Mikkeli Matlock
a9a4b1725c
- Added CLAUDE.md with detailed project documentation and roadmap - Enhanced README.md with usage section for command line and GUI modes - Updated with Claude Code credit - Improved master_core.py with better song name handling and BPM display 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
29 lines
899 B
Markdown
29 lines
899 B
Markdown
# uj-mastering-master
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Utility providing metrics to evaluate masterings.
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Now boosted by Claude Code.
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## dependencies
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librosa, numpy, matplotlib, mutagen
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## usage
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### Command Line Analysis
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1. Edit `files.txt` to include paths to your audio files (MP3/WAV supported)
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- Use `;` or `#` to comment out files
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- One file path per line
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2. Run: `python master_core.py`
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- Generates colorized power magnitude graphs for each file
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- Displays BPM and song metadata
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- Graphs show RMS power over time with adaptive scaling
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### GUI Mode (Experimental)
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Run: `python main.py`
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- Opens drag-and-drop interface
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- Currently displays dropped file paths
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- Analysis integration coming soon
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### Output
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- Interactive matplotlib graphs showing power levels over time
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- Color-coded visualization (autumn colormap)
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- Automatic headroom detection and scaling
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- Console output with BPM and metadata information |