* Adopt uv for Python dependency management
Replace manual pip/venv setup with `uv sync` (pyproject.toml + uv.lock),
and switch all tool invocations across docs, skills, commands, and
examples to `uv run`. Optional extras: --extra whisper, --extra modal.
tools/requirements.txt is kept as a pip fallback.
* FIX: bring uv migration current with main — post-June deps and docs
Adds websocket-client (60db websocket transport) to core deps and a
'youtube' extra for the google-* packages (tools/youtube_upload.py),
regenerates uv.lock, bumps pyproject version to 0.18.0, and converts the
51 'python3 tools/…' invocations added since the PR was opened (60db,
YouTube, Kiro docs, publish command) to 'uv run'. Verified with
uv sync --frozen --extra youtube; voiceover, sixtydb_tts, youtube_upload
and migrate_to_kiro all run through the project environment.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
---------
Co-authored-by: Asharib Ali <asharibarain4@gmail.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
AI-powered watermark removal using ProPainter video inpainting:
dewatermark.py (2400+ lines):
- Cloud processing via RunPod serverless GPUs
- Local processing for NVIDIA GPU users
- Auto resize-ratio based on video duration (1.0 for <30s, 0.75 for <1min)
- Cloudflare R2 for reliable file transfer
- Automated --setup for one-command RunPod configuration
- Chunked processing for long videos
- Preset watermark regions (notebooklm, tiktok, stock variants)
locate_watermark.py:
- Coordinate grid overlay for identifying watermark positions
- Region verification across multiple frames
- Preset support for common watermarks
Infrastructure:
- docker/runpod-propainter/ - Serverless Docker image + handler
- docs/runpod-setup.md - Cloud GPU setup guide
- docs/optional-components.md - ML component documentation
- R2 + RunPod configuration in .env.example
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Conal Mullan