Image-Recognition/imagerec10.py at master · PythonProgramming/Image-Recognition · GitHub

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fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter

frommatplotlibimportstyle
style.use("ggplot")

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

imgFilePath='images/numbers/'+str(eachNum)+'.'+str(furtherNum)+'.png'
ei=Image.open(imgFilePath)
eiar=np.array(ei)
eiarl=str(eiar.tolist())

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


defthreshold(imageArray):
balanceAr= []
newAr=imageArray
foreachPartinimageArray:
forthePartsineachPart:
avgNum=reduce(lambdax, y: x+y, theParts[:3]) /len(theParts[: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:
try:
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
exceptExceptionase:
print(str(e))

x=Counter(matchedAr)
print(x)
graphX= []
graphY= []

ylimi=0

foreachThinginx:
graphX.append(eachThing)
graphY.append(x[eachThing])
ylimi=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')
whatNumIsThis('images/numbers/9.5.png')
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fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter

frommatplotlibimportstyle
style.use("ggplot")

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

imgFilePath='images/numbers/'+str(eachNum)+'.'+str(furtherNum)+'.png'
ei=Image.open(imgFilePath)
eiar=np.array(ei)
eiarl=str(eiar.tolist())

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


defthreshold(imageArray):
balanceAr= []
newAr=imageArray
foreachPartinimageArray:
forthePartsineachPart:
avgNum=reduce(lambdax, y: x+y, theParts[:3]) /len(theParts[: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:
try:
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
exceptExceptionase:
print(str(e))

x=Counter(matchedAr)
print(x)
graphX= []
graphY= []

ylimi=0

foreachThinginx:
graphX.append(eachThing)
graphY.append(x[eachThing])
ylimi=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')
whatNumIsThis('images/numbers/9.5.png')
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fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter

frommatplotlibimportstyle
style.use("ggplot")

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

imgFilePath='images/numbers/'+str(eachNum)+'.'+str(furtherNum)+'.png'
ei=Image.open(imgFilePath)
eiar=np.array(ei)
eiarl=str(eiar.tolist())

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


defthreshold(imageArray):
balanceAr= []
newAr=imageArray
foreachPartinimageArray:
forthePartsineachPart:
avgNum=reduce(lambdax, y: x+y, theParts[:3]) /len(theParts[: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:
try:
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
exceptExceptionase:
print(str(e))

x=Counter(matchedAr)
print(x)
graphX= []
graphY= []

ylimi=0

foreachThinginx:
graphX.append(eachThing)
graphY.append(x[eachThing])
ylimi=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')
whatNumIsThis('images/numbers/9.5.png')
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fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter

frommatplotlibimportstyle
style.use("ggplot")

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

imgFilePath='images/numbers/'+str(eachNum)+'.'+str(furtherNum)+'.png'
ei=Image.open(imgFilePath)
eiar=np.array(ei)
eiarl=str(eiar.tolist())

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


defthreshold(imageArray):
balanceAr= []
newAr=imageArray
foreachPartinimageArray:
forthePartsineachPart:
avgNum=reduce(lambdax, y: x+y, theParts[:3]) /len(theParts[: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:
try:
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
exceptExceptionase:
print(str(e))

x=Counter(matchedAr)
print(x)
graphX= []
graphY= []

ylimi=0

foreachThinginx:
graphX.append(eachThing)
graphY.append(x[eachThing])
ylimi=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')
whatNumIsThis('images/numbers/9.5.png')
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fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter

frommatplotlibimportstyle
style.use("ggplot")

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

imgFilePath='images/numbers/'+str(eachNum)+'.'+str(furtherNum)+'.png'
ei=Image.open(imgFilePath)
eiar=np.array(ei)
eiarl=str(eiar.tolist())

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


defthreshold(imageArray):
balanceAr= []
newAr=imageArray
foreachPartinimageArray:
forthePartsineachPart:
avgNum=reduce(lambdax, y: x+y, theParts[:3]) /len(theParts[: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:
try:
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
exceptExceptionase:
print(str(e))

x=Counter(matchedAr)
print(x)
graphX= []
graphY= []

ylimi=0

foreachThinginx:
graphX.append(eachThing)
graphY.append(x[eachThing])
ylimi=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')
whatNumIsThis('images/numbers/9.5.png')
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fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter

frommatplotlibimportstyle
style.use("ggplot")

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

imgFilePath='images/numbers/'+str(eachNum)+'.'+str(furtherNum)+'.png'
ei=Image.open(imgFilePath)
eiar=np.array(ei)
eiarl=str(eiar.tolist())

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


defthreshold(imageArray):
balanceAr= []
newAr=imageArray
foreachPartinimageArray:
forthePartsineachPart:
avgNum=reduce(lambdax, y: x+y, theParts[:3]) /len(theParts[: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:
try:
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
exceptExceptionase:
print(str(e))

x=Counter(matchedAr)
print(x)
graphX= []
graphY= []

ylimi=0

foreachThinginx:
graphX.append(eachThing)
graphY.append(x[eachThing])
ylimi=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')
whatNumIsThis('images/numbers/9.5.png')
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fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter

frommatplotlibimportstyle
style.use("ggplot")

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

imgFilePath='images/numbers/'+str(eachNum)+'.'+str(furtherNum)+'.png'
ei=Image.open(imgFilePath)
eiar=np.array(ei)
eiarl=str(eiar.tolist())

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


defthreshold(imageArray):
balanceAr= []
newAr=imageArray
foreachPartinimageArray:
forthePartsineachPart:
avgNum=reduce(lambdax, y: x+y, theParts[:3]) /len(theParts[: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:
try:
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
exceptExceptionase:
print(str(e))

x=Counter(matchedAr)
print(x)
graphX= []
graphY= []

ylimi=0

foreachThinginx:
graphX.append(eachThing)
graphY.append(x[eachThing])
ylimi=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')
whatNumIsThis('images/numbers/9.5.png')
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fromPILimportImage
importnumpyasnp
importmatplotlib.pyplotasplt
importtime
fromcollectionsimportCounter

frommatplotlibimportstyle
style.use("ggplot")

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

imgFilePath='images/numbers/'+str(eachNum)+'.'+str(furtherNum)+'.png'
ei=Image.open(imgFilePath)
eiar=np.array(ei)
eiarl=str(eiar.tolist())

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


defthreshold(imageArray):
balanceAr= []
newAr=imageArray
foreachPartinimageArray:
forthePartsineachPart:
avgNum=reduce(lambdax, y: x+y, theParts[:3]) /len(theParts[: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:
try:
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
exceptExceptionase:
print(str(e))

x=Counter(matchedAr)
print(x)
graphX= []
graphY= []

ylimi=0

foreachThinginx:
graphX.append(eachThing)
graphY.append(x[eachThing])
ylimi=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')
whatNumIsThis('images/numbers/9.5.png')