DSZI_2020_Projekt/Restaurant/main.py
2020-05-24 20:36:03 +02:00

824 lines
26 KiB
Python

import pygame
import random
import time
import queue
import math
import joblib
from keras.models import load_model, Sequential
from keras.preprocessing.image import img_to_array, load_img
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense
from keras import backend as K
from tkinter import messagebox
import tkinter as tk
from PIL import Image
root = tk.Tk()
root.withdraw() #ukrycie okna tworzonego przez tkinter
pygame.init()
def heuristic(current, goal):
dx = abs(current[0] - goal[0])
dy = abs(current[1] - goal[1])
return math.sqrt(dx * dx + dy * dy)
class Node():
def __init__(self, parent = None, position = None):
self.parent = parent
self.position = position
self.g = 0
self.h = 0
self.f = 0
def __eq__(self, other):
return self.position == other.position
def aStar(start, end):
if end in cantwalk:
print("Wybrano nieodpowiednie pole!")
return []
start_node = Node(None, start)
start_node.g = start_node.h = start_node.f = 0
end_node = Node(None, end)
end_node.g = end_node.h = end_node.f = 0
open_list = []
closed_list = []
open_list.append(start_node)
while len(open_list) > 0:
current_node = open_list[0]
current_index = 0
for index, item in enumerate(open_list):
if item.f < current_node.f:
current_node = item
current_index = index
open_list.pop(current_index)
closed_list.append(current_node)
if current_node == end_node:
path = []
current = current_node
while current is not None:
path.append(current.position)
current = current.parent
return list(map(lambda t: (t[0], t[1]), path[::-1])) #zwraca odwróconą ściezkę
children = []
# można dodać (-1, -1), (-1, 1), (1, -1), (1, 1) dla poruszania się po przekątnej
for new_position in [(0, -1), (0, 1), (-1, 0), (1, 0)]:
node_position = (current_node.position[0] + new_position[0], current_node.position[1]
+ new_position[1])
if node_position[0] >= (rows - 1) or node_position[0] <= 0 or node_position[1] >= (rows - 1) \
or node_position[1] <= 0: #spr. czy w kracie
continue
if node_position in cantwalk: #spr. czy można przejść
continue
new_node = Node(current_node, node_position)
children.append(new_node)
didBreak = False
for child in children:
didBreak = False
for closed_child in closed_list:
if child == closed_child:
didBreak = True
break
if didBreak:
continue
if child.position in cantwalk:
child.g = current_node.g + 99999
elif child.position in puddles:
child.g = current_node.g + 3
else:
child.g = current_node.g + 1
child.h = heuristic(child.position, end_node.position)
child.f = child.g + child.h
for open_node in open_list:
if child == open_node and child.g > open_node.g:
didBreak = True
break
if didBreak:
continue
open_list.append(child)
class Dish(object):
def __init__(self, dishName, prepTime, eatTime, price):
self.dishName = dishName
self.preparationTime = prepTime
self.eatingTime = eatTime
self.price = int(price)
self.fatContent = random.randint(0, 16)
self.fiberContent = random.randint(0, 16)
self.spicy = random.randint(0, 5)
class Plate(object):
def __init__(self, dish, img=None):
self.dishName = dish.dishName
self.isEmpty = False
self.preparationTime = dish.preparationTime
self.eatingTime = dish.eatingTime
self.price = dish.price
self.img = img
def eat(self):
#time.sleep(self.eatingTime) psuje program - nie używajcie
self.isEmpty = True #zjadanie dania jest oznaczeniem talerza jako pusty (metoda będzie wywoływana przez klienta)
def draw(self):
load = Image.open(self.img)
load.show()
class Kitchen(object):
def __init__(self, pos):
self.readyDishes = queue.Queue(32) #kolejka o maksymalnej długości 32
self.orders = queue.Queue(32) #wyskakiwał mi tu błąd - poprawiłam na dużą literę i jest ok
self.pos = pos
def makeDish(self):
if not self.orders.empty():
plate = self.orders.get()
time.sleep(plate.preparationTime) #kuchnia przygotowuje danie przez określony czas
self.readyDishes.put(plate)
