main.py

import keyword
from keras.models import model_from_json
import numpy as np
from PIL import Image
import keyboard
import time
from mss import mss
import cv2
import uuid
import tkinter as tk
from data_classes import Window
from threading import Timer

mon = {
    "top": 214,
    "left": 775,
    "width": 517,
    "height": 566
}
sct=mss()

width=125
height=50

model=model_from_json(open("model.json","r").read())
model.load_weights("model.h5")




while True:
    a=1

    if keyboard.is_pressed("1"):

        for a in range(a):

            img = sct.grab(mon)
            im = Image.frombytes("RGB", img.size, img.rgb)
            im2 = np.array(im.convert("L").resize((width, height)))
            im2 = im2 / 255

            X = np.array([im2])
            X = X.reshape(X.shape[0], width, height, 1)
            r = model.predict(X)

            result = np.argmax(r)

            element=Window()


            if result ==0:
                element.show_2()

                print( "dark tree")

            elif result == 1:

                element.show_4()

                print("acacica tree")


            elif result ==2:
                element.show_5()


                print("jungle tree")

            elif result ==3:
                element.show_3()
                print("birch tree")

            elif result ==4:
                element.show_1()
                print("villager")

            elif result ==5:
                element.show_()
                print(" creeper")

            elif result ==6:
                element.show_6()
                print(" lava")


            elif result ==7:
                element.show_7()
                print(" water")

            elif result ==8:
                element.show_8()
                print(" village house")