Fetching metadata from the HF Docker repository...
Update app.py
abfc512
verified
-
3.35 kB
Rename sample_o_1.dcm to sample_o_6.dcm
-
317 Bytes
initial commit
-
11.2 kB
Update app.py
model.pt
Detected Pickle imports (30)
- "ultralytics.utils.IterableSimpleNamespace",
- "ultralytics.nn.modules.conv.Conv",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.upsampling.Upsample",
- "ultralytics.nn.modules.block.C2f",
- "torch.nn.modules.container.ModuleList",
- "torch.Size",
- "torch.FloatStorage",
- "ultralytics.utils.loss.v8DetectionLoss",
- "torch._utils._rebuild_tensor_v2",
- "ultralytics.nn.modules.block.DFL",
- "torch.device",
- "torch.HalfStorage",
- "ultralytics.utils.tal.TaskAlignedAssigner",
- "torch.nn.modules.container.Sequential",
- "ultralytics.nn.modules.conv.Concat",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.LongStorage",
- "ultralytics.nn.tasks.DetectionModel",
- "torch.nn.modules.loss.BCEWithLogitsLoss",
- "ultralytics.utils.loss.BboxLoss",
- "torch.nn.modules.activation.SiLU",
- "ultralytics.utils.loss.DFLoss",
- "__builtin__.set",
- "ultralytics.nn.modules.block.SPPF",
- "ultralytics.nn.modules.head.Detect",
- "collections.OrderedDict",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "ultralytics.nn.modules.block.Bottleneck",
- "torch.nn.modules.conv.Conv2d"
How to fix it?
18.5 MB
Upload model.pt
-
179 Bytes
Update requirements.txt
-
176 kB
Rename IM00006.dcm to sample_n_1.dcm
-
175 kB
Rename IM00006.dcm to sample_n_2.dcm
-
183 kB
Rename IM00006.dcm to sample_n_3.dcm
-
174 kB
Rename IM00006.dcm to sample_n_4.dcm
-
175 kB
Rename IM00006.dcm to sample_n_5.dcm
-
173 kB
Rename sample_o_2.dcm to sample_o_1.dcm
-
158 kB
Rename sample_o_6.dcm to sample_o_2.dcm
-
172 kB
Rename IM00005.dcm to sample_o_3.dcm
-
198 kB
Rename IM00006.dcm to sample_o_4.dcm
-
173 kB
Rename IM00006.dcm to sample_o_5.dcm