From 2f19fcaa51331f9d389f899c5d366c94283217c1 Mon Sep 17 00:00:00 2001 From: Wessie Date: Thu, 19 Dec 2013 01:39:36 +0100 Subject: [PATCH] Fixed some mistakes in my hasty edit --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 2fc4490..9c53b41 100644 --- a/README.md +++ b/README.md @@ -50,13 +50,13 @@ Start by creating a Dejavu object. >>> djv = Dejavu(config) ``` -Next, give the `fingerprint()` command three arguments: +Next, give the `fingerprint_directory` method three arguments: * input directory to look for audio files * audio extensions to look for in the input directory * number of processes (optional) ```python ->>> djv.fingerprint("va_us_top_40/mp3", [".mp3"], 3) +>>> djv.fingerprint_directory("va_us_top_40/mp3", [".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. @@ -67,7 +67,7 @@ You'll have a lot of fingerprints once it completes a large folder of mp3s: 5442376 ``` -Also, any subsequent calls to `fingerprint()` 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. +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. ## Recognizing @@ -85,7 +85,7 @@ There are two ways to recognize audio using Dejavu. You can use Dejavu interacti } ``` -Or by reading .wav files via scripting functions: +Or by reading files via scripting functions: ```python >>> from dejavu.recognize import FileRecognizer