def giveDish(self):
if not self.readyDishes.empty():
plate = self.readyDishes.get()
return plate
else:
return None
def draw(self, surface):
image1 = pygame.image.load(r'kitchen1.png')
image1 = pygame.transform.scale(image1, (sizeBetween - 1, sizeBetween - 1))
surface.blit(image1, (13*sizeBetween+1, 0*sizeBetween+1))
image2 = pygame.image.load(r'kitchen2.png')
image2 = pygame.transform.scale(image2, (sizeBetween - 1, sizeBetween - 1))
surface.blit(image2, (14*sizeBetween+1, 0*sizeBetween+1))
image3 = pygame.image.load(r'kitchen3.png')
image3 = pygame.transform.scale(image3, (sizeBetween - 1, sizeBetween - 1))
surface.blit(image3, (13*sizeBetween+1, 1*sizeBetween+1))
image4 = pygame.image.load(r'kitchen4.png')
image4 = pygame.transform.scale(image4, (sizeBetween - 1, sizeBetween - 1))
surface.blit(image4, (14*sizeBetween+1, 1*sizeBetween+1))
class Client(object):
def __init__(self, age, sex, table, budget):
self.age = age
self.sex = sex
self.myPlate = None
self.myTable = table #domyślnie klient nie siedzi przy żadnym stole
self.budget = budget
def takePlateAndEat(self, plate):
self.myPlate = plate
plate.eat()
def takeASeat(self, table):
self.myTable = table
def returnPlate(self):
plate = self.myPlate
self.myPlate = None
return plate
def pay(self, image):
load = Image.open(image)
load.show()
class Table(object):
def __init__(self, pos, capacity):
self.pos = pos
self.capacity = capacity
def move(self, newx, newy): #metoda do ustawiania stołów poprzez podanie nowych współrzędnych
self.pos[0] = newx
self.pos[1] = newy
def draw(self, surface):
image = pygame.image.load(r'Table-croped.png')
image = pygame.transform.scale(image, (sizeBetween - 1, sizeBetween - 1))
i = self.pos[0]
j = self.pos[1]
surface.blit(image, (i*sizeBetween+1, j*sizeBetween+1))
class Waiter(object):
def __init__(self, color, pos, direction):
self.color = color
self.pos = pos #pozycja agenta, zapisana w formie dwuelementowej listy
self.posx = pos[0]
self.posy = pos[1]
self.dirnx = 0 #zmienne dirnx i dirny używane są do ruchu bota i ustalania, w którą stronę jest zwrócony
self.dirny = 1
self.plates = [] #lista niesionych przez agenta talerzy, planowo lista par: (talerz, klient)
self.direction = direction #kierunek, w ktory jest skierowany bot
self.currentRotation = 0
self.rotate = "forward"
self.rotationNumber = 0
def resetPosition(self, pos):
self.pos = pos
def takePlates(self, kitchen):
for i in range(2):
plate = kitchen.giveDish()
if plate == None:
break
else:
self.plates.append(plate)
def giveClientPlate(self, client):
plate = self.plates.pop(0)
client.takePlateAndEat(plate)
def rotateRight(self):
self.currentRotation += 90
def rotateLeft(self):
self.currentRotation -= 90
def goForward(self, movex, movey):
self.posx += movex
self.posy += movey
self.pos = (self.posx, self.posy)
def draw(self, surface):
image = pygame.image.load(r'waiter_right.png')
image = pygame.transform.scale(image, (sizeBetween - 1, sizeBetween - 1))
if self.rotate == "right":
self.rotateRight()
elif self.rotate == "left":
self.rotateLeft()
elif self.direction == "forward":
pass
image = pygame.transform.rotate(image, self.currentRotation)
i = self.pos[0]
j = self.pos[1]
surface.blit(image, (i * sizeBetween + 1, j * sizeBetween + 1))
def goByAStar(self, end):
positionList = aStar(self.pos, end)
print(positionList)
if len(positionList) == 0:
messagebox.showerror("BŁĄD!", "Wybrano nieosiągalne pole!")
pygame.quit()
exit()
else:
lenght = len(positionList) - 1
for i in range(lenght):
movex = positionList[i + 1][0] - positionList[i][0]
movey = positionList[i + 1][1] - positionList[i][1]
prevDirection = self.direction
if movex == -1 and movey == 0:
self.direction = 1 #"left"
elif movex == 1 and movey == 0:
self.direction = 3 #"right"
elif movey == 1 and movex == 0:
self.direction = 4 #"down"
else:
self.direction = 2 #"up"
howToRotate = prevDirection - self.direction #działa!
