0xPrateek / 0xPrateek/Photoroid
Improved algorithm for matching images
Open
enhancement
- Dominant language
- Python
- Stars
- 45
- Forks
- 21
- PR merge metrics
- No merged PRs in 30d
Description
Objectives - Faster image matching then existing algorithm
Contributor guide
Research direction
The issue mentions improving the matching algorithm for speed. Start by examining the existing image matching code, likely using dhash in the repository. Look for performance benchmarks or tests to understand current bottlenecks. Research faster perceptual hashing or feature matching techniques in OpenCV. 'Done' would be a new implementation that demonstrably outperforms the old one in speed tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- opencv, python
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100