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Application.py
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Application.py
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# Importing Libraries
import numpy as np
import cv2
import os, sys
import time
import operator
from string import ascii_uppercase
import tkinter as tk
from PIL import Image, ImageTk
from hunspell import Hunspell
import enchant
from keras.models import model_from_json
os.environ["THEANO_FLAGS"] = "device=cuda, assert_no_cpu_op=True"
#Application :
class Application:
def __init__(self):
self.hs = Hunspell('en_US')
self.vs = cv2.VideoCapture(0)
self.current_image = None
self.current_image2 = None
self.json_file = open("Models\model_new.json", "r")
self.model_json = self.json_file.read()
self.json_file.close()
self.loaded_model = model_from_json(self.model_json)
self.loaded_model.load_weights("Models\model_new.h5")
self.json_file_dru = open("Models\model-bw_dru.json" , "r")
self.model_json_dru = self.json_file_dru.read()
self.json_file_dru.close()
self.loaded_model_dru = model_from_json(self.model_json_dru)
self.loaded_model_dru.load_weights("Models\model-bw_dru.h5")
self.json_file_tkdi = open("Models\model-bw_tkdi.json" , "r")
self.model_json_tkdi = self.json_file_tkdi.read()
self.json_file_tkdi.close()
self.loaded_model_tkdi = model_from_json(self.model_json_tkdi)
self.loaded_model_tkdi.load_weights("Models\model-bw_tkdi.h5")
self.json_file_smn = open("Models\model-bw_smn.json" , "r")
self.model_json_smn = self.json_file_smn.read()
self.json_file_smn.close()
self.loaded_model_smn = model_from_json(self.model_json_smn)
self.loaded_model_smn.load_weights("Models\model-bw_smn.h5")
self.ct = {}
self.ct['blank'] = 0
self.blank_flag = 0
for i in ascii_uppercase:
self.ct[i] = 0
print("Loaded model from disk")
self.root = tk.Tk()
self.root.title("Sign Language To Text Conversion")
self.root.protocol('WM_DELETE_WINDOW', self.destructor)
self.root.geometry("900x900")
self.panel = tk.Label(self.root)
self.panel.place(x = 100, y = 10, width = 580, height = 580)
self.panel2 = tk.Label(self.root) # initialize image panel
self.panel2.place(x = 400, y = 65, width = 275, height = 275)
self.T = tk.Label(self.root)
self.T.place(x = 60, y = 5)
self.T.config(text = "Sign Language To Text Conversion", font = ("Courier", 30, "bold"))
self.panel3 = tk.Label(self.root) # Current Symbol
self.panel3.place(x = 500, y = 540)
self.T1 = tk.Label(self.root)
self.T1.place(x = 10, y = 540)
self.T1.config(text = "Character :", font = ("Courier", 30, "bold"))
self.panel4 = tk.Label(self.root) # Word
self.panel4.place(x = 220, y = 595)
self.T2 = tk.Label(self.root)
self.T2.place(x = 10,y = 595)
self.T2.config(text = "Word :", font = ("Courier", 30, "bold"))
self.panel5 = tk.Label(self.root) # Sentence
self.panel5.place(x = 350, y = 645)
self.T3 = tk.Label(self.root)
self.T3.place(x = 10, y = 645)
self.T3.config(text = "Sentence :",font = ("Courier", 30, "bold"))
self.T4 = tk.Label(self.root)
self.T4.place(x = 250, y = 690)
self.T4.config(text = "Suggestions :", fg = "red", font = ("Courier", 30, "bold"))
self.bt1 = tk.Button(self.root, command = self.action1, height = 0, width = 0)
self.bt1.place(x = 26, y = 745)
self.bt2 = tk.Button(self.root, command = self.action2, height = 0, width = 0)
self.bt2.place(x = 325, y = 745)
self.bt3 = tk.Button(self.root, command = self.action3, height = 0, width = 0)
self.bt3.place(x = 625, y = 745)
self.str = ""
self.word = " "
self.current_symbol = "Empty"
self.photo = "Empty"
self.video_loop()
def video_loop(self):
ok, frame = self.vs.read()
if ok:
cv2image = cv2.flip(frame, 1)
x1 = int(0.5 * frame.shape[1])
y1 = 10
x2 = frame.shape[1] - 10
y2 = int(0.5 * frame.shape[1])
cv2.rectangle(frame, (x1 - 1, y1 - 1), (x2 + 1, y2 + 1), (255, 0, 0) ,1)
cv2image = cv2.cvtColor(cv2image, cv2.COLOR_BGR2RGBA)
self.current_image = Image.fromarray(cv2image)
imgtk = ImageTk.PhotoImage(image = self.current_image)
self.panel.imgtk = imgtk
self.panel.config(image = imgtk)
cv2image = cv2image[y1 : y2, x1 : x2]
gray = cv2.cvtColor(cv2image, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (5, 5), 2)
th3 = cv2.adaptiveThreshold(blur, 255 ,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 11, 2)
