Comments (6)
Please refer to https://github.com/csdwren/SelfDeblur/blob/master/selfdeblur_ycbcr.py. You need to provide datapath to test blurry images and blur kernel size.
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Please refer to https://github.com/csdwren/SelfDeblur/blob/master/selfdeblur_ycbcr.py. You need to provide datapath to test blurry images and blur kernel size.
thank you. but my images are real blur, how should I set blur kernel size?
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In existing most deblurring methods, blur kernel size should be tuned. I suggest trying to set it as a large size.
from selfdeblur.
In existing most deblurring methods, blur kernel size should be tuned. I suggest trying to set it as a large size.
I would also like to ask about the time cost of this algorithm. It seems that it takes several minutes to calculate a picture. Where is the problem with my operation that leads to such a long processing time
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Given an image, this method optimizes two deep generators from scratch. Thus it takes long time, which is the main disadvantage of this method.
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@csdwren So, this method is not applicable in industry applications right?
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Related Issues (18)
- the link of download is unvaliable HOT 1
- RuntimeError: CUDA out of memory HOT 2
- RuntimeError: set_storage_offset is not allowed on a Tensor created from .data or .detach(). HOT 2
- Can't find the training set HOT 2
- Why is PSNR lower than in the paper ? HOT 1
- About the estimating of blur kernel HOT 6
- The noise level HOT 2
- TV loss
- Colour image deblurring
- Online/offline image deblur solution HOT 1
- How to get color results? HOT 8
- Pre trained models! HOT 2
- Can you please fix the onedrive link to the trained models? HOT 1
- Possible mismatch for examples from Lai's dataset HOT 1
- where is the pretrained model HOT 1
- cublas runtime error : the GPU program failed to execute at /opt/conda/conda-bld/pytorch_1533672544752/work/aten/src/THC/THCBlas.cu:411 HOT 1
- other fuzzy kernels HOT 1
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