Strautomator
Strava 활동을 자동화해 주는 Strautomator는 IFTTT와 비슷하지만 Strava 전용이다
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Daily yoga pose game in the browser - match the pose, hold it, share your score. Video never leaves your device.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
A daily yoga pose game in the browser. Everyone gets the same pose each day (chosen from the UTC date). Get into it in front of your camera, hold it for 10 seconds, and share your score as an emoji grid. Video never leaves your device: pose tracking runs locally with MediaPipe, and there's no backend, no accounts and no analytics. ⚠️ Some poses are advanced (inversions, arm balances, deep backbends). Stop if anything hurts. You play at your own risk. New here (human or agent)? Read docs/HANDOVER.md.README 전문 보기 ↗
A daily yoga pose game in the browser. Everyone gets the same pose each day (chosen from the UTC date). Get into it in front of your camera, hold it for 10 seconds, and share your score as an emoji grid. Video never leaves your device: pose tracking runs locally with MediaPipe, and there's no backend, no accounts and no analytics.
⚠️ Some poses are advanced (inversions, arm balances, deep backbends). Stop if anything hurts. You play at your own risk.
New here (human or agent)? Read docs/HANDOVER.md.
Features: the daily pose, a 10 s hold scored for pose quality and stillness, an emoji share grid, streaks, practice mode for all 70 poses, a shared daily leaderboard and an archive to replay past days (replays rank on a separate "played later" board).
https://biccyanzac-pixel.github.io/yogle/
Add ?pose=<id> to open a pose in practice mode (e.g. ?pose=tree) and ?debug to show FPS and model info.
node tools/serve.mjs # http://localhost:8080/ (the camera works on localhost)
npm test # unit tests: angles, scoring, hold timer, dates and seeding, schedule rules
npm run schedule # regenerate site/data/schedule.json after changing the library
python tools/build_library.py bench/data/3dyoga90 bench/data/3dyoga90_repo/data/pose-index.csv # rebuild poses.json
The site is served by GitHub Pages from the gh-pages branch, which mirrors site/:
git subtree split --prefix site -b gh-pages && git push -f origin gh-pages
(tools/github-pages-workflow.example.yml would automate this with tests on every push. It needs a GitHub token with the workflow scope; copy it to .github/workflows/ to enable it.)
site/: the static website (deployed to GitHub Pages)
js/angles.js (features), js/scoring.js (matching and hold), js/daily.js (date and seeding), js/app.js (UI)data/poses.json (pose library), data/schedule.json (daily schedule)vendor/mediapipe/, models/: MediaPipe Tasks Vision 1.1.0 and the pose models (Apache-2.0)worker/: leaderboard API (Cloudflare Worker + D1), https://yogle-leaderboard.jacob-gg-leaderboard-worker.workers.devtools/: library builder, schedule generator, real-video scoring evaluation, dev serverbench/: Phase 1 model benchmark harness (large data is not committed)docs/: decisions and status. Start with docs/build-status.md.