Since 2021, I've been constantly learning and improving my knowledge and skills with machine learning. This is one of the first major projects that stems from my desire to learn more about this topic and engage in it in a greater way. Furthermore, it's a project that would potentially benefit me and other musicians after its competition.

I learned as much as I could on machine learning, which includes computer vision. Whether those resources were YouTube videos or textbooks, I put a lot of effort into understanding the fundamental concepts (including the maths behind it (convolutions, matrix multiplications, etc.))

After learning the ins and outs of machine learning (or at least to the best of my abilities), I learned the PyTorch machine learning library. Through it, I am able to create and train my own models (or use other models that other people have trained) for my own programs and projects.

Sensory Music, which is a computer vision object detection project that is able to detect symbols and other details on a music sheet and convert it into a digital copy along with a MIDI file to play the music without an instrument. I was responsible for the machine learning models to be used for computer vision and my friend was responsible for implementing the completely trained computer vision code into an executable file for Android and a wider range of devices in the future.

Google Colab (Free Version)

Machine Learning Libraries

PyTorch

YOLO-V5

Knowledge of Machine Learning