if howToRotate < 0:
self.rotate = "left"
self.rotationNumber = abs(howToRotate)
elif howToRotate > 0:
self.rotate = "right"
self.rotationNumber = abs(howToRotate)
elif howToRotate == 0:
self.rotate = "forward"
self.rotationNumber = 0
#print(self.rotate)
for i in range(self.rotationNumber):
redrawWindow(window)
time.sleep(0.2)
self.rotate = "forward"
self.rotationNumber = 0
self.goForward(movex, movey)
redrawWindow(window)
time.sleep(0.2)
def drawGrid(width, rows, surface):
x = 0
y = 0
for i in range(rows):
x = x + sizeBetween
y = y + sizeBetween
pygame.draw.line(surface, (255, 255, 255), (x, 0), (x, width))
pygame.draw.line(surface, (255, 255, 255), (0, y), (width, y))
def predictAndShowImg(plate):
img_width, img_height = 256, 256
plate.draw()
test_image = load_img(plate.img, target_size=(img_width, img_height))
test_image = img_to_array(test_image)
test_image = test_image.reshape((1,) + test_image.shape)
result = img_classify.predict(test_image)
print(result)
if (result == [1.]):
messagebox.showinfo("Rozpoznanie", "Talerz pełny.")
return 1
else:
messagebox.showinfo("Rozpoznanie", "Talerz pusty.")
return 0
def checkIfEmpty(fullOrEmpty, client):
if fullOrEmpty == 1:
pass
elif fullOrEmpty == 0:
client.returnPlate()
bot.goByAStar((kitchen.pos[0] - 1, kitchen.pos[1]))
def classify(a):
if a == 1:
dish_1 = Dish("obiad", 40, 20, 15)
dish_2 = Dish("deser", 25, 10, 10)
dish_3 = Dish("obiad 2", 55, 25, 28)
plate_1 = Plate(dish_1, "Sara/data/validation/food/food004.png")
plate_2 = Plate(dish_2, "Sara/data/validation/food/food002.png")
plate_3 = Plate(dish_1, "Sara/data/validation/dirty/dirty001.png")
plate_4 = Plate(dish_3, "Sara/data/validation/dirty/dirty009.png")
client_1 = Client(21, 1, 45, 1)
client_2 = Client(44, 0, 22, 4)
client_3 = Client(27, 1, 15, 5)
client_4 = Client(19, 0, 32, 8)
client_1.takePlateAndEat(plate_1)
client_2.takePlateAndEat(plate_2)
client_3.takePlateAndEat(plate_3)
client_4.takePlateAndEat(plate_4)
'''
TRASA + ROZPOZNAWANIE TALERZY
'''
bot.goByAStar((tables[1].pos[0] + 1, tables[1].pos[1]))
fullOrEmpty = predictAndShowImg(plate_1)
checkIfEmpty(fullOrEmpty, client_1)
bot.goByAStar((tables[4].pos[0] + 1, tables[4].pos[1]))
fullOrEmpty = predictAndShowImg(plate_2)
checkIfEmpty(fullOrEmpty, client_2)
bot.goByAStar((tables[5].pos[0] + 1, tables[5].pos[1]))
fullOrEmpty = predictAndShowImg(plate_3)
checkIfEmpty(fullOrEmpty, client_3)
bot.goByAStar((tables[8].pos[0] + 1, tables[8].pos[1]))
fullOrEmpty = predictAndShowImg(plate_4)
checkIfEmpty(fullOrEmpty, client_4)
messagebox.showinfo("Informacja końcowa", "Zakończono trasę.")
