GSoC 2018: Machine Learning Dataset for OMR - Week 9

Hello!
This week I have thoroughly tested 350 more scores, so now we are done with almost done with 520 scores from a bunch of 988 scores. There are some issues that I found which crashed the application so the XML generated were not complete and eventually, the OMR gave parsing error. There was no other issue than this which I found. Some new shapes again that are not annotated. I will be compiling them, posting them on the issue tracker and adding relevant changes in the README.md of Musescore. Coming to this weeks 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.

Added: Done testing of 350 more scores and found an issue. Worked on it. Found some missing shapes.

Key accomplishments this week
More testing of scores was done, in totality, we have done testing 520 scores.

Key tasks that stalled
None

Tasks in the upcoming week:
Working on the issue that was generated during the testing. Refining the code. Discussing more with Lasconic and Herve. Addition of shape names on the issue tracker as well as in the README.md file.

Work is good, the project is awesome. I will surely continue to work after GSoC ends too.

Have a Good Day,
Animesh
Github: https://github.com/nasehim7