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Conal Mullan
54ec952130
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>
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6 lines
143 B
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# Video Toolkit Python Dependencies
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elevenlabs>=1.0.0
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python-dotenv>=1.0.0
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requests>=2.28.0
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boto3>=1.28.0 # For Cloudflare R2 (S3-compatible)
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