This Python script demonstrates the Shi-Tomasi corner detection method using OpenCV. Shi-Tomasi corner detection is a feature detection technique that identifies distinctive points or corners in an image. It is often used in computer vision applications for tasks like feature matching, object tracking, and image stitching.
active 2023-10-11 → 2024-08-06 (UTC)
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Line chart, 301 days from 2023-10-11 to 2024-08-06. 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: 4 total, peak 1 in a day.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Prometheussx | 2 | 2 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.