This is a audio fingerprint & recognition library implemented in Python, based on https://github.com/worldveil/dejavu with many improvements.
Start by creating a Dejavu object with your configurations settings (Dejavu takes an ordinary Python dictionary for the settings).
>>> from dejavu import Dejavu
>>> config = {
... "database": {
... "host": "127.0.0.1",
... "user": "root",
... "passwd": <password above>,
... "db": <name of the database you created above>,
... }
... }
>>> djv = Dejavu(config)
Next, give the fingerprint_directory method three arguments:
>>> djv.fingerprint_directory("data/audios", [".mp3"], 3)
For a large amount of files, this will take a while. However, Dejavu is robust enough you can kill and restart without affecting progress: Dejavu remembers which songs it fingerprinted and converted and which it didn’t, and so won’t repeat itself.
You’ll have a lot of fingerprints once it completes a large folder of mp3s:
>>> print djv.db.get_num_fingerprints()
5442376
Also, any subsequent calls to fingerprint_file or fingerprint_directory will fingerprint and add those songs to the database as well. It’s meant to simulate a system where as new songs are released, they are fingerprinted and added to the database seemlessly without stopping the system.