pygame.quit()
exit()
else:
pass
def predictDigest(dish, client, model):
data = []
data.append(client.age)
data.append(dish.fatContent)
data.append(dish.fiberContent)
data.append(client.sex)
data.append(dish.spicy)
prediction = model.predict([data])
if prediction == 1:
messagebox.showinfo("opinia", "Z tym może być ciężko. " + str(data))
return prediction
else:
messagebox.showinfo("opinia", "Z tym nie będzie tak źle! " + str(data))
return prediction
def ShowImg(file):
zdjęcie = Image.open(file)
zdjęcie.show()
def show_predict(dish, client, model):
data = []
data.append(client.age)
data.append(dish.fatContent)
data.append(dish.fiberContent)
data.append(client.sex)
data.append(dish.spicy)
prediction = model.predict([data])
if prediction == 1:
ShowImg("Natalia/danie1.png")
return prediction
elif prediction == 2:
ShowImg("Natalia/danie2.png")
return prediction
elif prediction == 3:
ShowImg("Natalia/danie3.png")
return prediction
elif prediction == 4:
ShowImg("Natalia/danie4.png")
return prediction
elif prediction == 5:
ShowImg("Natalia/danie5.png")
return prediction
elif prediction == 6:
ShowImg("Natalia/danie6.png")
return prediction
else:
ShowImg("Natalia/danie7.png")
return prediction
def evaluate(b):
if b == 1:
loaded_model = joblib.load('Marta/finalized_model.sav')
# load = Image.open('Marta/digest_entropy.png')
# load.show()
messagebox.showinfo("zaczynamy", "Zaczynamy!")
dish_1 = Dish("obiad", 40, 20, 15)
dish_2 = Dish("deser", 25, 10, 10)
dish_3 = Dish("obiad 2", 55, 25, 28)
plate_1 = Plate(dish_1, "Sara/data/validation/food/food004.png")
plate_2 = Plate(dish_2, "Sara/data/validation/food/food002.png")
plate_4 = Plate(dish_3, "Sara/data/validation/dirty/dirty009.png")
client_1 = Client(27, 1, 45, 1)
client_2 = Client(44, 0, 22, 4)
client_4 = Client(16, 0, 32, 8)
client_1.takePlateAndEat(plate_1)
client_2.takePlateAndEat(plate_2)
client_4.takePlateAndEat(plate_4)
bot.goByAStar((tables[1].pos[0] + 1, tables[1].pos[1]))
opinion = predictDigest(dish_1, client_1, loaded_model)
bot.goByAStar((tables[3].pos[0] + 1, tables[3].pos[1]))
opinion = predictDigest(dish_2, client_2, loaded_model)
bot.goByAStar((tables[5].pos[0] + 1, tables[5].pos[1]))
opinion = predictDigest(dish_3, client_4, loaded_model)
messagebox.showinfo("Informacja końcowa", "Zakończono trasę.")
pygame.quit()
exit()
else:
pass
def decide(client, image, dish):
img_width, img_height = 256, 256
client.pay(image)
test_image = load_img(image, target_size=(img_width, img_height))
test_image = img_to_array(test_image)
test_image = test_image.reshape((1,) + test_image.shape)
result = pln_model.predict(test_image)
print(result)
if result.tolist() == [[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]:
messagebox.showinfo("Rachunek", "Dziękuję, należy się reszta: " + str(10 - dish.price) + " zł.")
return 0
elif result.tolist() == [[0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0]]:
messagebox.showinfo("Rachunek", "Dziękuję, należy się reszta: " + str(100 - dish.price) + " zł.")
return 0
elif result.tolist() == [[0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0]]:
messagebox.showinfo("Rachunek", "Dziękuję, należy się reszta: " + str(20 - dish.price) + " zł.")
return 0
elif result.tolist() == [[0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0]]:
messagebox.showinfo("Rachunek", "Dziękuję, należy się reszta: " + str(200 - dish.price) + " zł.")
return 0
elif result.tolist() == [[0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]]:
messagebox.showinfo("Rachunek", "Dziękuję, należy się reszta: " + str(50 - dish.price) + " zł.")
return 0
elif result.tolist() == [[0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0]]:
messagebox.showinfo("Rachunek", "Dziękuję, należy się reszta: " + str(500 - dish.price) + " zł.")
return 0
else:
messagebox.showinfo("Uwaga", "Niestety, nie przyjmujemy zapłaty kartą.")
return 1
def payment(c):
if c == 1:
dish_1 = Dish("obiad", 40, 20, 150)
dish_2 = Dish("deser", 25, 10, 75)
dish_3 = Dish("obiad 2", 30, 25, 49)
dish_4 = Dish("obiad 2", 15, 25, 14)
plate_1 = Plate(dish_1)
plate_2 = Plate(dish_2)
plate_3 = Plate(dish_3)
plate_4 = Plate(dish_4)
client_1 = Client(21, 1, 1, 200)
client_2 = Client(44, 0, 4, 100)
client_3 = Client(27, 1, 5, 50)
client_4 = Client(19, 0, 8, 0) #karta
client_1.takePlateAndEat(plate_1)
client_2.takePlateAndEat(plate_2)
client_3.takePlateAndEat(plate_3)
client_4.takePlateAndEat(plate_4)
bot.goByAStar((tables[1].pos[0] + 1, tables[1].pos[1]))
messagebox.showinfo("Rachunek", "Proszę o zapłatę " + str(dish_1.price) + " zł.")
