Clarified documentation

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Will Drevo 2014-11-21 01:28:04 -05:00
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@ -102,7 +102,27 @@ An example configuration is as follows:
## Recognizing ## Recognizing
There are two ways to recognize audio using Dejavu. You can use Dejavu interactively through the terminal. Assuming you've already instantiated a Dejavu object, you can match audio through your computer's microphone: There are two ways to recognize audio using Dejavu. You can recognize by reading and processing files on disk, or through your computer's microphone.
### Recognizing: On Disk
Through the terminal:
```bash
$ python dejavu.py recognize file sometrack.wav
{'song_id': 1, 'song_name': 'Taylor Swift - Shake It Off', 'confidence': 3948, 'offset_seconds': 30.00018, 'match_time': 0.7159781455993652, 'offset': 646L}
```
or in scripting, assuming you've already instantiated a Dejavu object:
```python
>>> from dejavu.recognize import FileRecognizer
>>> song = djv.recognize(FileRecognizer, "va_us_top_40/wav/Mirrors - Justin Timberlake.wav")
```
### Recognizing: Through a Microphone
With scripting:
```python ```python
>>> from dejavu.recognize import MicrophoneRecognizer >>> from dejavu.recognize import MicrophoneRecognizer
@ -110,15 +130,12 @@ There are two ways to recognize audio using Dejavu. You can use Dejavu interacti
{'song_id': 1, 'song_name': 'Taylor Swift - Shake It Off', 'confidence': 3948, 'offset_seconds': 30.00018, 'match_time': 0.7159781455993652, 'offset': 646L} {'song_id': 1, 'song_name': 'Taylor Swift - Shake It Off', 'confidence': 3948, 'offset_seconds': 30.00018, 'match_time': 0.7159781455993652, 'offset': 646L}
``` ```
Or by reading files via scripting functions: and with the command line script, you specify the number of seconds to listen:
```python ```bash
>>> from dejavu.recognize import FileRecognizer $ python dejavu.py recognize mic 10
>>> song = djv.recognize(FileRecognizer, "va_us_top_40/wav/Mirrors - Justin Timberlake.wav")
``` ```
Note that the `offset` field of the returned song object tells you about the position in which the song was matched. See [here](https://github.com/worldveil/dejavu/issues/43) for a description of how.
## Testing (New!) ## Testing (New!)
Testing out different parameterizations of the fingerprinting algorithm is often useful as the corpus becomes larger and larger, and inevitable tradeoffs between speed and accuracy come into play. Testing out different parameterizations of the fingerprinting algorithm is often useful as the corpus becomes larger and larger, and inevitable tradeoffs between speed and accuracy come into play.