Mikkeli Matlock
22ecb67296
Reference lines: - Kept per metric (dict keyed by metric_id) so switching metrics and coming back preserves them, instead of clearing on every switch - Spectrogram lines read/edit/drag in Hz: the renderer installs Hz<->row-index transforms (the heatmap y-axis is a row index), so value, label, the edit dialog, and the new-line default all speak frequency. Curve metrics stay identity. Round-trip verified (1000 Hz -> row -> 1000 Hz) - Line label and drag-readback always in the metric's natural units Controls: - Relative-time abs/rel is now a checkbox toggle, not a dropdown - Removed the font control panel; UI font is locked to M PLUS 1 Code @ 10pt via font_manager.apply_fixed_font (system-default fallback). Deleted font_control_widget.py Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
uj-mastering-master
Custom mastering toolkit providing visual metrics for evaluating audio masterings. Developed with Claude Code assistance.
Features
Current
- PyQt5 GUI: drag-and-drop or file-dialog ingest of
.mp3,.wav,.flac - Switchable metrics via a dropdown, all sharing one analysis cache:
- RMS Power — 10 s rolling window with adaptive colour scale
- Waveform — min/max envelope, fixed ±1.1 scale
- LUFS — BS.1770 short-term (3 s) + integrated + loudness range (LRA)
- Crest Factor — peak-to-RMS spread over time
- PSR — peak-to-short-term-loudness ratio ("is it still breathing?")
- True Peak — 4× oversampled dBTP, catches inter-sample peaks
- Spectrogram — log-frequency STFT power heatmap over time
- Always-labelled axis extremes: every plot forces its exact min/max onto the ticks, so you can read the true range even on a log axis (e.g. the spectrogram's 22 kHz top, which otherwise falls between decade ticks)
- Native sample rate: audio is loaded without resampling, so the full band (up to the file's own nyquist, e.g. ~22 kHz for 44.1 kHz files) is analysed
- BPM detection via librosa
- CJK-safe font system with custom fonts loaded from
fonts/(gitignored), system fallbacks, and a live font selector - Background analysis thread so the UI stays responsive; metric switches compute off the GUI thread and cache, so re-selecting a metric is instant
- Embedded matplotlib canvas with auto-regenerated plots on font change
Roadmap
See CLAUDE.md for the full development roadmap. Near-term: dynamic range (DR meter), plot-style controls, interactive axis controls.
Quick start
This project uses uv. With uv installed:
uv sync
uv run ujm
uv run ujm is the only supported entry point — it boots the GUI.
Logging flags
uv run ujm --log-level DEBUG # ERROR | WARN | INFO | DEBUG | TRACE
uv run ujm --log-file # also write audio_analysis.log
Fonts
Drop .ttf / .otf / .ttc files into fonts/ to get them in the font
selector. The directory is gitignored to avoid bundling licensed font data.
See CJK_FONTS.md for details.
Dependencies
librosa, numpy, matplotlib, mutagen, pyloudnorm, PyQt5 — all pinned
through uv.lock. Python 3.10+.
Architecture
| Module | Responsibility |
|---|---|
main.py |
MainWindow + the ujm entry point |
analysis_results_manager.py |
Background QThread worker, result + metric-data cache |
master_core.py |
AudioFile: native-rate librosa loading, RMS rolling window, BPM |
metrics.py |
Pluggable Metric ABC + registry (RMS, Waveform, LUFS, Crest, PSR, True Peak, Spectrogram) |
audio_visualization_widget.py |
Embedded FigureCanvasQTAgg host |
font_manager.py |
Custom + system CJK font discovery, matplotlib/Qt config |
font_control_widget.py |
Font picker + size slider |
plot_control_widget.py |
Metric selector + refresh-plot button |
logger_setup.py |
CLI log-level parsing + custom TRACE level |
setup_fonts.py |
Diagnostic utility (run standalone) |
Adding a metric
Subclass Metric in metrics.py, implement compute(audio_file) -> data (the
heavy part, runs on the worker thread) and render(data, file_path) -> Figure
(cheap, runs on the GUI thread). Register the instance in the METRICS dict at
the bottom of the file — it shows up in the dropdown automatically.