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

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

fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter


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

foreachNuminnumbersWeHave:
foreachVerinversionsWeHave:
#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)


defthreshold(imageArray):
balanceAr= []
newAr=imageArray

foreachRowinimageArray:
foreachPixineachRow:
avgNum=reduce(lambdax, y: x+y, eachPix[:3])/len(eachPix[:3])
balanceAr.append(avgNum)
balance=reduce(lambdax, y: x+y, balanceAr)/len(balanceAr)

foreachRowinnewAr:
foreachPixineachRow:
ifreduce(lambdax, 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

returnnewAr


defwhatNumIsThis(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)

foreachExampleinloadExamps:
iflen(eachExample) >3:
splitEx=eachExample.split('::')
currentNum=splitEx[0]
currentAr=splitEx[1]

eachPixEx=currentAr.split('],')

eachPixInQ=inQuestion.split('],')

x=0

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

x+=1


printmatchedAr
x=Counter(matchedAr)
printx


graphX= []
graphY= []

foreachThinginx:
printeachThing
graphX.append(eachThing)
printx[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')


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

fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter


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

foreachNuminnumbersWeHave:
foreachVerinversionsWeHave:
#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)


defthreshold(imageArray):
balanceAr= []
newAr=imageArray

foreachRowinimageArray:
foreachPixineachRow:
avgNum=reduce(lambdax, y: x+y, eachPix[:3])/len(eachPix[:3])
balanceAr.append(avgNum)
balance=reduce(lambdax, y: x+y, balanceAr)/len(balanceAr)

foreachRowinnewAr:
foreachPixineachRow:
ifreduce(lambdax, 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

returnnewAr


defwhatNumIsThis(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)

foreachExampleinloadExamps:
iflen(eachExample) >3:
splitEx=eachExample.split('::')
currentNum=splitEx[0]
currentAr=splitEx[1]

eachPixEx=currentAr.split('],')

eachPixInQ=inQuestion.split('],')

x=0

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

x+=1


printmatchedAr
x=Counter(matchedAr)
printx


graphX= []
graphY= []

foreachThinginx:
printeachThing
graphX.append(eachThing)
printx[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')


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

fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter


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

foreachNuminnumbersWeHave:
foreachVerinversionsWeHave:
#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)


defthreshold(imageArray):
balanceAr= []
newAr=imageArray

foreachRowinimageArray:
foreachPixineachRow:
avgNum=reduce(lambdax, y: x+y, eachPix[:3])/len(eachPix[:3])
balanceAr.append(avgNum)
balance=reduce(lambdax, y: x+y, balanceAr)/len(balanceAr)

foreachRowinnewAr:
foreachPixineachRow:
ifreduce(lambdax, 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

returnnewAr


defwhatNumIsThis(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)

foreachExampleinloadExamps:
iflen(eachExample) >3:
splitEx=eachExample.split('::')
currentNum=splitEx[0]
currentAr=splitEx[1]

eachPixEx=currentAr.split('],')

eachPixInQ=inQuestion.split('],')

x=0

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

x+=1


printmatchedAr
x=Counter(matchedAr)
printx


graphX= []
graphY= []

foreachThinginx:
printeachThing
graphX.append(eachThing)
printx[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')


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

fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter


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

foreachNuminnumbersWeHave:
foreachVerinversionsWeHave:
#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)


defthreshold(imageArray):
balanceAr= []
newAr=imageArray

foreachRowinimageArray:
foreachPixineachRow:
avgNum=reduce(lambdax, y: x+y, eachPix[:3])/len(eachPix[:3])
balanceAr.append(avgNum)
balance=reduce(lambdax, y: x+y, balanceAr)/len(balanceAr)

foreachRowinnewAr:
foreachPixineachRow:
ifreduce(lambdax, 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

returnnewAr


defwhatNumIsThis(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)

foreachExampleinloadExamps:
iflen(eachExample) >3:
splitEx=eachExample.split('::')
currentNum=splitEx[0]
currentAr=splitEx[1]

eachPixEx=currentAr.split('],')

eachPixInQ=inQuestion.split('],')

x=0

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

x+=1


printmatchedAr
x=Counter(matchedAr)
printx


graphX= []
graphY= []

foreachThinginx:
printeachThing
graphX.append(eachThing)
printx[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')


