Comments (2)
Hello guochengqian,
Thank you for pointing this out.
We consciously decided against clipping.
Even though photographs are often stored in 8 bit, this is not true for other types of images (e.g. in microscopy often 16 bit or even 32 bit float is used).
Clipping would change the distribution of the noise, making it no longer zero-centered, which we rely on in N2V. So to illustrate the principle, we decided against clipping in the paper.
Note that all the baselines we ran to compare our method against use the same unclipped data.
However, we do agree that people might expect the data to be clipped.
We will point this out in the example notebook and also include your suggested line as a comment so that it can be uncommented to enable clipping if desired.
Cheers, Alex
from n2v.
That is good. Thank you. Do mention that in the new version of the notebook. At least the data should be clipped even if they can be float type not uint8. There should never be a negative value.
from n2v.
Related Issues (20)
- Model export does not work for N2V2 HOT 1
- Add 3D support for N2V2
- M1 Mac: Graph execution error on 3D data HOT 4
- error in predicting model HOT 2
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- train HOT 2
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- Wrong shape in training data generation
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