Comments (6)
your input image has 689280 float numbers, -1 means any integer, 689280 / 360 / 640 / 3 != integer.
so please check the image integrity firstly, maybe has incomplete image(s).
of course, maybe other cause.
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Or maybe you have images with different resolutions in your dataset which is not supported yet.
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How to solve it?I also faced similar problem on dtu dataset
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- debug and fix. (if you can)
- keep same environment as official,just in 20 minutes: CUDA, Python,Pytorch,... (recommended: life is limited, do not waste time on non-core technology.)
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How to solve it?I also faced similar problem on dtu dataset
My dataset has slightly different image size because I use colmap to undistort images. Some of images are 640x360 and others are 640x359
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resize pls. (PIL.Image, CV2, or pytorch torchvision.transorms.Resize)
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Related Issues (20)
- index error
- Joint Refine
- Simultaneous editing of Gaussian and mesh
- Problem Extracting Mesh Without 'use_centers_to_extract_mesh' Option
- Difficulty in extracting an accurate mesh in a case study using SuGaR HOT 1
- simple knn install error
- Doubts about the use of segmented images for reconstruction
- use new commit but got bad mesh HOT 3
- Issues with single object (with background removed)
- There was an error running metrics.py
- about joint optimization
- Set camera position SuGaR viewer
- Issue with Viwer
- How can a mesh be generated from a Gaussian splat (.ply) file alone? Is this project capable of achieving that?
- Installation Process - Question about Step 3
- “out of memory” when running extract_mesh.py
- How do I set the area of the bbox?
- How can I load the generated outputs in Blender?
- After editing the 3D GS training results, use SuGaR for optimization
- Can this job transform mesh into Gaussian?
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