-
Notifications
You must be signed in to change notification settings - Fork 0
/
main.py
134 lines (117 loc) · 5.64 KB
/
main.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
from PyQt5 import QtWidgets
from PyQt5.uic import loadUiType
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from os import path
import numpy as np
import sys
import os
import librosa
from pydub import AudioSegment
from tempfile import mktemp
import librosa.display
import numpy as np
from PIL import Image
import imagehash
import csv
from imagehash import hex_to_hash
import logging
logging.basicConfig(level=logging.INFO, filename="logging.log", format='%(asctime)s:%(levelname)s:%(message)s', filemode='w')
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
MAIN_WINDOW,_=loadUiType(path.join(path.dirname(__file__),"main.ui"))
class MainApp(QMainWindow,MAIN_WINDOW):
def __init__(self,parent=None):
super(MainApp,self).__init__(parent)
QMainWindow.__init__(self)
self.setupUi(self)
self.Buttons= [self.Browse1 , self.Browse2 , self.Identify]
self.Buttons[2].setDisabled(True)
self.songs= [None,None]
self.outMix= None
self.Buttons[0].clicked.connect(lambda : self.readSong(0) )
self.Buttons[1].clicked.connect(lambda : self.readSong(1) )
self.Buttons[2].clicked.connect(self.songMixer)
self.mixerSlider.valueChanged.connect(self.songMixer)
self.outMixList = [None , None , None, None]
self.table = {}
self.SongColumnDB = []
self.MfccColumnDB = []
self.melSpectroColumnDB = []
self.Chroma_stftColumnDB = []
self.SimilarityIndexes=[]
self.songData=[None,None]
self.samplingFrequencies=[None,None]
self.SongNames=[self.firstSongName,self.secondSongName]
def readSong(self,songNumber):
fileName= QFileDialog.getOpenFileName( self, 'choose the signal', os.getenv('HOME') ,"mp3(*.mp3)" )
self.path = fileName[0]
modifiedAudio = AudioSegment.from_file( self.path , format="mp3")[:60000] # read mp3
wname = mktemp('.wav') # use temporary file
modifiedAudio.export(wname, format="wav") # convert to wav
self.SongNames[songNumber].setText(os.path.splitext(os.path.basename(self.path))[0])
self.songData[songNumber],self.samplingFrequencies[songNumber] =librosa.load(wname)
self.songs[songNumber]= self.songData[songNumber]
self.Buttons[2].setDisabled(False)
def songMixer(self) :
sliderRatio = self.mixerSlider.value()/100
if (self.songs[0] is not None) and (self.songs[1] is not None):
logger.debug("Two different audio files are loaded ")
self.outMix = self.songs[0] * sliderRatio + self.songs[1] * (1-sliderRatio)
else:
if self.songs[0] is not None : self.outMix = self.songs[0]
if self.songs[1] is not None: self.outMix = self.songs[1]
self.ReadFromDB()
def ReadFromDB(self):
DataFromDataBase = csv.reader(open('CreateDB/songsDataBase.csv', 'r'), delimiter=",")
SongColumnDB = []
MfccColumnDB = []
melSpectroColumnDB = []
Chroma_stftColumnDB = []
for column in DataFromDataBase:
SongColumnDB.append(column[0])
MfccColumnDB.append(column[1])
melSpectroColumnDB.append(column[2])
Chroma_stftColumnDB.append(column[3])
feature1a= librosa.feature.chroma_stft(y=self.outMix.astype ('float64') , sr=self.samplingFrequencies[0])
feature1b= librosa.feature.melspectrogram(y=self.outMix.astype ('float64') , sr=self.samplingFrequencies[0])
feature1c= librosa.feature.mfcc(y=self.outMix.astype ('float64') , sr=self.samplingFrequencies[0])
feature1d= librosa.amplitude_to_db(np.abs(librosa.stft(self.outMix.astype('float64'))), ref=np.max)
OutputSongFeatures=[feature1a,feature1b,feature1c,feature1d]
FeatureHashs=[]
for feature in OutputSongFeatures:
ImageFeature=Image.fromarray(feature)
FeatureHash=imagehash.phash((ImageFeature),hash_size=16).__str__()
FeatureHashs.append(FeatureHash)
i=0
SimilarityIndexes=[]
for hashnum in MfccColumnDB:
Feature1_Diff=hex_to_hash(Chroma_stftColumnDB[i])-hex_to_hash(FeatureHashs[0])
Feature2_Diff=hex_to_hash(melSpectroColumnDB[i])-hex_to_hash(FeatureHashs[1])
Feature3_Diff=hex_to_hash(MfccColumnDB[i])-hex_to_hash(FeatureHashs[2])
DifferencedHash=((Feature1_Diff+1.5*Feature2_Diff+Feature3_Diff)/3)
SimilarityIndex=(1- DifferencedHash/255)*100
SimilarityIndexes.append([SongColumnDB[i],SimilarityIndex])
i+=1
SimilarityIndexes.sort(key=lambda x:x[1])
self.newSimilarityIndexes=list(reversed(SimilarityIndexes))
self.startTable()
def startTable(self):
logger.debug("Showing similar audio files")
self.resultsTable.setColumnCount(2)
self.resultsTable.setRowCount(10)
for row in range(10):
self.resultsTable.setItem(row, 0, QtWidgets.QTableWidgetItem(self.newSimilarityIndexes[row][0]))
self.resultsTable.setItem(row, 1, QtWidgets.QTableWidgetItem(str(round(self.newSimilarityIndexes[row][1], 2))+"%"))
self.resultsTable.verticalHeader().setSectionResizeMode(row, QtWidgets.QHeaderView.Stretch)
self.resultsTable.setHorizontalHeaderLabels(["Found Matches", "Percentage"])
for col in range(2):
self.resultsTable.horizontalHeader().setSectionResizeMode(col, QtWidgets.QHeaderView.Stretch)
def main():
app = QApplication(sys.argv)
window = MainApp()
window.show()
sys.exit(app.exec_())
if __name__=='__main__':
main()