This project provides a comprehensive and comparative implementation of image processing filters using three different approaches: Pure Python, NumPy and Cython. The objective is to demonstrate performance and efficiency improvements by optimizing image processing algorithms, with a special focus on Gaussian, Sobel and Median filters.
active 2025-03-04 → 2025-03-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-03-04 to 2025-03-04. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| S3RG10-B4RR3R4 | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.