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Hi, this work is fantastic and interesting.
I have some questions when I using your code to test Bayer mode on McM.
I would like to reproduce the results of Table.2 in your paper.
I used your code and pertained bayer model and got the resulting images are in size of 512x512.
However, the ground truth of McM is smaller (500x500).
How do you evaluate the metrics (psnr/ssim)?
There are two main questions:
Line 26 of inferenceUtils.py, sigma = self.noiseLevel/100.
maybe should be sigma = self.noiseLevel/255.?
Line 64-75 of inferenceUtils.py, resizeDimension = (512, 512) img = img.resize(resizeDimension)
Why the image should be resized to 512, 512 before testing?
BR,
Wenzhu
The text was updated successfully, but these errors were encountered:
Hi, this work is fantastic and interesting.
I have some questions when I using your code to test Bayer mode on McM.
I would like to reproduce the results of Table.2 in your paper.
I used your code and pertained bayer model and got the resulting images are in size of 512x512.
However, the ground truth of McM is smaller (500x500).
How do you evaluate the metrics (psnr/ssim)?
There are two main questions:
sigma = self.noiseLevel/100.
maybe should be
sigma = self.noiseLevel/255.
?resizeDimension = (512, 512)
img = img.resize(resizeDimension)
Why the image should be resized to 512, 512 before testing?
BR,
Wenzhu
The text was updated successfully, but these errors were encountered: