Comments (3)
kunzmi
commented on August 23, 2024
Hi, can you provide a bit more information, like size and number of images? Super-resolution mode? What GPU? But after all, if NPP, or cuda, complains about Device allocation error, this nearly always means that you run out of memory on GPU
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sheuchenko
commented on August 23, 2024
Yes! It runs out of memory on GPU because I use the large dng captured by Huawei P30(each photo is 78M). Now I use the photos with lower resolution, it runs successfully. Thank you so much!
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iKaHibi
commented on August 23, 2024
Yes! It runs out of memory on GPU because I use the large dng captured by Huawei P30(each photo is 78M). Now I use the photos with lower resolution, it runs successfully. Thank you so much!
Hi sheuchenko! I am wondering how can I get synthetic image bursts by Huawei P30. Can you tell me how did you do that?
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Related Issues (20)
- tuning parameter k2 HOT 2
- 5 merged "New York scene" looks worse than output from Adobe Camera RAW HOT 3
- The system cannot find the file specified HOT 2
- Could you please help to check this exception? HOT 1
- Does this approach need the camera parameters? HOT 4
- Is it possible to run the code in Ubuntu? HOT 2
- The super resolution can't resize the image with a two-fold resolution HOT 5
- System.DllNotFoundException：Unable to load DLL“nppisu64_10”: HOT 2
- How to create synthetic image bursts to run Google's Handheld Multi-Frame Super-Resolution algorithm? HOT 2
- about max and min in RobustnessModell.cu HOT 1
- Do quality analysis mentioned in Google's paper with TIFF and PNG photos HOT 2
- How does the super resolution works? HOT 1
- Possibility of using .tiff images? HOT 1
- The program is crashing when opening .dng files HOT 4
- Error loading DNG files from Fuji HOT 2
- Version Update
- Loaded images do not display in GUI HOT 1
- ManagedCuda exception HOT 1
- How do you open the program HOT 5
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