.conv.Conv"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"torch.nn.modules.upsampling.Upsample"
,
"torch.LongStorage"
,
"torch.nn.modules.activation.SiLU"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"ultralytics.nn.modules.block.C2f"
,
"torch.nn.modules.linear.Identity"
,
"torch.Size"
,
"ultralytics.nn.modules.block.Bottleneck"
,
"torch.nn.modules.container.Sequential"
,
"ultralytics.nn.modules.block.SPPF"
,
"torch.FloatStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.nn.modules.container.ModuleList"
,
"ultralytics.nn.tasks.DetectionModel"
How to fix it?
22.5 MB
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3 months ago
infer.py
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