Comments (2)
how to run on dynerf data? it seem in llff2colmap.py 158L, the image size are hard coded as (1352,1014)
So, is it necessary to reduce the image size by half? original dynarf data size is (2704 x 2028)
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You can first run the training scripts, which can extract images from the video, and then run colmap.sh
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Related Issues (20)
- About the static training stage HOT 1
- Question about training of different timestamp HOT 2
- LightGaussian implementation
- Make dataset HOT 1
- Is there any suggestions about how to reconstruct 4D Gaussians from the panaroma videos?
- subprocess-exited-with-error x python setup.py develop TypeError: expected string or bytes-like object HOT 6
- How to Create custom dataSets for training? HOT 5
- training using "cut_roasted_beef" HOT 6
- Data value requirements of the custom dataset HOT 3
- About new code HOT 1
- database.py is missing HOT 2
- 1
- colmap.sh for hypernerf dataset HOT 9
- What is the representation of the end result in this project HOT 1
- Training on Custom Dataset from Video HOT 2
- Error when Training Hypernerf Dataset HOT 8
- How to load checkpoint and continue training? HOT 2
- Mirrored video results for DyNeRF dataset HOT 1
- Question about COLMAP Init Points HOT 1
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