client1_payment = ('Kinga/data/examine/200/examine_056.png')
decide(client_1, client1_payment, dish_1)
bot.goByAStar((tables[4].pos[0] + 1, tables[4].pos[1]))
messagebox.showinfo("Rachunek", "Proszę o zapłatę " + str(dish_2.price) + " zł.")
client2_payment = ("Kinga/data/examine/100/examine_036.png")
decide(client_2, client2_payment, dish_2)
bot.goByAStar((tables[5].pos[0] + 1, tables[5].pos[1]))
messagebox.showinfo("Rachunek", "Proszę o zapłatę " + str(dish_3.price) + " zł.")
client3_payment = ("Kinga/data/examine/50/examine_029.png")
decide(client_3, client3_payment, dish_3)
bot.goByAStar((tables[8].pos[0] + 1, tables[8].pos[1]))
messagebox.showinfo("Rachunek", "Proszę o zapłatę " + str(dish_4.price) + " zł.")
client4_payment = ("Kinga/data/examine/cards/card_008.png")
decide(client_4, client4_payment, dish_4)
messagebox.showinfo("Informacja końcowa", "Zakończono trasę.")
pygame.quit()
exit()
else:
pass
def Tree_natalia(d):
if d == 1:
loaded_model = joblib.load('Natalia/final_model.sav')
messagebox.showinfo("Zaczynamy!", "Zaczynamy!")
prefer1 = Dish("prefer1", 40, 20, 15)
prefer2 = Dish("prefer2", 25, 10, 10)
prefer3 = Dish("prefer3", 55, 25, 28)
plate1 = Plate(prefer1, "Natalia/danie1.png")
plate2 = Plate(prefer2, "Natalia/danie2.png")
plate3 = Plate(prefer3, "Natalia/danie3.png")
client1 = Client(25, 1, 45, 1)
client2 = Client(41, 0, 22, 4)
client3 = Client(10, 0, 32, 8)
client1.takePlateAndEat(plate1)
client2.takePlateAndEat(plate2)
client3.takePlateAndEat(plate3)
bot.goByAStar((tables[1].pos[0] + 1, tables[1].pos[1]))
opinion = show_predict(prefer1, client1, loaded_model)
bot.goByAStar((tables[3].pos[0] + 1, tables[3].pos[1]))
opinion = show_predict(prefer2, client2, loaded_model)
bot.goByAStar((tables[5].pos[0] + 1, tables[5].pos[1]))
opinion = show_predict(prefer3, client3, loaded_model)
messagebox.showinfo("Informacja końcowa", "Zakończono trasę.")
