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KalyanM45/Hand-Tracking-Using-Opencv

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his Python script utilizes OpenCV and MediaPipe to perform real-time hand tracking using a webcam. The code captures video input from the default camera, processes the frames to detect and track hand landmarks using the MediaPipe Hands module, and subsequently visualizes the landmarks on the live feed.

active 2024-02-062026-03-21 (UTC)

Complete coverage26,531 / 26,531 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
20
Pushes
1
Pull requests
0
Issues
0
Stars
13
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 775 days from 2024-02-06 to 2026-03-21. Pushes: 1 total, peak 1 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: 13 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
KalyanM451100

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 — 13 stars here means stars gained during the window, not the repo's star count.