How to obtain the correct Mean/Std for preprocessing?
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Quiet
- Tech stack
- python
- Domain
- machine-learning
Research direction
The issue names no file, test, or entry point. Start by locating the input-normalization configuration used by training and inference, then determine whether the Mean/Std values come from the training dataset or stored constants; done means documenting their source and exact values.
Written by the indexing model from the issue text.
Description
Hi, thanks for sharing this great work!
I’m trying to use the model for inference/training, but I’m unsure about the exact mean and std values used for input normalization in your code. Could you please clarify how to obtain the correct Mean/Std? Are they computed from the training dataset (e.g., Kinetics), and if so, could you share the specific values?
If they are precomputed, would you mind providing them or pointing to where they are defined in the codebase?
Thank you in advance for your help!
- Dominant language
- Python
- Stars
- 40
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
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