audio-visualizer-python/core.py

import sys, io, os
from PyQt5 import QtCore, QtGui, uic
from PyQt5.QtGui import QPainter, QColor
from os.path import expanduser
import subprocess as sp
import numpy
from PIL import Image, ImageDraw, ImageFont
from PIL.ImageQt import ImageQt
import tempfile
from shutil import rmtree
import atexit

class Core():

  def __init__(self):
    self.lastBackgroundImage = ""
    self._image = None

    self.FFMPEG_BIN = self.findFfmpeg()
    self.tempDir = None
    atexit.register(self.deleteTempDir)

  def findFfmpeg(self):
    if sys.platform == "win32":
      return "ffmpeg.exe"
    else:
      try:
        with open(os.devnull, "w") as f:
          sp.check_call(['ffmpeg', '-version'], stdout=f, stderr=f)
        return "ffmpeg"
      except:
        return "avconv"

  def parseBaseImage(self, backgroundImage, preview=False):
      ''' determines if the base image is a single frame or list of frames '''
      if backgroundImage == "":
         print("background image is null")
         return []
      else:
         _, bgExt = os.path.splitext(backgroundImage)
         if not bgExt == '.mp4':
            return [backgroundImage]
         else:
            return self.getVideoFrames(backgroundImage, preview)

  def drawBaseImage(self, backgroundFile, titleText, titleFont, fontSize, alignment,\
                     xOffset, yOffset, textColor, visColor):
    if backgroundFile == '' :
       im = Image.new("RGB", (1280, 720), "black")
    else:
       im = Image.open(backgroundFile)

    if self._image == None or not self.lastBackgroundImage == backgroundFile:
      self.lastBackgroundImage = backgroundFile

      # resize if necessary
      if not im.size == (1280, 720):
        im = im.resize((1280, 720), Image.ANTIALIAS)

      self._image = ImageQt(im)

    self._image1 = QtGui.QImage(self._image)
    painter = QPainter(self._image1)
    font = titleFont
    font.setPixelSize(fontSize)
    painter.setFont(font)
    painter.setPen(QColor(*textColor))

    yPosition = yOffset

    fm = QtGui.QFontMetrics(font)
    if alignment == 0:      #Left
       xPosition = xOffset
    if alignment == 1:      #Middle
       xPosition = xOffset - fm.width(titleText)/2
    if alignment == 2:      #Right
       xPosition = xOffset - fm.width(titleText)
    painter.drawText(xPosition, yPosition, titleText)
    painter.end()

    buffer = QtCore.QBuffer()
    buffer.open(QtCore.QIODevice.ReadWrite)
    self._image1.save(buffer, "PNG")

    strio = io.BytesIO()
    strio.write(buffer.data())
    buffer.close()
    strio.seek(0)
    return Image.open(strio)

  def drawBars(self, spectrum, image, color):

    imTop = Image.new("RGBA", (1280, 360))
    draw = ImageDraw.Draw(imTop)
    r, g, b = color
    color2 = (r, g, b, 50)
    for j in range(0, 63):
      draw.rectangle((10 + j * 20, 325, 10 + j * 20 + 20, 325 - spectrum[j * 4] * 1 - 10), fill=color2)
      draw.rectangle((15 + j * 20, 320, 15 + j * 20 + 10, 320 - spectrum[j * 4] * 1), fill=color)


    imBottom = imTop.transpose(Image.FLIP_TOP_BOTTOM)

    im = Image.new("RGB", (1280, 720), "black")
    im.paste(image, (0, 0))
    im.paste(imTop, (0, 0), mask=imTop)
    im.paste(imBottom, (0, 360), mask=imBottom)

    return im

  def readAudioFile(self, filename):
    command = [ self.FFMPEG_BIN,
          '-i', filename,
          '-f', 's16le',
          '-acodec', 'pcm_s16le',
          '-ar', '44100', # ouput will have 44100 Hz
          '-ac', '1', # mono (set to '2' for stereo)
          '-']
    in_pipe = sp.Popen(command, stdout=sp.PIPE, stderr=sp.DEVNULL, bufsize=10**8)

    completeAudioArray = numpy.empty(0, dtype="int16")

    while True:
      # read 2 seconds of audio
      raw_audio = in_pipe.stdout.read(88200*4)
      if len(raw_audio) == 0:
        break
      audio_array = numpy.fromstring(raw_audio, dtype="int16")
      completeAudioArray = numpy.append(completeAudioArray, audio_array)
      # print(audio_array)

    in_pipe.kill()
    in_pipe.wait()

    # add 0s the end
    completeAudioArrayCopy = numpy.zeros(len(completeAudioArray) + 44100, dtype="int16")
    completeAudioArrayCopy[:len(completeAudioArray)] = completeAudioArray
    completeAudioArray = completeAudioArrayCopy

    return completeAudioArray

  def transformData(self, i, completeAudioArray, sampleSize, smoothConstantDown, smoothConstantUp, lastSpectrum):
    if len(completeAudioArray) < (i + sampleSize):
      sampleSize = len(completeAudioArray) - i

    window = numpy.hanning(sampleSize)
    data = completeAudioArray[i:i+sampleSize][::1] * window
    paddedSampleSize = 2048
    paddedData = numpy.pad(data, (0, paddedSampleSize - sampleSize), 'constant')
    spectrum = numpy.fft.fft(paddedData)
    sample_rate = 44100
    frequencies = numpy.fft.fftfreq(len(spectrum), 1./sample_rate)

    y = abs(spectrum[0:int(paddedSampleSize/2) - 1])

    # filter the noise away
    # y[y<80] = 0

    y = 20 * numpy.log10(y)
    y[numpy.isinf(y)] = 0

    if lastSpectrum is not None:
      lastSpectrum[y < lastSpectrum] = y[y < lastSpectrum] * smoothConstantDown + lastSpectrum[y < lastSpectrum] * (1 - smoothConstantDown)
      lastSpectrum[y >= lastSpectrum] = y[y >= lastSpectrum] * smoothConstantUp + lastSpectrum[y >= lastSpectrum] * (1 - smoothConstantUp)
    else:
      lastSpectrum = y

    x = frequencies[0:int(paddedSampleSize/2) - 1]

    return lastSpectrum

  def deleteTempDir(self):
     if self.tempDir and os.path.exists(self.tempDir):
         rmtree(self.tempDir)


  def getVideoFrames(self, videoPath, firstOnly=False):
      self.tempDir = os.path.join(tempfile.gettempdir(), 'audio-visualizer-python-data')
      # recreate the temporary directory so it is empty
      self.deleteTempDir()
      os.mkdir(self.tempDir)
      if firstOnly:
         filename = 'preview%s.jpg' % os.path.basename(videoPath).split('.', 1)[0]
         options = '-ss 10 -vframes 1'
      else:
         filename = '$frame%05d.jpg'
         options = ''
      sp.call( \
         '%s -i "%s" -y %s "%s"' % ( \
            self.FFMPEG_BIN,
            videoPath,
            options,
            os.path.join(self.tempDir, filename)
         ),
         shell=True
      )
      return sorted([os.path.join(self.tempDir, f) for f in os.listdir(self.tempDir)])

  @staticmethod
  def RGBFromString(string):
   ''' turns an RGB string like "255, 255, 255" into a tuple '''
   try:
     tup = tuple([int(i) for i in string.split(',')])
     if len(tup) != 3:
        raise ValueError
     for i in tup:
        if i > 255 or i < 0:
           raise ValueError
     return tup
   except:
     return (255, 255, 255)