143 lines
4.3 KiB
Python
143 lines
4.3 KiB
Python
import sys, io, os
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from PyQt4 import QtCore, QtGui, uic
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from PyQt4.QtGui import QPainter, QColor
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from os.path import expanduser
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import subprocess as sp
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import numpy
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from PIL import Image, ImageDraw, ImageFont
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from PIL.ImageQt import ImageQt
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class Core():
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def __init__(self):
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self.lastBackgroundImage = ""
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self._image = None
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self.FFMPEG_BIN = self.findFfmpeg()
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def findFfmpeg(self):
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if sys.platform == "win32":
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return "ffmpeg.exe"
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else:
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try:
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with open(os.devnull, "w") as f:
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sp.check_call(['ffmpeg', '-version'], stdout=f, stderr=f)
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return "ffmpeg"
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except:
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return "avconv"
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def drawBaseImage(self, backgroundImage, titleText, titleFont):
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if self._image == None or not self.lastBackgroundImage == backgroundImage:
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self.lastBackgroundImage = backgroundImage
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if backgroundImage == "":
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im = Image.new("RGB", (1280, 720), "black")
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else:
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im = Image.open(backgroundImage)
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# resize if necessary
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if not im.size == (1280, 720):
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im = im.resize((1280, 720), Image.ANTIALIAS)
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self._image = ImageQt(im)
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self._image1 = QtGui.QImage(self._image)
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painter = QPainter(self._image1)
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font = titleFont
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font.setPointSizeF(35)
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painter.setFont(font)
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painter.setPen(QColor(255, 255, 255))
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painter.drawText(70, 375, titleText)
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painter.end()
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buffer = QtCore.QBuffer()
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buffer.open(QtCore.QIODevice.ReadWrite)
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self._image1.save(buffer, "PNG")
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strio = io.BytesIO()
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strio.write(buffer.data())
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buffer.close()
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strio.seek(0)
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return Image.open(strio)
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def drawBars(self, spectrum, image):
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imTop = Image.new("RGBA", (1280, 360))
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draw = ImageDraw.Draw(imTop)
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for j in range(0, 63):
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draw.rectangle((10 + j * 20, 325, 10 + j * 20 + 20, 325 - spectrum[j * 4] * 1 - 10), fill=(255, 255, 255, 50))
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draw.rectangle((15 + j * 20, 320, 15 + j * 20 + 10, 320 - spectrum[j * 4] * 1), fill="white")
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imBottom = imTop.transpose(Image.FLIP_TOP_BOTTOM)
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im = Image.new("RGB", (1280, 720), "black")
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im.paste(image, (0, 0))
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im.paste(imTop, (0, 0), mask=imTop)
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im.paste(imBottom, (0, 360), mask=imBottom)
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return im
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def readAudioFile(self, filename):
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command = [ self.FFMPEG_BIN,
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'-i', filename,
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'-f', 's16le',
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'-acodec', 'pcm_s16le',
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'-ar', '44100', # ouput will have 44100 Hz
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'-ac', '1', # mono (set to '2' for stereo)
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'-']
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in_pipe = sp.Popen(command, stdout=sp.PIPE, stderr=sp.DEVNULL, bufsize=10**8)
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completeAudioArray = numpy.empty(0, dtype="int16")
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while True:
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# read 2 seconds of audio
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raw_audio = in_pipe.stdout.read(88200*4)
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if len(raw_audio) == 0:
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break
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audio_array = numpy.fromstring(raw_audio, dtype="int16")
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completeAudioArray = numpy.append(completeAudioArray, audio_array)
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# print(audio_array)
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in_pipe.kill()
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in_pipe.wait()
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# add 0s the end
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completeAudioArrayCopy = numpy.zeros(len(completeAudioArray) + 44100, dtype="int16")
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completeAudioArrayCopy[:len(completeAudioArray)] = completeAudioArray
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completeAudioArray = completeAudioArrayCopy
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return completeAudioArray
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def transformData(self, i, completeAudioArray, sampleSize, smoothConstantDown, smoothConstantUp, lastSpectrum):
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if len(completeAudioArray) < (i + sampleSize):
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sampleSize = len(completeAudioArray) - i
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window = numpy.hanning(sampleSize)
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data = completeAudioArray[i:i+sampleSize][::1] * window
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paddedSampleSize = 2048
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paddedData = numpy.pad(data, (0, paddedSampleSize - sampleSize), 'constant')
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spectrum = numpy.fft.fft(paddedData)
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sample_rate = 44100
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frequencies = numpy.fft.fftfreq(len(spectrum), 1./sample_rate)
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y = abs(spectrum[0:paddedSampleSize/2 - 1])
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# filter the noise away
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# y[y<80] = 0
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y = 20 * numpy.log10(y)
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y[numpy.isinf(y)] = 0
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if lastSpectrum is not None:
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lastSpectrum[y < lastSpectrum] = y[y < lastSpectrum] * smoothConstantDown + lastSpectrum[y < lastSpectrum] * (1 - smoothConstantDown)
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lastSpectrum[y >= lastSpectrum] = y[y >= lastSpectrum] * smoothConstantUp + lastSpectrum[y >= lastSpectrum] * (1 - smoothConstantUp)
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else:
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lastSpectrum = y
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x = frequencies[0:paddedSampleSize/2 - 1]
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return lastSpectrum |