Added more documentation in README about testing

README.md

@@ -124,6 +124,10 @@ Or by reading files via scripting functions:
 
 ## Testing (New!)
 
+Testing out different parameterizations of the fingerprinting algorithm is often useful as the curpus becomes larger and larger, and inevitable tradeoffs between speed and accuracy come into play. 
+
+![Confidence](plots/confidence.png)
+
 Test your Dejavu settings on a corpus of audio files on a number of different metrics:
 
 * Confidence of match (number fingerprints aligned)
@@ -131,6 +135,8 @@ Test your Dejavu settings on a corpus of audio files on a number of different me
 * Song matching accuracy
 * Time to match
 
+![Accuracy](plots/matching_graph.png)
+
 An example script is given in `test_dejavu.sh`, shown below:
 
 ```bash

example.py

@@ -4,17 +4,18 @@ import json
 warnings.filterwarnings("ignore")
 
 # load config from a JSON file (or anything outputting a python dictionary)
-with open("dejavu.cnf") as f:
+with open("dejavu.cnf.SAMPLE") as f:
     config = json.load(f)
 
 # create a Dejavu instance
 djv = Dejavu(config)
+
 # Fingerprint all the mp3's in the directory we give it
 djv.fingerprint_directory("mp3", [".mp3"])
 
 # Recognize audio from a file
 from dejavu.recognize import FileRecognizer
-song = djv.recognize(FileRecognizer, "mp3/beware.mp3")
+song = djv.recognize(FileRecognizer, "mp3/Sean-Fournier--Falling-For-You.mp3")
 
 # Or recognize audio from your microphone for 10 seconds
 from dejavu.recognize import MicrophoneRecognizer
@@ -23,4 +24,4 @@ song = djv.recognize(MicrophoneRecognizer, seconds=2)
 # Or use a recognizer without the shortcut, in anyway you would like
 from dejavu.recognize import FileRecognizer
 recognizer = FileRecognizer(djv)
-song = recognizer.recognize_file("mp3/sail.mp3")
+song = recognizer.recognize_file("mp3/Josh-Woodward--I-Want-To-Destroy-Something-Beautiful.mp3")