def enter():
global image
Letter.enter()
pass
def draw():
global image
clear_canvas()
UI.draw()
Letter.draw()
update_canvas()
pass
def createNgrams(self, n, indexes):
ngragms = [] # делаем n-грамы для каждого письма
for i in indexes: # перебираем индексы обучающих блоков
for letter in self.DATASETS[i]:
subject, text = getLetterNgram(n, letter)
ngragms.append(Letter.Letter(subject, text, letter.isSpam))
return ngragms
def toLetterArray(word): #Create a variable for the result to be added to result = [] #Create an array of the chars in the word chars = list(word) #Loop thourgh each letter in the word for l in chars: #Append a letter object to the results array with the current letter in the loop result.append(Letter.letter(l)) return result
def readLetter(file, isSpam):
f = open(file, 'r')
subjectLine = f.readline().split()
line = f.readline()
letterLine = f.readline().split()
subjectLine.remove("Subject:")
subject = [int(x) for x in subjectLine]
letter = [int(x) for x in letterLine]
f.close()
return Letter.Letter(subject.copy(), letter.copy(), isSpam)
def __init__(self, inputMatrix):
self.inputRows = inputMatrix.splitlines()
self.columnLength = len(self.inputRows)
if self.columnLength == 0:
self.rowLength = 0
else:
self.rowLength = len(self.inputRows[0])
self.rowIndices = range(self.columnLength)
self.columnIndices = range(self.rowLength)
if self.correctInput():
self.matrix = [[
Letter(self.inputRows[row][column], row, column)
for column in self.columnIndices
] for row in self.rowIndices]
else:
self.matrix = [[]]
def get_list_of_word_coordinates(corners):
AllLetters = [] # Turn letters into objects
counter = 0
for bx in corners:
width = abs(bx[1][0] - bx[0][0])
height = abs(bx[3][1] - bx[0][1])
if width * height == 0:
continue
#plt.plot([bx[0][0],bx[1][0]],[bx[0][1],bx[1][1]],'g-',linewidth=2)
#plt.plot([bx[1][0],bx[2][0]],[bx[1][1],bx[2][1]],'g-',linewidth=2)
#plt.plot([bx[2][0],bx[3][0]],[bx[2][1],bx[3][1]],'g-',linewidth=2)
#plt.plot([bx[3][0],bx[0][0]],[bx[3][1],bx[0][1]],'g-',linewidth=2)
newLetter = Letter.Letter([bx[0][0], bx[0][1]], [height, width],
counter)
AllLetters.append(newLetter)
counter += 1
AllLetters.sort(key=lambda letter: letter.getY() + letter.getHeight())
return AllLetters
bestCorner[3][1] = 0
###############################################
# Take letters and turn them into objects
AllLetters = []
counter = 0
for bx in corners:
width = abs(bx[1][0] - bx[0][0])
height = abs(bx[3][1] - bx[0][1])
if width*height == 0:
continue
plt.plot([bx[0][0],bx[1][0]],[bx[0][1],bx[1][1]],'g-',linewidth=2)
plt.plot([bx[1][0],bx[2][0]],[bx[1][1],bx[2][1]],'g-',linewidth=2)
plt.plot([bx[2][0],bx[3][0]],[bx[2][1],bx[3][1]],'g-',linewidth=2)
plt.plot([bx[3][0],bx[0][0]],[bx[3][1],bx[0][1]],'g-',linewidth=2)
newLetter = Letter.Letter([bx[0][0],bx[0][1]],[height,width],counter)
AllLetters.append(newLetter)
counter+=1
plt.imshow(th3,'gray')
plt.show()
plt.clf()
# sort letters
AllLetters.sort(key=lambda letter: letter.getY()+letter.getHeight())
#project the y coordinates of the letters on to
# the y axis
prjYCoords = []
for letter in AllLetters:
prjYCoords.append(letter.getY()+letter.getHeight())
plt.plot([letter.getX(),letter.getX()+letter.getWidth()],[letter.getY(),letter.getY()],'b-',linewidth=2)
plt.plot([letter.getX()+letter.getWidth(),letter.getX()+letter.getWidth()],[letter.getY(),letter.getY()+letter.getHeight()],'b-',linewidth=2)
import tensorflow as tf
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import Letter
IMG_WIDTH=8
IMG_HEIGHT=16
BATCH_SIZE=52152 - 1
letters = [None] * BATCH_SIZE
counter = 0
with open("sample/letter.data") as file:
for line_num, line in enumerate(file):
vals = line.split(" ")
_output = vals[1]
_input = [[None] * IMG_WIDTH] * IMG_HEIGHT
for i in range(0, IMG_HEIGHT)
for j in range(0, IMG_WIDTH)
_input[i][j] = vals[(i * IMG_HEIGHT) + j + 6]
letter = Letter(_input, _output)
letters[counter] = letter;
counter++
def update():
Letter.update()
pass