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Updated go.py

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Added clarification that the configuration is now an ordinary python
dictionary to the README.
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Wessie 2013-12-19 17:15:11 +01:00
parent 2f19fcaa51
commit ec823f56e4
2 changed files with 23 additions and 15 deletions
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3
README.md
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@ -36,7 +36,8 @@ Now you're ready to start fingerprinting your audio collection!
Let's say we want to fingerprint all of July 2013's VA US Top 40 hits.
Start by creating a Dejavu object.
Start by creating a Dejavu object with your configurations settings (Dejavu takes an ordinary Python dictionary for the settings).
```python
>>> from dejavu import Dejavu
>>> config = {

35
go.py
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@ -1,22 +1,29 @@
from dejavu import Dejavu
from ConfigParser import ConfigParser
import warnings
import json
warnings.filterwarnings("ignore")
# load config
config = ConfigParser()
config.read("dejavu.cnf")
# load config from a JSON file (or anything outputting a python dictionary)
with open("dejavu.cnf") as f:
config = json.load(f)
# create Dejavu object
dejavu = Dejavu(config)
dejavu.fingerprint("va_us_top_40/mp3", "va_us_top_40/wav", [".mp3"], 5)
# create a Dejavu instance
djv = Dejavu(config)
# Fingerprint all the mp3's in the directory we give it
djv.fingerprint_directory("va_us_top_40/mp3", [".mp3"], 5)
# recognize microphone audio
from dejavu.recognize import Recognizer
recognizer = Recognizer(dejavu.fingerprinter, config)
song = recognizer.read("va_us_top_40/wav/17_-_#Beautiful_-_Mariah_Carey_ft.wav")
# Recognize audio from a file
from dejavu.recognize import FileRecognizer
song = djv.recognize(FileRecognizer, "va_us_top_40/wav/17_-_#Beautiful_-_Mariah_Carey_ft.wav")
# recognize song playing over microphone for 10 seconds
#song = recognizer.listen(seconds=1, verbose=True)
#print song
# Or recognize audio from your microphone for 10 seconds
from dejavu.recognize import MicrophoneRecognizer
song = djv.recognize(MicrophoneRecognizer, seconds=10)
# Or use a recognizer without the shortcut, in anyway you would like
from dejavu.recognize import FileRecognizer
recognizer = FileRecognizer(djv)
song = recognizer.recognize_file("va_us_top_40/wav/17_-_#Beautiful_-_Mariah_Carey_ft.wav")