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Update app.py
7dbe229 verified - 1.52 kB initial commit
- 11 Bytes Example Added
- 35.1 kB Add Streamlit app for object detection
- 253 Bytes initial commit
- 1.9 kB Update app.py
- 6.27 kB Add Streamlit app for object detection
- 12.2 kB Add Streamlit app for object detection
- 12.3 kB Add Streamlit app for object detection
- 285 kB Example Added
- 32.3 kB Add Streamlit app for object detection
- 4.66 kB Add Streamlit app for object detection
- 1.12 kB Add Streamlit app for object detection
- 33.8 kB Add Streamlit app for object detection
- 34.3 kB Add Streamlit app for object detection
- 33.8 kB Add Streamlit app for object detection
- 19.5 kB Add Streamlit app for object detection
- 19.6 kB Add Streamlit app for object detection
- 19.5 kB Add Streamlit app for object detection
yolov8n.pt Detected Pickle imports (23)
- "torch.nn.modules.activation.SiLU",
- "torch.Size",
- "collections.OrderedDict",
- "ultralytics.nn.modules.DFL",
- "ultralytics.nn.modules.C2f",
- "torch._utils._rebuild_tensor_v2",
- "torch.HalfStorage",
- "torch.nn.modules.conv.Conv2d",
- "ultralytics.nn.modules.Concat",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.container.Sequential",
- "__builtin__.set",
- "torch.FloatStorage",
- "torch.nn.modules.upsampling.Upsample",
- "ultralytics.nn.modules.Conv",
- "torch.LongStorage",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "ultralytics.nn.tasks.DetectionModel",
- "ultralytics.nn.modules.Bottleneck",
- "ultralytics.nn.modules.Detect",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.nn.modules.container.ModuleList",
- "ultralytics.nn.modules.SPPF"
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6.53 MB Add Streamlit app for object detection
