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OMR-Research / tf-end-to-end

TensorFlow code to perform end-to-end Optical Music Recognition on monophonic scores through Convolutional Recurrent Neural Networks and CTC-based training.
MIT License
141 stars 59 forks source link

"This repository is over its data quota. Purchase more data packs to restore access." #1

Closed JaMesLiMers closed 5 years ago

JaMesLiMers commented 6 years ago

Hi, I am a student who interested about the omr project and I am unable to pull .meta data from Github because of git-lfs quota.

these are the issue code: git lfs clone https://github.com/calvozaragoza/tf-deep-omr.git Cloning into 'tf-deep-omr'... remote: Counting objects: 100, done. remote: Total 100 (delta 0), reused 0 (delta 0), pack-reused 100 Receiving objects: 100% (100/100), 305.23 KiB | 0 bytes/s, done. Resolving deltas: 100% (48/48), done. Checking connectivity... done. batch response: This repository is over its data quota. Purchase more data packs to restore access. error: failed to fetch some objects from 'https://github.com/calvozaragoza/tf-deep-omr.git/info/lfs'

According to following article, the same git-lfs assets are used across public repositories, which means that our fork is also unavailable, and we are using your bandwidth. I thought I was partly responsible, and I was happy to pay for next month for it.

The link: https://help.github.com/articles/purchasing-additional-storage-and-bandwidth-for-a-personal-account/

apacha commented 6 years ago

It would actually be better to not store the models inside the source-code, but as a dedicated binary, attached to a release (see: https://github.com/apacha/MusicObjectDetector-TF/releases/tag/full-page-detection-v2)

JaMesLiMers commented 5 years ago

@apacha Thank you for the advice !