Replies: 19 comments 15 replies
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Same problem with same results |
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How does the same reconstruction look when using COLMAP? |
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I have uploaded the images/database and results here: https://mega.nz/file/j9pygKwJ#pge3CVpgWJJ--kDl1AVkE-qQVXMcyv4qI0kK1Kla2_4 Commands executed: I can see the next error/warning when glomap is executed: |
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Same problem with same results |
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HI, @aW4KeNiNG, thanks for sharing the database! |
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Could it be a Windows issue? I'm using Windows. What OS are you using? If I use the first 60 images in the dataset, it works. I have other small dataset (43 images) where it works too. |
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I am using Ubuntu 22.04. In this case, it can be the problem of running out of memory. Can you maybe try decreasing |
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Same issue. I'm running on 64gb RAM and 4090 24gb VRAM. |
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I am finding data size might not be the problem for me. Most of my datasets I have tested have been images extracted from a video that was taken of a loop around an object. The rotation between each image is small. I found that if used every 4 images which increased the rotation between images, I could get the datasets to work. I have 128 GB of RAM and an RTX 6000 Ada with 48GB or VRAM. None of the datasets I have tried have approached the limits of my memory. |
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My result with glomap is also strange Additional info: Here is command that I use. |
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A small dataset, 167 images, a stone statue, it works. |
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Hi @hnzhw @cr00lick @aW4KeNiNG, I have tried this example on my Windows computer. I got a similar failed result as you if I run with default parameters, but I can get some successful results by changing |
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Unfortunatelly, it don't work properly with Left = Right = Additional info: |
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Colmap (version 3.8) reconstruction using Glomap (commit 816e06f) reconstruction using |
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Hi., I have the same problem. Not help when used --TrackEstablishment.max_num_tracks 50000, 100000 and even 1000000 |















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Hi,
I tried to do a sparse reconstruction (according to instructions from github) using GLOMAP 1.0.0 (feature extraction and matching in COLMAP) but the result is just cameras, very oddly arranged in space.
Output from glomap mapper:
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