def Segment(NumberOfData):
ImgCount = 0
AllLength = 0
AllCorrect = 0
count = 0
WrongImgs = 0
for scanned in os.listdir('dataset/scannedTest'):
Path = 'dataset/scannedTest/' + scanned
# Path2 = 'dataset/scanned2/'+scanned
print(Path)
Img = cv2.imread(Path)
# Img2 = cv2.imread(Path2)
S = Segmentation(Img)
# S2 = Segmentation(Img2)
try:
S.Start()
# S2.Start()
except:
print("Error in reading image")
continue
Words = S.GetSegmentedWords()
# Words2 = S2.GetSegmentedWords()
for i in range(len(Words)):
WL = len(Words[i])
for j in range(WL):
name = str(ImgCount) + ".png"
cv2.imwrite("trainTest/" + name, Words[i][j])
ImgCount += 1
# AllLength += Length
# AllCorrect += Correct
count += 1
if count == NumberOfData:
break
# File.close()
# AllAccuracy = (AllCorrect / AllLength) * 100
# print("Segmentation Finished")
# print(str(WrongImgs) + " Failed Images")
# print("Testing on " + str(AllLength) + " Words ")
# print(str(AllCorrect) + " Are Correct")
# print("Accuracy : " + str(AllAccuracy) + "%")
return Words
def Test(Img):
S = Segmentation(Img)
S.Start()
Words = S.GetSegmentedWords()
Length = len(Words)
ImgCount = 0
for i in range(Length):
WL = len(Words[i])
for j in range(WL):
name = str(ImgCount) + ".png"
cv2.imwrite("Test/" + name, Words[i][j])
ImgCount += 1
return ImgCount
def Train(NumberOfData):
ImgCount = 0
AllLength = 0
AllCorrect = 0
count = 0
WrongImgs = 0
try:
shutil.rmtree("train")
except:
print("No train folder")
os.mkdir("train")
File = open("associtations.txt", "w")
# exit(0)
for scanned in os.listdir('dataset/scanned'):
Path = 'dataset/scanned/' + scanned
# Path2 = 'dataset/scanned2/'+scanned
print(Path)
Img = cv2.imread(Path)
S = Segmentation(Img)
try:
S.Start()
except:
print("Error in reading image")
continue
FileName = 'dataset/text/' + scanned[:-4] + '.txt'
print(FileName)
File = open(FileName, "r")
Lines = File.readlines()
RealWords = Lines[0].split(" ")
Words = S.GetSegmentedWords()
Length = len(RealWords)
print("================================")
print(Length)
print(len(Words))
# print(len(Words2))
if Length != len(Words):
print("Error in Words")
print("Number Of True Words: " + str(Length))
print("Number of Words: " + str(len(Words)))
WrongImgs += 1
continue
File = open("associtations.txt", "a")
Correct = 0
for i in range(Length):
WL = len(Words[i])
if WordLength(RealWords[i]) == WL:
Correct += 1
for j in range(WL):
name = str(ImgCount) + ".png"
Char = RealWords[i][j]
cv2.imwrite("train/" + name, Words[i][j])
if j < WL - 1:
if (RealWords[i][j] + RealWords[i][j + 1]) == "لا":
Char += 'ا'
File.write(str(Dict[Char]) + " " + name + "\n")
ImgCount += 1
print(str((Correct / Length) * 100) + "%")
print("================================")
AllLength += Length
AllCorrect += Correct
count += 1
if count == NumberOfData:
break
File.close()
AllAccuracy = (AllCorrect / AllLength) * 100
print("Segmentation Finished")
print(str(WrongImgs) + " Failed Images")
print("Testing on " + str(AllLength) + " Words ")
print(str(AllCorrect) + " Are Correct")
print("Accuracy : " + str(AllAccuracy) + "%")