pygame.quit()
exit()
else:
pass
def text_objects(text, font):
textSurface = font.render(text, True, black)
return textSurface, textSurface.get_rect()
def button(msg, x, y, w, h, ic, ac, action=None):
mouse = pygame.mouse.get_pos()
click = pygame.mouse.get_pressed()
if x+w > mouse[0] > x and y+h > mouse[1] > y:
pygame.draw.rect(window, ac, (x, y, w, h))
if click[0] == 1 and action != None:
print("pressed")
action(1)
else:
pygame.draw.rect(window, ic, (x, y, w, h))
smallText = pygame.font.Font("freesansbold.ttf", 15)
words = [msg.split(' ')]
textSurf, textRect = text_objects(words[0][0], smallText)
textRect.center = ((x+(w/2)), (y+(h/4)))
window.blit(textSurf, textRect)
textSurf, textRect = text_objects(words[0][1], smallText)
textRect.center = ((x + (w / 2)), (y + (3*h / 4)))
window.blit(textSurf, textRect)
def redrawWindow(surface):
surface.fill(beige)
bot.draw(surface)
kitchen.draw(surface)
for i in range(len(tables)):
tables[i].draw(surface)
for i in range(len(puddles)):
image = pygame.image.load(r'puddle.png')
image = pygame.transform.scale(image, (sizeBetween - 1, sizeBetween - 1))
surface.blit(image, (puddles[i][0] * sizeBetween + 1, puddles[i][1] * sizeBetween + 1))
drawGrid(width, rows, surface)
button("Rozpoznawanie talerzy", 0, width + 1, 150, 48, light_beige, white)
button("Ciężkostrawność dań", 150, width + 1, 150, 48, light_beige, white)
button("Rozpoznawanie banknotów", 300, width + 1, 150, 48, light_beige, white)
button("Polecanie dań", 450, width + 1, 150, 48, light_beige, white)
pygame.display.update()
def noWalkable(tables, kitchen):
list = []
for i in range(len(tables)):
list.append(tables[i].pos)
list.append(kitchen.pos)
return list
def makeImgClassificator(model):
img_width, img_height = 256, 256
if K.image_data_format() == 'channels_first':
input_shape = (3, img_width, img_height)
else:
input_shape = (img_width, img_height, 3)
model.add(Conv2D(32, (2, 2), input_shape=input_shape))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(32, (2, 2)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(64, (2, 2)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Flatten())
model.add(Dense(64))
model.add(Activation('relu'))
model.add(Dropout(0.5))
model.add(Dense(1))
model.add(Activation('sigmoid'))
model.compile(loss='binary_crossentropy',
optimizer='rmsprop',
metrics=['accuracy'])
def recognizeCash(model):
img_width, img_height = 256, 256
if K.image_data_format() == 'channels_first':
input_shape = (3, img_width, img_height)
else:
input_shape = (img_width, img_height, 3)
model.add(Conv2D(32, (2, 2), input_shape=input_shape))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(32, (2, 2)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(64, (2, 2)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Flatten())
model.add(Dense(64))
model.add(Activation('relu'))
model.add(Dropout(0.5))
model.add(Dense(7))
model.add(Activation('sigmoid'))
model.compile(loss='categorical_crossentropy',
optimizer='rmsprop',
metrics=['accuracy'])
def main():
global width, rows, bot, light_beige, beige, white, black, sizeBetween, tables, kitchen, cantwalk, puddles, window, clock, \
img_classify, pln_model
# skróty do kolorów
light_beige = (255, 240, 205)
beige = (255, 205, 178)
white = (255, 255, 255)
black = (0, 0, 0)
img_classify = Sequential()
makeImgClassificator(img_classify)
img_classify.load_weights('Sara/model_food_dirty.h5')
pln_model = Sequential()
recognizeCash(pln_model)
pln_model.load_weights('Kinga/model_payment.h5')
width = 600
rows = 15
sizeBetween = width // rows #wielkość pojedynczej kratki
window = pygame.display.set_mode((width, width + 50))
bot = Waiter((255, 0, 0), (12, 8), 2)
tables = []
tables.append(Table((0, 3), 1))
tables.append(Table((0, 6), 1))
tables.append(Table((0, 9), 2))
tables.append(Table((0, 12), 2))
tables.append(Table((4, 4), 2))
tables.append(Table((4, 7), 2))
tables.append(Table((4, 10), 2))
tables.append(Table((4, 13), 2))
tables.append(Table((8, 3), 1))
tables.append(Table((8, 6), 1))
tables.append(Table((8, 9), 2))
tables.append(Table((8, 12), 2))
kitchen = Kitchen((13, 1))
cantwalk = noWalkable(tables, kitchen) # lista pozycji, na ktore bot nie moze wejsc
puddles = []
puddles.append((7, 10))
puddles.append((2, 5))
puddles.append((3, 12))
puddles.append((10, 3))
puddles.append((6, 2))
puddles.append((12, 10))
puddles.append((1, 4))
flag = True
clock = pygame.time.Clock()
while flag:
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
quit()
button("Rozpoznawanie talerzy", 0, width + 1, 150, 48, light_beige, white, classify)
button("Ciężkostrawność dań", 150, width + 1, 150, 48, light_beige, white, evaluate)
button("Rozpoznawanie banknotów", 300, width + 1, 150, 48, light_beige, white, payment)
button("Polecanie dań", 450, width + 1, 150, 48, light_beige, white, Tree_natalia)
redrawWindow(window)
pygame.quit()
exit()
main()