Update config.json
e45eea7 verified - ax620e Upload ax_yolov8
- ax637 Upload yolov8.axmodel
- ax650 Upload ax_yolov8
- axcl_aarch64 update axcl_yolov8 (#1)
- axcl_x86_64 add axcl
- 2.12 kB Upload yolov8.axmodel
- 3.94 kB add axcl
- 5.47 MB Upload 3 files
- 0 Bytes Update config.json
- 329 Bytes initial the models of yolov8 using ax650&ax620e
- 325 kB Upload 3 files
- 295 Bytes initial the models of yolov8 using ax650&ax620e
- 602 kB add axcl
- 965 Bytes initial the models of yolov8 using ax650&ax620e
- 602 kB Upload 3 files
- 44.7 MB initial the models of yolov8 using ax650&ax620e
- 44.9 MB initial the models of yolov8 using ax650&ax620e
yolov8s.pt Detected Pickle imports (23)
- "torch.nn.modules.activation.SiLU",
- "ultralytics.nn.modules.block.DFL",
- "torch.FloatStorage",
- "ultralytics.nn.modules.block.Bottleneck",
- "torch.nn.modules.container.Sequential",
- "torch.Size",
- "ultralytics.nn.modules.conv.Concat",
- "__builtin__.set",
- "torch.nn.modules.pooling.MaxPool2d",
- "ultralytics.nn.tasks.DetectionModel",
- "ultralytics.nn.modules.block.SPPF",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.LongStorage",
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "ultralytics.nn.modules.block.C2f",
- "torch.HalfStorage",
- "torch.nn.modules.container.ModuleList",
- "torch._utils._rebuild_parameter",
- "ultralytics.nn.modules.head.Detect",
- "torch.nn.modules.upsampling.Upsample",
- "ultralytics.nn.modules.conv.Conv",
- "torch.nn.modules.conv.Conv2d"
How to fix it?
22.6 MB initial the models of yolov8 using ax650&ax620e
