Comments (3)
You can obtain the results by rotating the input image by 0, 90, 180, 270 degrees and averaging the result images.
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Thanks for the reply.
Did you use 8 images that were flipped left and right and rotated 90,180,270 degrees?
And when you measure the runtime, did you pass each of the 8 images to the model?
That is, did you pass the image to the model 8 times?
Or did you pass it to the model twice using batch?
from mimo-unet.
We only used rotated images (did not use flipped)(4 images in total).
For measurement, we passed images to the model twice using batch because the sizes of the input images in the same batch must be the same.
For example, the images rotated by 0, 180 are allocated with the first batch.
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Related Issues (20)
- SSIM
- About the license for this model
- Line 53 in eval.py HOT 1
- the image shown in the paper HOT 1
- about the training time HOT 1
- About training my own datasets
- retraining the model on my own dataset
- Realblur 데이터셋에서의 실험에 대한 질문입니다. HOT 2
- About valid dataset of GOPRO_Large
- A question about results on RealBlur dataset
- About test code for Realblur dataset.
- What is the actual effect of the model?
- Prediction Questions HOT 2
- Could you please share the data and figure code of the algorithm comparison plot in the README ?
- training time
- Eval issue HOT 4
- Testing HOT 1
- How to test a single image for deblurring
- The setting about training on realblur
- the saved resulting image is the same as the input image
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