Comments (3)
Which dataset are you calculating this PSNR on? The results I have mentioned are calculated on the UCF101 test set. I think a larger dataset will improve performance but it depends on the kind of videos you have. It does take long. Maybe the dataloader or preprocessing can be optimized further.
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My PSNR is calculated during the training process, which is shown in the tensorboard. I will calculate
on the UCF101 later, it's my fault.
I converted a 30fps 12s video and set --sf 30 --fps240, I got a 240fps 44s video, what's wrong with it, why did the duration bacame 44s?
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The output video stutters every few seconds, do you have this issue? I have tried different resolutiosn and bitrates.
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Related Issues (20)
- ffmpeg error while running evaluation code. HOT 1
- Output interpolated image frames are of different size then input frames?
- What is the function of transforms.Normalize(mean=negmean, std=std)? Why use a negative mean๏ผ
- Error converting file:D:\Coding\JAVASCRIPT\recless\out\4fpsRecording.mkv. Exiting.
- PackagesNotFoundError: torchvision-cpu==0.2.0 HOT 3
- Runtime Error (Traceback Attached) HOT 23
- Frames are not extracted for any input video
- Differences with butterflow
- Slowdown a point of the video HOT 1
- It does not seem to work for scale value below 4 HOT 1
- "index 1 is out of bounds for dimension 0 with size 1" HOT 2
- Reference frames are different from the original ones. HOT 1
- sh: /Users/*/Downloads/ffmpeg/ffmpeg: No such file or directory HOT 2
- Add local file to Google Colab?? Or change length??
- How can I find the dataset of 240-fps video from YouTube HOT 1
- Training
- Objective metrics
- Could be faster by not saving PNG frames
- Image edge flicker
- low rate of utilization in test video
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