Comments (3)
我们在实验中用的cuda9.2和cudnn7.6.3。你这里的unsupported gpu architecture错误可能是cuda版本和GPU不兼容导致的
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我发现您生成的off模型中只有点数据,那么faces数据该如何生成呢?我在将其转为obj文件失败了,是在那个py文件内修改呢,是否可以提供较为详细的代码?谢谢
from anchorudf.
这里我们没有生成faces数据,而是使用meshlab里的compute normals for point sets算法来计算生成点云的normals来做可视化。如果想转成mesh,可以参考这篇文章MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks 。
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Related Issues (20)
- opt missing for training code HOT 2
- TARGET folder missing in provided preprocessed data HOT 2
- Multiple views support? HOT 2
- Target Sampling Distribution HOT 2
- Input mesh scaling HOT 1
- Missing data from the linked download page HOT 2
- trainning slow HOT 3
- how to dress SMPL ? HOT 2
- 运行出错
- get_targets部分生成较慢 HOT 2
- 您好,想问一下quick demo生成的 文件 HOT 3
- 数据集处理中labels*缩放比例 HOT 4
- Some errors when running demo
- Large gap between training/eval performance
- gen_targets生成的数据可以直接分享一份吗?生成太慢了
- How to get reconstruction as shown in example images.
- UDF scaling during training HOT 1
- multiple GPUs support?
- issue with evaluation
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