When test img size is not 128, how to get a complete result,
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- computer-vision, machine-learning
Research direction
The issue names no source file, test, or entry point; begin by locating NBNet's testing path and the code that clips images to 128-pixel patches and merges them. Reproduce the block artifacts on an image larger than 128 pixels, then document and verify a complete result without obvious seams.
Written by the indexing model from the issue text.
Description
Thank you for your work. NBNet requires size 128 as its input, but when testing img size > 128, if we clip the input to size 128 and then merge the patches, there will be obvious blocky phenomena. How do you solve them?
- 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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