To accumalate numpy training samples, run process_midis in util.py with './mididrumfiles.com_.samples' as path
All data is stored in compressed numpy files in the 'numpy_samples' directory. https://docs.scipy.org/doc/numpy/reference/generated/numpy.savez_compressed.html
To load the accumalated training samples, use key 'all_beats' to get numpy array with all of the beats in it.
To load associated labels, use key 'labels'.
-
Notifications
You must be signed in to change notification settings - Fork 0
DeepSymphony/pix2pixbeats
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Using the pix2pix algorithm to create more complex beats out of simplified beats
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published