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geetest_captcha_v3_icon_tip_yolov9

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History: 2 commits

aucub

✨ feat: Implement YOLOv9 object detection using Gradio

eb3ae6d 2 months ago

data
✨ feat: Implement YOLOv9 object detection using Gradio 2 months ago
.gitattributes

1.52 kB

initial commit 2 months ago
README.md

255 Bytes

initial commit 2 months ago
app.py

3.37 kB

✨ feat: Implement YOLOv9 object detection using Gradio 2 months ago
requirements.txt

38 Bytes

✨ feat: Implement YOLOv9 object detection using Gradio 2 months ago
yolov9.onnx
102 MB
LFS

✨ feat: Implement YOLOv9 object detection using Gradio 2 months ago
yolov9.pt
Detected Pickle imports (33)
- "models.common.RepNCSP",
- "models.yolo.DDetect",
- "numpy.ndarray",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.HalfStorage",
- "models.common.RepNBottleneck",
- "torch.nn.modules.activation.SiLU",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.container.Sequential",
- "torch.FloatStorage",
- "collections.OrderedDict",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "numpy.core.multiarray._reconstruct",
- "__builtin__.set",
- "torch.nn.modules.upsampling.Upsample",
- "models.common.Conv",
- "torch._utils._rebuild_tensor_v2",
- "numpy.dtype",
- "models.common.RepConvN",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.container.ModuleList",
- "numpy.core.multiarray.scalar",
- "models.yolo.DetectionModel",
- "models.common.Concat",
- "models.common.DFL",
- "torch.Size",
- "models.common.RepNCSPELAN4",
- "models.common.ADown",
- "torch.LongStorage",
- "models.common.SPPELAN",
- "models.common.SP",
- "_codecs.encode"
How to fix it?
205 MB
LFS

✨ feat: Implement YOLOv9 object detection using Gradio 2 months ago
yolov9_infer.onnx
101 MB
LFS

✨ feat: Implement YOLOv9 object detection using Gradio 2 months ago
yolov9_striped.onnx
102 MB
LFS

✨ feat: Implement YOLOv9 object detection using Gradio 2 months ago
yolov9_striped.pt
Detected Pickle imports (28)
- "models.common.RepNCSP",
- "models.yolo.DDetect",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.HalfStorage",
- "models.common.RepNBottleneck",
- "torch.nn.modules.activation.SiLU",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.container.Sequential",
- "torch.FloatStorage",
- "collections.OrderedDict",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "__builtin__.set",
- "torch.nn.modules.upsampling.Upsample",
- "models.common.Conv",
- "torch._utils._rebuild_tensor_v2",
- "models.common.RepConvN",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.container.ModuleList",
- "models.yolo.DetectionModel",
- "models.common.Concat",
- "models.common.DFL",
- "torch.Size",
- "models.common.RepNCSPELAN4",
- "models.common.ADown",
- "torch.LongStorage",
- "models.common.SPPELAN",
- "models.common.SP"
How to fix it?
51.5 MB
LFS

✨ feat: Implement YOLOv9 object detection using Gradio 2 months ago