OsciSonify

OsciSonify is a Python script designed to ease the process of creating oscilloscope music by converting an image into a WAV file. It performs edge detection, applies a Traveling Salesman Problem (TSP) algorithm to order the white (more than 75% brightness) pixels, normalizes the pixel positions, and generates a WAV file that represents the path formed by the white pixels in the image.

Features

• Edge detection on input images
• Application of TSP algorithm to order white pixels
• Normalization of pixel positions
• Generation of WAV files representing the pixel path
• Customizable amplitude multiplier and frame rate

Requirements

• Python 3.x
• Dependencies: opencv-python, numpy, scipy

Usage

1. Install the required dependencies using pip:

   pip install -r requirements.txt

2. Set the path to the input image file in the IMG_PATH variable.

3. Set the desired amplitude multiplier in the AMPLITUDE variable.

4. Set the desired frame rate in the FRAMERATE variable.

5. Run the script:

   python3 OsciSonify.py

6. The generated WAV file will be saved in the same directory as the script with the name path.wav.

Contributing

Contributions are welcome! If you have any ideas, improvements, or bug fixes, please open an issue or submit a pull request. More effective TSP algorithms are especially encouraged.