Comments (5)
We never did evaluation for distance between 80 - 100m. For now, depth estimation is based on geometry constraint, with further distance a big error as nature, I think it's hard for now to get 88% accuracy.
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Not understand what you say, please make it more clearly.
from packnet-sfm-pytorch.
from packnet-sfm-pytorch.
Sorry, the version of "packnet-sfm" paper I got has no information about your metioned "annotated depth maps".
why not just refer to the given linked paper[14] and [42] for more information?
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Related Issues (10)
- how about speed? HOT 3
- 相机内参学习
- does it has the detail in the paper ? HOT 6
- would you provide an improved version corresponding to the original paper? HOT 3
- Velocity loss HOT 2
- 训练结果有提升了吗? HOT 3
- The model can be adapted accordingly to your current version as the authors have released the code. HOT 5
- Reconstruction HOT 2
- How to train with my own dataset
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