def preProcessing(filename, folderPath):
print(filename)
d = showpoints('Original Plot', filename, folderPath)
d = interpolation(d)
final_features = features(d)
#print(filename[0:2])
target = int(filename[0:2])
final_features.insert(0, target)
# print(final_features)
# print(len(final_features))
title_row = ['Label']
for i in range(360):
title_row.append(i + 1)
filename = os.path.expanduser("training_dataset_telugu.csv")
# print(filename)
if os.path.exists(filename):
# print('exists')
append_write = 'a' # append if already exists...
else:
# print('not exist')
append_write = 'w+' # make a new file if not
myFile = open(filename, append_write, newline='')
with myFile:
writer = csv.writer(myFile)
writer.writerow(final_features)
myFile.close()
def strokeSeg(content):
strokesList = []
tempStrokeList = []
strokeLabelsList = []
# folderPath = r'C:\Users\Sanya\PycharmProjects\Online_Indic_Handwriting_Recognition'
# fileName = input('Enter the file name:')
# path = fileName
#with open('Krish.txt', 'r', encoding='utf8') as f:
#content = f.readlines()
# content=44(1).txt
# print(content)
content = [z.strip().split(',') for z in content]
# print(content)
for item in content:
if (item[2] == '0'):
item[0] = float(item[0])
item[1] = float(item[1])
item[2] = float(item[2])
tempStrokeList.append(item)
else:
strokesList.append(tempStrokeList)
tempStrokeList = []
# print(strokesList[1])
for stroke in strokesList:
s = interpolation(stroke)
final_features = features(s)
strokeLabel = predictStrokeLabel(final_features)
#print(strokeLabel)
strokeLabelsList.append(strokeLabel)
strokeLabelsList.sort()
#print(strokeLabelsList)
strLabel = '.'.join(str(e) for e in strokeLabelsList)
print(strLabel)
fo = open("hindifinal.txt", "r",encoding="utf8")
#letter = ["पुनः पय।स करें।"]
letter= ["Try"]
for i in fo:
i=i.rstrip() #returns each line as string removing the last \n character
if strLabel == i:
letter[0] =next(fo)
# print(next(fo), end='')
break
fo.close()
# compareLabel(strokeLabelsList)
# return strokeLabelsList
return letter
def strokeSeg(content):
strokesList = []
tempStrokeList = []
strokeLabelsList = []
# folderPath = 'C:\\Users\\DEDSEC\\OneDrive\\Documents\\VSCode\\Minor Project\\On-Line-Handwriting-Recognition\\Letter Test Samples\\Working'
# fileName = input('Enter the file name:')
# path = folderPath + '\\'+ fileName
# with open(path) as f:
# content = f.readlines()
content = [z.strip().split(',') for z in content]
for item in content:
if (item[2] == '0'):
item[0] = float(item[0])
item[1] = float(item[1])
item[2] = float(item[2])
tempStrokeList.append(item)
else:
strokesList.append(tempStrokeList)
tempStrokeList = []
#print(strokesList[1])
for stroke in strokesList:
s = interpolation(stroke)
final_features = features(s)
strokeLabel = predictStrokeLabel(final_features)
print(strokeLabel)
strokeLabelsList.append(strokeLabel)
strokeLabelsList.sort()
return strokeLabelsList
def strokeSeg(content):
strokesList = []
tempStrokeList=[]
strokeLabelsList = []
x = pd.read_csv("training_dataset.csv")
print(np.isnan(x))
c = np.array(x)
y = c[:, 0]
x.drop(["Class"], axis=1, inplace=True)
a = np.array(x)
lab_enc = preprocessing.LabelEncoder()
clf = SVC(C=1.0, kernel='poly', degree=3, gamma=2)
clf.fit(x, y)
def predictStrokeLabel(featuresList,clf):
result = clf.predict([featuresList])
return int(result[0])
# folderPath = 'C:\\Users\\DEDSEC\\OneDrive\\Documents\\VSCode\\Minor Project\\On-Line-Handwriting-Recognition\\Letter Test Samples\\Working'
# fileName = input('Enter the file name:')
# path = folderPath + '\\'+ fileName
# with open(path) as f:
# content = f.readlines()
content = [z.strip().split(',') for z in content]
for item in content:
if(item[2]=='0'):
item[0]=float(item[0])
item[1]=float(item[1])
item[2]=float(item[2])
tempStrokeList.append(item)
else:
strokesList.append(tempStrokeList)
tempStrokeList=[]
#print(strokesList[1])
for stroke in strokesList:
s = interpolation(stroke)
final_features = features(s)
strokeLabel = predictStrokeLabel(final_features,clf)
print(strokeLabel)
strokeLabelsList.append(strokeLabel)
strokeLabelsList.sort()
#return strokeLabelsList
strLabel = '.'.join(str(e) for e in strokeLabelsList)
print(strLabel)
fo = open("hindidic.txt", "r",encoding="utf8")
#letter = ["पुनः पय।स करें।"]
letter= ["Try"]
for i in fo:
i=i.rstrip() #returns each line as string removing the last \n character
if strLabel == i:
letter[0] =next(fo).rstrip()
# print(next(fo), end='')
break
fo.close()
# compareLabel(strokeLabelsList)
# return strokeLabelsList
print(letter)
return letter