why test psnr is nan
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 20/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- computer-vision, machine-learning
Research direction
Start by reviewing the attached screenshot and locating the code that computes or tests PSNR in the Python denoising workflow. Reproduce the NaN result and identify the input or calculation that causes it. Done means the PSNR test has a defined, non-NaN outcome with a regression check.
Written by the indexing model from the issue text.
Description
- Dominant language
- Python
- Stars
- 156
- Forks
- 22
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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