Comments (1)
Hi,
- The actual implementation doesn't run on the gpu, so even if you have a RTX3080, it won't be used.
- Bigger images are skipped because the optimization will take too much time, but you could not skip them and wait for the optimization to converge!
- I don't see why you need multiple gpus for this problem
- I you want to use gpu, you can convert this implementation to your favorite deep learning framework (e.g pytorch, tensorflow), and for that, you need to re-implement all the predefined functions available in OpenCV, like sobel filter and Mertens merge.
Hope this answer your question!
from low-light-image-enhancement.
Related Issues (6)
- What are the results of the two models? HOT 1
- Result differs from the dual illumination paper HOT 2
- How can i train with my own datasets?? HOT 1
- The Matlab-implementation of DUAL is much fast than this version. Can this be fixed with an alternative LinAlg Solver?
- Why does it take so long to process HOT 6
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from low-light-image-enhancement.