Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/abdallahhemdan/orchestra

Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.
https://github.com/abdallahhemdan/orchestra

binarization cv2 detection hemdan image-processing machine-learning machine-readable noise-removal omr omr-sheet optical-character-recognition optical-music-recognition orchestra segmentation staff-line-removal

Last synced: about 2 hours ago
JSON representation

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

Host: GitHub
URL: https://github.com/abdallahhemdan/orchestra
Owner: AbdallahHemdan
License: mit
Created: 2020-12-14T16:21:53.000Z (almost 4 years ago)
Default Branch: master
Last Pushed: 2022-05-30T13:52:05.000Z (over 2 years ago)
Last Synced: 2023-04-28T08:20:14.705Z (over 1 year ago)
Topics: binarization, cv2, detection, hemdan, image-processing, machine-learning, machine-readable, noise-removal, omr, omr-sheet, optical-character-recognition, optical-music-recognition, orchestra, segmentation, staff-line-removal
Language: Python
Homepage:
Size: 132 MB
Stars: 58
Watchers: 1
Forks: 16
Open Issues: 1
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

README

        




  

  ![Component 16](https://user-images.githubusercontent.com/40190772/104846822-22d3e800-58e5-11eb-9c6c-b7de610bd483.png)





Orchestra




  

  [![GitHub contributors](https://img.shields.io/github/contributors/AbdallahHemdan/Orchestra)](https://github.com/AbdallahHemdan/Orchestra/contributors)

  [![GitHub issues](https://img.shields.io/github/issues/AbdallahHemdan/Orchestra)](https://github.com/AbdallahHemdan/Orchestra/issues)

  [![GitHub forks](https://img.shields.io/github/forks/AbdallahHemdan/Orchestra)](https://github.com/AbdallahHemdan/Orchestra/network)

  [![GitHub stars](https://img.shields.io/github/stars/AbdallahHemdan/Orchestra)](https://github.com/AbdallahHemdan/Orchestra/stargazers)

  [![GitHub license](https://img.shields.io/github/license/AbdallahHemdan/Orchestra)](https://github.com/AbdallahHemdan/Orchestra/blob/master/LICENSE)

  

  

  

  



## About

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



![image](https://user-images.githubusercontent.com/40190772/104846946-e81e7f80-58e5-11eb-8652-e54b86b46fe1.png)



## How it works

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

### 1. Noise Removal



![1  noise_removed](https://user-images.githubusercontent.com/40190772/104847172-397b3e80-58e7-11eb-821f-33a83ee60416.png)



### 2. Binarization



![2  binarized](https://user-images.githubusercontent.com/40190772/104847174-3aac6b80-58e7-11eb-8c85-eb9747a7c786.png)



### 3. Staff line removal



![3  cleaned](https://user-images.githubusercontent.com/40190772/104847175-3b450200-58e7-11eb-8f47-1485b142e434.png)



### 4. Cutted buckets





![4  cutted-1](https://user-images.githubusercontent.com/40190772/104847181-3f711f80-58e7-11eb-83b4-435373642c8d.png)




![4  cutted-2](https://user-images.githubusercontent.com/40190772/104847179-3ed88900-58e7-11eb-8fbe-25a484c63092.png)




![4  cutted-3](https://user-images.githubusercontent.com/40190772/104847180-3ed88900-58e7-11eb-959f-817388bade77.png)






### 5. Segmentation and detection



  

![colored_0_1](https://user-images.githubusercontent.com/40190772/104849087-97f8ea80-58f0-11eb-9b4d-49172eb9d9a5.png)




![colored_0_2](https://user-images.githubusercontent.com/40190772/104849089-992a1780-58f0-11eb-9fb6-0c0cc6e6dac0.png)




![colored_0_3](https://user-images.githubusercontent.com/40190772/104849090-99c2ae00-58f0-11eb-9876-4eea7f322e83.png)

  



### 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 ]

2. 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.. ]

3. 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 ]

### Installation

1. **_Clone the repository_**

```sh

$ git clone https://github.com/AbdallahHemdan/Orchestra.git

```

2. **_Navigate to repository directory_**

```sh

$ cd Orchestra

```

3. **_Install dependencies_**

```sh

$ pip install -r requirements.txt

```

### Running

1. **_Put you input files inside input folder_**

2. **_Put you output files inside output folder_**

3. **_Running_**

```sh

python main.py $path_of_input_folder $path_of_output_folder

```

## Contributing

> Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

Check out our [contributing guidelines](https://github.com/AbdallahHemdan/Orchestra/blob/master/CONTRIBUTING.md) for ways to contribute.

### Contributors

  

    
_{Abdallah Hemdan}


     
_{Adel Mohamed}


     
_{Kareem Mohamed^3}


     
_{Ahmed Mahboub}


  

 

### Licence

[MIT Licence](https://github.com/AbdallahHemdan/Orchestra/blob/master/LICENSE)