def testFileRecognizer(self):
"""Recognize audio from a file"""
recognizer = FileRecognizer(self.djv)
result = recognizer.recognize_file(self.fileName)
self.assertEqual(self.song_name, result['song_name'])
print "(w/o shortcut) we recognized: %s\n" % result['song_name']
def check_dejavu(path):
dburl = 'sqlite:///new.db'
djv = Dejavu(dburl=dburl)
recognizer = FileRecognizer(djv)
song = recognizer.recognize_file(path)
if song['confidence'] < DEJAVU_THRESHOLD:
return ("Not found", False)
return (song['song_id'], True)
def nonblocking_recognize_file_path(self, file_path, ws):
r = FileRecognizer(self.djv)
frames, r.Fs = decoder.read_chunks(file_path, r.dejavu.limit)
for i, val in enumerate(frames):
match = r._recognize(*val)
if match is not None:
match['segment_id'] = i
match['start_time'] = i * ChunksTime / 1000
ws.write_message(json.dumps(match))
else:
ws.write_message(json.dumps({}))
def upload():
subprocess.call(
"php ~/root/clunkr/static/upload.php") # runs the php upload script
directory_list = os.listdir(
"~/root/recordings") # grabs the files from the recording directory
file_name = directory_list.pop # pulls filename of the most recent recording from recordings
recognizer = FileRecognizer(djv)
match = ""
with open("~/root/recordings" + file_name) as f: # opens file as f
match = recognizer.recognize_file(f) # recognizer returns filename
flash("Uploading and looking for a match.", "info")
#os.popen("rm -f ~/root/recordings") deletes files after match is made
return render_template("result.html", match=match)
########NEW FILE########
__FILENAME__ = example
from dejavu import Dejavu
import warnings
import json
warnings.filterwarnings("ignore")
# load config from a JSON file (or anything outputting a python dictionary)
with open("dejavu.cnf") 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")
# Or recognize audio from your microphone for 10 seconds
from dejavu.recognize import MicrophoneRecognizer
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")
########NEW FILE########
