Comments (2)
Thanks, the visualization methods are borrowed from SfmLearner-Pytorch and DPSNet. The depth maps are scaled to a predefined color space(gray or rainbow) to visualize.
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Thanks
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Related Issues (17)
- How to add geo_cost without any depth info? HOT 4
- Input data interpretation HOT 3
- minieigen problem HOT 2
- Error: "root:NaN or Inf found in input tensor."
- Is MVS trainset used
- GPU memory cost too much
- Pose matrix multiplication question
- Real time mapping
- Confused about the training process
- ValueError: no unit eigenvector corresponding to eigenvalue 1 HOT 1
- Question about models/PoseNet and iterations HOT 4
- The metrics of depth estimation HOT 4
- where to download demon_poses.txt and *_demon.npy HOT 3
- lower evaluation metrics using your trained models in google drive? HOT 3
- boost-python-py36 HOT 3
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