why test psnr is nan
Open
- Dominant language
- Python
- Stars
- 155
- Forks
- 22
- PR merge metrics
- No merged PRs in 30d
Description
Contributor guide
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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.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100