Fetching metadata from the HF Docker repository...
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perf(pose): read dense video frames sequentially
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pioritize BiLSTM model
NLag
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chore: update git ignore
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Refactor(pipeline): improve code readability and update function calls for clarity
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Merge pull request #16 from tihado/NLag/issue4
Implement exercise classifier router -
Merge branch 'main' into NLag/issue4
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Merge pull request #19 from tihado/issue-8-annotated-video-report
Add annotated issue clips and report tabs -
refactor(mediapipe): improve code readability and add CPU delegate option
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feat(report): stream analysis progress
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Enhance UnknownExercise class with debug data handling and add test for manual unknown exercise in pipeline
NLag
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fix(report): show scan result insights
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fix(report): move progress to output panel
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Avoid OpenCV H264 writer fallback errors
NLag
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fix(report): refresh progress copy
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fix(report): color severity chips
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feat(report): show analysis progress timeline
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Document Hugging Face router repo
NLag
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fix(report): improve issue card media and copy
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feat(report): add annotated issue clips
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Merge remote issue 4 updates
NLag
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Add issue 10 training release assets
NLag
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Merge branch 'main' into NLag/issue4
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Merge pull request #18 from tihado/implement-frame-issue-markers
Implement frame-level issue markers -
fix(renderer): preserve video colors in annotations
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refactor(exercises): route pipeline through exercise objects
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Implement frame-level issue markers
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Merge branch 'main' into NLag/issue4
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refactor(exercises): introduce exercise strategies
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Merge branch 'main' into NLag/issue4
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fix(rep-analysis): split exercise analyzers
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Merge branch 'main' into NLag/issue4
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Merge pull request #15 from tihado/issue-6-rep-analysis-variation
Implement per-rep metrics and variation detection -
Merge main into issue 4 branch
NLag
# Conflicts:
# app.py
# uv.lock -
Merge issue 17 temporal router work
NLag
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Add temporal router model selection
NLag
Resolves #17 -
Implement exercise classifier router
NLag
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refactor(app): remove unused quality guidance and markdown functions; improve code readability
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Merge branch 'main' into issue-6-rep-analysis-variation
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feat(ui): add React app for form analysis
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Test rep metric variation detection
Daphne
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Surface rep metrics in the app
Daphne
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Detect exercise variations from rep metrics
Daphne
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Implement pose-derived rep metrics
Daphne
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feat(rep_counter): implement exercise-specific rep counters for push-ups, shoulder presses, and squats; add dependency on fastapi
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chore: update pydantic and pydantic-core versions, adjust Python version in README, and enhance CI workflow with caching
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chore: update short description in README and upgrade checkout action version in CI workflow
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fix(lefthook): add --quiet flag to requirements export for cleaner output
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fix(lefthook): remove unnecessary git diff check from requirements export
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ci: configure Hugging Face Space sync
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feat(pose): add pluggable pose backends
