Comments (2)
anchen1011
commented on June 19, 2024
Hi, I assume your question is about the automatic resizing of our algorithm? We currently only support 8x resolution (2382 / 8 = 297.75, thus it's not fully supported). An alternative is to use zero padding to make your input 4240 x 2384, run our algorithm, and then cut the padded part from the output.
Hope this helps!
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letatanu
commented on June 19, 2024
This could solve your issue.
from toflow.
Related Issues (20)
- Pre-training the flow estimation network HOT 7
- Resolution mismatching for interpolation HOT 2
- the noise level of the pretrained denoise model HOT 2
- vimeo-90k HOT 4
- Using ffmpeg to generate image sequence? HOT 1
- Looking forward to the training code. HOT 1
- divide vimeo90K dataset into training set and test set
- septuplet dataset 502 HOT 2
- Running toflow on consecutive frames HOT 1
- What is the number of parameters for this algorithm? HOT 1
- the results of sr model is not correct HOT 2
- add noise to input seems to have something wrong HOT 3
- Loading the model:
- Confusion on Image Transformation Module HOT 1
- About the box down-sample kernel HOT 2
- About Vimeo Dataset. HOT 1
- Not all septuplets listed in "sep_testlist.txt" and "sep_trainlist.txt". HOT 1
- 2x model
- Issue in SSIM implementation
- License of Vimeo-90K?
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