GSoC 2018 - Machine Learning Dataset for OMR - Week 11

Hello!
I have worked on the previous week issues and now the application has stopped from crashing. It's sorted but I will have to test it and understand more on the root cause of the issue as the implementation was working for most of the scores. I am not considering this project as a part of GSoC but as my willful contribution to the community. Coming to this week's analysis,

Below is the segmented status of the project:

Current status of the project
We are done with:
1. Porting the OMR work from imeta to master.
2. Grace Notes Implementation for OMR tackling the issue: https://github.com/Audiveris/omr-dataset-tools/issues/27
3. Bracket Implementation for OMR tackling the issue: https://github.com/Audiveris/omr-dataset-tools/issues/26
4. Tuplet Implementation for OMR tackling the issue: https://github.com/Audiveris/omr-dataset-tools/issues/22
5. Time Signature Upper and Lower Halves annotation for OMR tackling the issue: https://github.com/Audiveris/omr-dataset-tools/issues/28
6. Rest Dot Implementation for OMR tackling the issue: https://github.com/Audiveris/omr-dataset-tools/issues/23
7. Simple Image URL for OMR tackling the issue: https://github.com/Audiveris/omr-dataset-tools/issues/30
8. Staccato Dot for OMR tackling the issue: https://github.com/Audiveris/omr-dataset-tools/issues/25
9. SMuFL symbols identifier for OMR tackling the issue: https://github.com/Audiveris/omr-dataset-tools/issues/29
10. Repeat dot implementation for OMR tackling the issue: https://github.com/Audiveris/omr-dataset-tools/issues/24
11. Crash error rectification while XML generation. - An issue which was faced while testing it on different kind of scores.
12. Testing of scores on Musescore so that they generate XML. The application has been tested on a dataset of 988 scores and it works perfectly.
13. Tuplet Implementation made better.
14. Grace Note Implementation corrected. It now has the nested approach as discussed in the issue: https://github.com/Audiveris/omr-dataset-tools/issues/27. Some samples can be seen in the comments.
Clef Implementation made better. No Sym issue corrected. Made changes for using SMuFL names in the code.
Ported all these changes to nasehim7/imeta, which is rebased with the nasehim7/2.3 which has the latest changes from MuseScore/2.3, at this moment.
https://github.com/nasehim7/MuseScore/compare/2.3...nasehim7:imeta
15. Image Format changed to support grayscale image tackling the issue: https://github.com/Audiveris/omr-dataset-tools/issues/31. Testing and resolving issues that I came across. Giving more structure to the code I wrote before. Some changes to my previous commits and adding those to imeta.
16. Initialized segmented testing of our test data set in chunks of 150 to 200 depending on the complexity of the scores. First, 165 scores are done.
17. Done testing of 350 more scores and found an issue. Worked on it. Found some missing shapes.
18. Done with testing the remaining 472 scores. Some issues encountered and refined many of our implementation for better(mostly our nasehim7/imeta). Some shape additions again.

Added: Resolved previous week issues.

Key accomplishments this week
Resolved previous week issues and worked on refining the codebase with further testing on some test data.

Key tasks that stalled
None

Tasks in the upcoming week:
I plan to test the entire test data again so that I can note down on some missing implementations, symbols, issues and work upon them in future.

About to start with the last week before the finals of GSoC 2018. GSoC 2018 is great and being with MuseScore is a cherry on top. As stated earlier also - this project is not just bound to GSoC but has a very broader time span. More work is needed and more inputs are needed to bring an amazing health to this project. Hope to keep contributing and refining our work.

My best for everyone,
Animesh
Github: https://github.com/nasehim7