You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Need to run COLMAP
Features extracted
Features matched
Sparse map created
Finished running COLMAP, see .\dataset\colmap_output.txt for logs
Post-colmap
Cameras 5
Images # 21
ERROR: the correct camera poses for current points cannot be accessed
Done with imgs2poses
It seems that there is a problem with the camera pose and corresponding point cloud,But the most crucial thing is that it cannot generate the data poses_bounds.npy to be used in the next stage.
Can you provide some suggestions for me to collect datasets that are compatible with MVSGaussian,for example, the parameters captured by the camera, as well as the characteristics of the images used for processing, such as image size, image quality, and image clarity.
The text was updated successfully, but these errors were encountered:
Hi, you can try runing colmap sparse reconstruction https://colmap.github.io/cli.html# , and then run the script lib/colmap/imgs2poses.py to get poses_bounds.npy.
This is because there are images in your image that cannot estimate the camera pose. It is recommended to manually filter the following images. it works
When I tried to generate the MVSGaussian dataset using the video frame data I collected myself, I encountered some problems. When I run the command
It always reports information
It seems that there is a problem with the camera pose and corresponding point cloud,But the most crucial thing is that it cannot generate the data
poses_bounds.npy
to be used in the next stage.Can you provide some suggestions for me to collect datasets that are compatible with MVSGaussian,for example, the parameters captured by the camera, as well as the characteristics of the images used for processing, such as image size, image quality, and image clarity.
The text was updated successfully, but these errors were encountered: