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m7mdal7aj/KB-VQA
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KB-VQA-E
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KB-VQA-E
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yolov5
1 contributor
History:
1 commit
m7mdal7aj
uploading a fresh copy of the detection models
92894b3
verified
6 months ago
.github
uploading a fresh copy of the detection models
6 months ago
__pycache__
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6 months ago
classify
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data
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models
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segment
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utils
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.dockerignore
3.7 kB
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.gitattributes
75 Bytes
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.gitignore
4 kB
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CITATION.cff
393 Bytes
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CONTRIBUTING.md
5 kB
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LICENSE
34.5 kB
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README.md
42.1 kB
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README.zh-CN.md
42.2 kB
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benchmarks.py
7.87 kB
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detect.py
15.9 kB
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export.py
41 kB
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hubconf.py
7.87 kB
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pyproject.toml
5.36 kB
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requirements.txt
1.57 kB
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train.py
39.2 kB
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tutorial.ipynb
41.4 kB
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val.py
20.3 kB
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yolov5s.pt
pickle
Detected Pickle imports (22)
"collections.OrderedDict"
,
"models.yolo.Model"
,
"models.common.Concat"
,
"torch.nn.modules.upsampling.Upsample"
,
"models.yolo.Detect"
,
"__builtin__.set"
,
"models.common.C3"
,
"torch.nn.modules.activation.SiLU"
,
"torch.LongStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"models.common.Conv"
,
"torch.nn.modules.conv.Conv2d"
,
"torch.DoubleStorage"
,
"torch.nn.modules.container.ModuleList"
,
"models.common.Bottleneck"
,
"models.common.SPPF"
,
"torch.nn.modules.pooling.MaxPool2d"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"torch._utils._rebuild_parameter"
,
"torch.nn.modules.container.Sequential"
,
"torch.HalfStorage"
,
"torch.FloatStorage"
How to fix it?
14.8 MB
LFS
uploading a fresh copy of the detection models
6 months ago