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

fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter


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

foreachNuminnumbersWeHave:
foreachVerinversionsWeHave:
#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)


defthreshold(imageArray):
balanceAr= []
newAr=imageArray

foreachRowinimageArray:
foreachPixineachRow:
avgNum=reduce(lambdax, y: x+y, eachPix[:3])/len(eachPix[:3])
balanceAr.append(avgNum)
balance=reduce(lambdax, y: x+y, balanceAr)/len(balanceAr)

foreachRowinnewAr:
foreachPixineachRow:
ifreduce(lambdax, 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

returnnewAr


defwhatNumIsThis(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)

foreachExampleinloadExamps:
iflen(eachExample) >3:
splitEx=eachExample.split('::')
currentNum=splitEx[0]
currentAr=splitEx[1]

eachPixEx=currentAr.split('],')

eachPixInQ=inQuestion.split('],')

x=0

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

x+=1


printmatchedAr
x=Counter(matchedAr)
printx


graphX= []
graphY= []

foreachThinginx:
printeachThing
graphX.append(eachThing)
printx[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')


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

fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter


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

foreachNuminnumbersWeHave:
foreachVerinversionsWeHave:
#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)


defthreshold(imageArray):
balanceAr= []
newAr=imageArray

foreachRowinimageArray:
foreachPixineachRow:
avgNum=reduce(lambdax, y: x+y, eachPix[:3])/len(eachPix[:3])
balanceAr.append(avgNum)
balance=reduce(lambdax, y: x+y, balanceAr)/len(balanceAr)

foreachRowinnewAr:
foreachPixineachRow:
ifreduce(lambdax, 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

returnnewAr


defwhatNumIsThis(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)

foreachExampleinloadExamps:
iflen(eachExample) >3:
splitEx=eachExample.split('::')
currentNum=splitEx[0]
currentAr=splitEx[1]

eachPixEx=currentAr.split('],')

eachPixInQ=inQuestion.split('],')

x=0

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

x+=1


printmatchedAr
x=Counter(matchedAr)
printx


graphX= []
graphY= []

foreachThinginx:
printeachThing
graphX.append(eachThing)
printx[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')


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

fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter


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

foreachNuminnumbersWeHave:
foreachVerinversionsWeHave:
#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)


defthreshold(imageArray):
balanceAr= []
newAr=imageArray

foreachRowinimageArray:
foreachPixineachRow:
avgNum=reduce(lambdax, y: x+y, eachPix[:3])/len(eachPix[:3])
balanceAr.append(avgNum)
balance=reduce(lambdax, y: x+y, balanceAr)/len(balanceAr)

foreachRowinnewAr:
foreachPixineachRow:
ifreduce(lambdax, 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

returnnewAr


defwhatNumIsThis(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)

foreachExampleinloadExamps:
iflen(eachExample) >3:
splitEx=eachExample.split('::')
currentNum=splitEx[0]
currentAr=splitEx[1]

eachPixEx=currentAr.split('],')

eachPixInQ=inQuestion.split('],')

x=0

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

x+=1


printmatchedAr
x=Counter(matchedAr)
printx


graphX= []
graphY= []

foreachThinginx:
printeachThing
graphX.append(eachThing)
printx[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')


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

fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter


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

foreachNuminnumbersWeHave:
foreachVerinversionsWeHave:
#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)


defthreshold(imageArray):
balanceAr= []
newAr=imageArray

foreachRowinimageArray:
foreachPixineachRow:
avgNum=reduce(lambdax, y: x+y, eachPix[:3])/len(eachPix[:3])
balanceAr.append(avgNum)
balance=reduce(lambdax, y: x+y, balanceAr)/len(balanceAr)

foreachRowinnewAr:
foreachPixineachRow:
ifreduce(lambdax, 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

returnnewAr


defwhatNumIsThis(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)

foreachExampleinloadExamps:
iflen(eachExample) >3:
splitEx=eachExample.split('::')
currentNum=splitEx[0]
currentAr=splitEx[1]

eachPixEx=currentAr.split('],')

eachPixInQ=inQuestion.split('],')

x=0

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

x+=1


printmatchedAr
x=Counter(matchedAr)
printx


graphX= []
graphY= []

foreachThinginx:
printeachThing
graphX.append(eachThing)
printx[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')