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[question] More close up images lead to worse result
Describe the problem I originally use 724 drone images to generate the building 3d model and it looks ok Although still many holes. But then if I add 2787 more close up images and generate all over it become worse, the 3d model broken then before.
Screenshots
724 images result:
724+2787 images result:
Desktop (please complete the following and other pertinent information):
- OS: Ubuntu
- Python version: 3.9.12
- Meshroom version: Meshroom-2023.2.0-av3.1.0-centos7-cuda11.3.1 (binary/prebuild)
I noticed people mention about Augment Reconstruction, should I try this approach? But I still don't know why adding images will lead to worse result, I through non-calibrated camera/image will just get ignored?
The repeating patters of the building surface can be a problem while matching the close ups to the larger scene. You could try if using your gps data can help: https://github.com/alicevision/Meshroom/wiki/Model-orientation also maybe something like https://github.com/alicevision/Meshroom/issues/2132#issuecomment-1666898231
Finding the best workflow for you may take some time and experimentation.
Could you share your dataset privately to reproduce your issue?
Could you share your dataset privately to reproduce your issue?
Could you please provide way to send you private message? I cannot do it in github and cannot find your correspondent email in github too, thanks
You can contact the core team privately on: [email protected].