Comments (1)
you run the COLMAP pipeline again (sparse_reconstruction_unknown_calib, dense_reconstruction, and delaunay_meshing) only on training images.
Instead of sparse_reconstruction_unknown_calib
I am running sparse_reconstruction_known_calib
(https://github.com/intel-isl/FreeViewSynthesis/blob/master/co/colmap.py#L851), otherwise the cameras would not align anymore.
does it mean that evaluation images will not be undistorted?
No, I also undistorted the evaluation images.
the camera parameters will not be the same across two runs due to bundle adjustment?
See my answer above.
we have depth maps for all images
The depth maps we are using are rendered from the 3D geometry. Specifically, I used pyrender (https://github.com/mmatl/pyrender). I used the MVS depth maps only to create the 3D geoemtry.
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Related Issues (20)
- How to change the dense outputs put from colmap into those in dataset. HOT 3
- How to obtain consistent image and depthmap size HOT 2
- Cannot construct eval paths HOT 1
- Question about preprocess.cpp HOT 2
- IndexError while running exp.py HOT 4
- Change the camera parameters, but get the same output HOT 6
- Why is image coordinate multiplied by 2 when generating sampling_maps HOT 2
- How to get composite view HOT 6
- Questions about the paper HOT 1
- How to get the synthesize images from input images? HOT 3
- method to generate camera path
- Proxy-geometry generation pipeline HOT 2
- Percetual Loss HOT 3
- co package version HOT 1
- Confused about why counts numpy array is not symmetric
- Could you provide New Recording 1.00 datasets?
- Reconstructed mesh from COLMAP HOT 2
- DTU groundtruth meshes
- Creating a own dataset
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