from Tkinter import *
import serial
import numpy
import scipy
NY = 500
barwidth = 100
nloop = 190
NX = nloop
nstart = 10
path = []
avgAmplitude = 0
avgZero = 0
maxPlotAmplitude = 80.0/1024.0
smoothCount = 12
smoothFreq = scipy.zeros(smoothCount)
freqConfidences = scipy.zeros(smoothCount)
def idle(parent,canvas):
global path
global smoothFreq
global freqConfidences
byte2 = 0
byte3 = 0
byte4 = 0
while 1:
byte1 = byte2
byte2 = byte3
byte3 = byte4
byte4 = ord(ser.read())
if ((byte1 == 1) & (byte2 == 2) & (byte3 == 3) & (byte4 == 4)):
break
path = []
valArray = []
for i in range(nstart):
lo = ord(ser.read())
hi = ord(ser.read())
avgAmplitude = 0
avgZero = 0
for i in range(nloop):
lo = ord(ser.read())
hi = ord(ser.read())
reading = 256*hi + lo
val = reading/1024.0
valArray.append(val)
avgZero = (avgZero*i + val)/(i+1)
amplitude = abs(val - avgZero)
avgAmplitude = (avgAmplitude*i + amplitude)/(i+1)
plotLocation = NY*(1.0-val)
path.append(3*i)
path.append(plotLocation)
if avgAmplitude > maxPlotAmplitude:
plotAmplitude = maxPlotAmplitude
elif avgAmplitude < 0:
plotAmplitude = 0
else:
plotAmplitude = avgAmplitude
plotLocAvg = NY*(1.0-avgZero)
avgLine = [0,plotLocAvg,3*nloop,plotLocAvg]
canvas.delete("path")
canvas.create_line(path,tag="path",width=3,fill="#00b000")
canvas.delete("avgLine")
canvas.create_line(avgLine,tag="avgLine",width=1,fill="#ff0000")
y = (0.9 - 0.9*plotAmplitude/maxPlotAmplitude)*NY
canvas.itemconfigure("ampValue", text="%1.5f" % avgAmplitude)
canvas.coords('ampRed',3*NX,0,3*NX+barwidth,y)
canvas.coords('ampBlue',3*NX,y,3*NX+barwidth,0.9*NY)
freqData = scipy.fft(valArray).real
freqNormalizer = freqData[0] / 10
freqData = freqData[1:scipy.floor(nloop/2)]
freqPath = []
for i in range(freqData.size):
freqPath.append(6*i)
plotLocation = NY*(1.0 - (freqData[i] / freqNormalizer) )
freqPath.append(plotLocation)
canvas.delete("freqPath")
canvas.create_line(freqPath,tag="freqPath",width=3,fill="#0000b0")
dominantFreq = scipy.argmax(freqData)
confidence = freqData[dominantFreq]
freqConfidences = numpy.concatenate((freqConfidences[1:], scipy.array([confidence])))
dominantFreq = 1.0*dominantFreq / (freqData.size)
smoothFreq = numpy.concatenate((smoothFreq[1:], scipy.array([dominantFreq])))
confidenceWeights = freqConfidences / freqConfidences.sum()
weightedAvg = confidenceWeights * smoothFreq
dominantFreq = weightedAvg.sum()
y = (0.9 - 0.9*dominantFreq)*NY
canvas.itemconfigure("freqValue", text="%1.5f" % dominantFreq)
canvas.coords('freqRed',3*NX+barwidth,0,3*NX+2*barwidth,y)
canvas.coords('freqBlue',3*NX+barwidth,y,3*NX+2*barwidth,0.9*NY)
canvas.update()
parent.after_idle(idle,parent,canvas)
ser = serial.Serial('/dev/ttyUSB0',115200)
ser.setDTR()
root = Tk()
root.title('hello.mic.45.py')
root.bind('q','exit')
canvas = Canvas(root, width=3*NX+2*barwidth, height=NY, background='white')
canvas.create_rectangle(3*NX,0,3*NX+barwidth,.9*NY, tags='ampBlue', fill='#1000d0')
canvas.create_rectangle(3*NX,.9*NY,3*NX+barwidth,.9*NY, tags='ampRed', fill='#c03000')
canvas.create_rectangle(3*NX,.9*NY,3*NX+barwidth,NY, tags='amptextbox', fill='#eeeeee')
canvas.create_text(3*NX+barwidth/2,.95*NY,text="Amplitude",font=("Helvetica", 12),tags="ampLabel",fill="#000000")
canvas.create_text(3*NX+barwidth/2,.85*NY,text="0",font=("Helvetica", 12),tags="ampValue",fill="#ffffff")
canvas.create_rectangle(3*NX+barwidth,0,3*NX+2*barwidth,.9*NY, tags='freqBlue', fill='#1000d0')
canvas.create_rectangle(3*NX+barwidth,.9*NY,3*NX+2*barwidth,.9*NY, tags='freqRed', fill='#c03000')
canvas.create_rectangle(3*NX+barwidth,.9*NY,3*NX+2*barwidth,NY, tags='freqtextbox', fill='#eeeeee')
canvas.create_text(3*NX+3*barwidth/2,.95*NY,text="Freq.",font=("Helvetica", 12),tags="freqLabel",fill="#000000")
canvas.create_text(3*NX+3*barwidth/2,.85*NY,text="0",font=("Helvetica", 12),tags="freqValue",fill="#ffffff")
canvas.pack()
root.after(100,idle,root,canvas)
root.mainloop()