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34 Open 4 Closed
34 Open 4 Closed
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Issues list

无法安装依赖mxnet~=1.8.0.post0 与sklearn~=0.0 要求版本
#40 opened Apr 10, 2024 by mgmpmd
What's the meaning of "The content of “property” file for “ms1m_retinaface” dataset is as follows: "93431,112,112""
#39 opened Aug 22, 2023 by Cassieyy
4
readme中预训练模型的权重是用哪些数据集训练的？
#38 opened Jul 15, 2023 by bjzhb666
Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1! (when checking argument for argument index in method wrapper_CUDA_scatter__value)
#37 opened Jun 6, 2023 by azizyemen1
Is there no image normalization/pre-processing?
#36 opened May 25, 2023 by arunsubk
Can i train this model with a dataset other than ms1m-retinaface
#35 opened Nov 8, 2022 by Nehalalotaiby
1
IJB-C Evaluation
#34 opened Aug 31, 2022 by junwah712
Requirements problem
#33 opened Jul 25, 2022 by ghost
GPU运行
#32 opened May 29, 2022 by fenfen111
2
visualize the data
#31 opened May 20, 2022 by mtk380
2
请问一下数据增强
#30 opened Apr 22, 2022 by supersyz
1
请问能用自己的数据集进行训练吗，需要做什么处理吗？
#29 opened Apr 6, 2022 by epns
Reproduce
#28 opened Feb 3, 2022 by zws98
6
Latency and memory usage?
#27 opened Jan 18, 2022 by johnnysclai
1
你好 打算复现您的代码，请问这个怎么解决？ 报错（在 '__init__.py' 中找不到引用 'vit_face'）
#24 opened Dec 23, 2021 by zydongmingyu
3
Python version not mentioned
#22 opened Nov 25, 2021 by aasharib
3
您好 最近在忙自己的论文 看到您发的这个论文感觉有很多值得借鉴的地方 想复现一下 想请问一下 图片切分成重叠的patch 这样做的目的是什么？
#21 opened Nov 18, 2021 by zydongmingyu
2
请问这个训练做了预处理吗？直接用的0-255做的输入吗？
#20 opened Nov 18, 2021 by tianxingyzxq
2
关于遮挡鲁棒性 About occlusion robustness
#19 opened Nov 17, 2021 by ygtxr1997
4
为什么不直接使用 insightface项目
#17 opened Oct 19, 2021 by eeric
11
Only feature extraction
#16 opened Sep 23, 2021 by Aravinda27
1
One GPU is working during Evaluation
#15 opened Jul 6, 2021 by khawar-islam
1
Missing IJB-C dataset
#14 opened Jun 29, 2021 by khawar-islam
4
Source of DATA_ROOT?
#12 opened Jun 23, 2021 by Martlgap
2
Create .bin file for testing on more datasets
#11 opened Jun 22, 2021 by khawar-islam
1
ProTip! Exclude everything labeled bug with -label:bug.