aigc-apps / aigc-apps/VideoX-Fun
Train dataset problem
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- Python
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Description
Hi ,
I'm working on preprocessing video frames for training. I resize each frame proportionally so that the short side is 480.
🧐 If the long side is still less than 832 after resizing, should I:
discard the frame,
zero-pad it,
or is it fine as long as it's roughly close to 480×832 for training?
Just want to confirm what's the preferred approach here before I move forward. Thanks!
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Research direction
The issue names no file, test, or entry point. First locate the video-frame preprocessing and training-data pipeline, then clarify whether the desired outcome is discarding frames, zero-padding, or accepting smaller dimensions; done requires a maintainer-approved rule.
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Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100