ret, res = cv2.threshold(th3, 70, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
self.predict(res)
self.current_image2 = Image.fromarray(res)
imgtk = ImageTk.PhotoImage(image = self.current_image2)
self.panel2.imgtk = imgtk
self.panel2.config(image = imgtk)
self.panel3.config(text = self.current_symbol, font = ("Courier", 30))
self.panel4.config(text = self.word, font = ("Courier", 30))
self.panel5.config(text = self.str,font = ("Courier", 30))
predicts = self.hs.suggest(self.word)
if(len(predicts) > 1):
self.bt1.config(text = predicts[0], font = ("Courier", 20))
else:
self.bt1.config(text = "")
if(len(predicts) > 2):
self.bt2.config(text = predicts[1], font = ("Courier", 20))
else:
self.bt2.config(text = "")
if(len(predicts) > 3):
self.bt3.config(text = predicts[2], font = ("Courier", 20))
else:
self.bt3.config(text = "")
self.root.after(5, self.video_loop)
def predict(self, test_image):
test_image = cv2.resize(test_image, (128, 128))
result = self.loaded_model.predict(test_image.reshape(1, 128, 128, 1))
result_dru = self.loaded_model_dru.predict(test_image.reshape(1 , 128 , 128 , 1))
result_tkdi = self.loaded_model_tkdi.predict(test_image.reshape(1 , 128 , 128 , 1))
result_smn = self.loaded_model_smn.predict(test_image.reshape(1 , 128 , 128 , 1))
prediction = {}
prediction['blank'] = result[0][0]
inde = 1
for i in ascii_uppercase:
prediction[i] = result[0][inde]
inde += 1
#LAYER 1
prediction = sorted(prediction.items(), key = operator.itemgetter(1), reverse = True)
self.current_symbol = prediction[0][0]
#LAYER 2
if(self.current_symbol == 'D' or self.current_symbol == 'R' or self.current_symbol == 'U'):
prediction = {}
prediction['D'] = result_dru[0][0]
prediction['R'] = result_dru[0][1]
prediction['U'] = result_dru[0][2]
prediction = sorted(prediction.items(), key = operator.itemgetter(1), reverse = True)
self.current_symbol = prediction[0][0]
if(self.current_symbol == 'D' or self.current_symbol == 'I' or self.current_symbol == 'K' or self.current_symbol == 'T'):
prediction = {}
prediction['D'] = result_tkdi[0][0]
prediction['I'] = result_tkdi[0][1]
prediction['K'] = result_tkdi[0][2]
prediction['T'] = result_tkdi[0][3]
prediction = sorted(prediction.items(), key = operator.itemgetter(1), reverse = True)
self.current_symbol = prediction[0][0]
if(self.current_symbol == 'M' or self.current_symbol == 'N' or self.current_symbol == 'S'):
prediction1 = {}
prediction1['M'] = result_smn[0][0]
prediction1['N'] = result_smn[0][1]
prediction1['S'] = result_smn[0][2]
prediction1 = sorted(prediction1.items(), key = operator.itemgetter(1), reverse = True)
if(prediction1[0][0] == 'S'):
self.current_symbol = prediction1[0][0]
else:
self.current_symbol = prediction[0][0]
if(self.current_symbol == 'blank'):
for i in ascii_uppercase:
self.ct[i] = 0
self.ct[self.current_symbol] += 1
if(self.ct[self.current_symbol] > 60):
for i in ascii_uppercase:
if i == self.current_symbol:
continue
tmp = self.ct[self.current_symbol] - self.ct[i]
if tmp < 0:
tmp *= -1
if tmp <= 20:
self.ct['blank'] = 0
for i in ascii_uppercase:
self.ct[i] = 0
return
self.ct['blank'] = 0
for i in ascii_uppercase:
self.ct[i] = 0
if self.current_symbol == 'blank':
if self.blank_flag == 0:
self.blank_flag = 1
if len(self.str) > 0:
self.str += " "
self.str += self.word
self.word = ""
else:
if(len(self.str) > 16):
self.str = ""
self.blank_flag = 0
self.word += self.current_symbol
def action1(self):
predicts = self.hs.suggest(self.word)
if(len(predicts) > 0):
self.word = ""
self.str += " "
self.str += predicts[0]
def action2(self):
predicts = self.hs.suggest(self.word)
if(len(predicts) > 1):
self.word = ""
self.str += " "
self.str += predicts[1]
def action3(self):
predicts = self.hs.suggest(self.word)
if(len(predicts) > 2):
self.word = ""
self.str += " "
self.str += predicts[2]
def action4(self):
predicts = self.hs.suggest(self.word)
if(len(predicts) > 3):
self.word = ""
self.str += " "
self.str += predicts[3]
def action5(self):
predicts = self.hs.suggest(self.word)
if(len(predicts) > 4):
self.word = ""
self.str += " "
self.str += predicts[4]
def destructor(self):
print("Closing Application...")
self.root.destroy()
self.vs.release()
cv2.destroyAllWindows()
print("Starting Application...")
(Application()).root.mainloop()