Image-Recognition/imagerec.py at master · PythonProgramming/Image-Recognition · GitHub

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# if you are on 32 bit OS:
# import Image

from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import time
from collections import Counter


def createExamples():
    numberArrayExamples = open('numArEx.txt','a')
    numbersWeHave = range(0,10)
    versionsWeHave = range(1,10)

    for eachNum in numbersWeHave:
        for eachVer in versionsWeHave:
            #print str(eachNum)+'.'+str(eachVer)
            imgFilePath = 'images/numbers/'+str(eachNum)+'.'+str(eachVer)+'.png'
            ei = Image.open(imgFilePath)
            eiar = np.array(ei)
            eiar1 = str(eiar.tolist())

            lineToWrite = str(eachNum)+'::'+eiar1+'\n'
            numberArrayExamples.write(lineToWrite)


def threshold(imageArray):
    balanceAr = []
    newAr = imageArray

    for eachRow in imageArray:
        for eachPix in eachRow:
            avgNum = reduce(lambda x, y: x + y, eachPix[:3])/len(eachPix[:3])
            balanceAr.append(avgNum)
    balance = reduce(lambda x, y: x + y, balanceAr)/len(balanceAr)

    for eachRow in newAr:
        for eachPix in eachRow:
            if reduce(lambda x, y: x + y, eachPix[:3])/len(eachPix[:3]) > balance:
                eachPix[0] = 255
                eachPix[1] = 255
                eachPix[2] = 255
                eachPix[3] = 255

            else:
                eachPix[0] = 0
                eachPix[1] = 0
                eachPix[2] = 0
                eachPix[3] = 255

    return newAr


def whatNumIsThis(filePath):
    matchedAr = []
    loadExamps = open('numArEx.txt','r').read()
    loadExamps = loadExamps.split('\n')

    i = Image.open(filePath)
    iar = np.array(i)
    iarl = iar.tolist()

    inQuestion = str(iarl)

    for eachExample in loadExamps:
        if len(eachExample) > 3:
            splitEx = eachExample.split('::')
            currentNum = splitEx[0]
            currentAr = splitEx[1]

            eachPixEx = currentAr.split('],')

            eachPixInQ = inQuestion.split('],')

            x=0

            while x < len(eachPixEx):
                if eachPixEx[x] == eachPixInQ[x]:
                    matchedAr.append(int(currentNum))

                x += 1


    print matchedAr
    x = Counter(matchedAr)
    print x


    graphX = []
    graphY = []

    for eachThing in x:
        print eachThing
        graphX.append(eachThing)
        print x[eachThing]
        graphY.append(x[eachThing])


    fig = plt.figure()
    ax1 = plt.subplot2grid((4,4),(0,0), rowspan=1, colspan=4)
    ax2 = plt.subplot2grid((4,4),(1,0), rowspan=3, colspan=4)

    ax1.imshow(iar)
    ax2.bar(graphX,graphY, align='center')
    plt.ylim(400)

    xloc = plt.MaxNLocator(12)

    ax2.xaxis.set_major_locator(xloc)


    plt.show()


whatNumIsThis('images/test.png')