is anyone can use train.py from https://github.com/bigeagle/PMRID/tree/main
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- Python
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- 275
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Description
I think this is the only training script from the author of official paper.
But it didn't clarify some setting parameters, including NoiseProfile - K and B, DataAugOptions - iso_range.
And what is meaning for item.g_mean_01 from CleanRawImages?
It's really hard to reproduce the training procedure, can someone help me?
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Research direction
Start by reading train.py from the linked bigeagle/PMRID repository, focusing on NoiseProfile K and B, DataAugOptions iso_range, and item.g_mean_01 from CleanRawImages. Done means documenting these settings and the training procedure well enough for another user to reproduce the paper's training process.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100