- Implemented a new Python script `mic_visualizer.py` that captures audio from a microphone and visualizes it in real-time.
- Utilized SDL2 for audio capture and rendering, allowing users to see waveform and spectrum representations of the audio input.
- Added command-line arguments for listing devices, selecting a capture device, and configuring window size and audio settings.
- Included functionality for displaying audio levels and peaks, enhancing user experience with visual feedback.
- Added `image_clean.png` to the output directory for the clean image representation.
- Added `image_clean_preview.png` for the preview of the clean image.
- Introduced `image_svg_clean.png` for the SVG clean image representation.
John Doe