Skip to content

Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.

Notifications You must be signed in to change notification settings

AdelRizq/Orchestra

Folders and files

NameName
Last commit message
Last commit date

Latest commit

0e41851 · Jan 17, 2021

History

55 Commits
Jan 11, 2021
Jan 11, 2021
Jan 17, 2021
Jan 9, 2021
Jan 17, 2021
Jan 11, 2021
Jan 11, 2021
Jan 11, 2021
Jan 11, 2021
Jan 11, 2021

Repository files navigation

Orchestra

GitHub contributors GitHub issues GitHub forks GitHub stars GitHub license

About

Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.

image

How it works

List of steps we take to process the input sheet and get our results

1. Noise Removal

1  noise_removed

2. Binarization

2  binarized

3. Staff line removal

3  cleaned

4. Cutted buckets


4  cutted-1



4  cutted-2



4  cutted-3



5. Segmentation and detection

colored_0_1


colored_0_2


colored_0_3

6. Recognition

  1. Cutted 1

[ \meter<"4/4"> d1/4 e1/32 e2/2 e1/8 e1/16 e1/32 {e1/4,g1/4} e1/4 e1/8 c1/8 g1/32 c1/16 e1/32 ]

  1. Cutted 2

[ \meter<"4/4"> {e1/4,g1/4,b1/4} a1/8 d1/8 c1/16 g1/16 d1/16 e1/16 c2/16 g2/16 d2/16 e2/16 {f1/4,g1/4,b1/4} c1/4 a1/4. a1/8 a1/32.. ]

  1. Cutted 3

[ \meter<"4/4"> e1/16 e1/16 e1/16 e1/16 e1/4 e#1/4 g1/4 g&&1/4 g1/4 e#2/4 ]

How to run

  1. Put your images inside input folder
  2. Run the main file and pass the input & output folders as args

    for example python main.py input output

  3. Check the output folder

Contributors


Abdallah Hemdan


Adel Mohamed


Kareem Mohamed^3


Ahmed Mahboub

Licence

MIT Licence