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game_test.py
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game_test.py
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import numpy as np
from grabscreen import grab_screen
import cv2
import time
from directkeys import PressKey,ReleaseKey, W, A, S, D
from keras.models import load_model
import random
rnn = True
width = 160
length = 120
last_choice = 1
colour = False
w = [1,0,0,0,0,0,0,0,0]
s = [0,1,0,0,0,0,0,0,0]
a = [0,0,1,0,0,0,0,0,0]
d = [0,0,0,1,0,0,0,0,0]
wa = [0,0,0,0,1,0,0,0,0]
wd = [0,0,0,0,0,1,0,0,0]
sa = [0,0,0,0,0,0,1,0,0]
sd = [0,0,0,0,0,0,0,1,0]
nk = [0,0,0,0,0,0,0,0,1]
def straight():
PressKey(W)
ReleaseKey(A)
ReleaseKey(D)
ReleaseKey(S)
#time.sleep(0.05)
def left():
'''if random.randrange(0,3) == 1:
PressKey(W)
else:
ReleaseKey(W)'''
PressKey(A)
ReleaseKey(S)
ReleaseKey(D)
ReleaseKey(S)
#time.sleep(0.02)
def right():
'''if random.randrange(0,3) == 1:
PressKey(W)
else:
ReleaseKey(W)'''
PressKey(D)
ReleaseKey(A)
ReleaseKey(S)
time.sleep(0.02)
def reverse():
PressKey(S)
ReleaseKey(A)
ReleaseKey(W)
ReleaseKey(D)
def forward_left():
PressKey(W)
PressKey(A)
ReleaseKey(D)
ReleaseKey(S)
#time.sleep(0.01)
def forward_right():
PressKey(W)
PressKey(D)
ReleaseKey(A)
ReleaseKey(S)
#time.sleep(0.01)
def reverse_left():
PressKey(S)
PressKey(A)
ReleaseKey(W)
ReleaseKey(D)
def reverse_right():
PressKey(S)
PressKey(D)
ReleaseKey(W)
ReleaseKey(A)
def no_keys():
''''if random.randrange(0,3) == 1:
PressKey(W)
else:
ReleaseKey(W)'''
ReleaseKey(A)
ReleaseKey(S)
ReleaseKey(D)
def releaseall():
ReleaseKey(W)
ReleaseKey(S)
ReleaseKey(A)
ReleaseKey(D)
cnnmodel = load_model('saved_models/weights_best_new.h5')
print("Loaded cnn model")
#rnnmodel=load_model('saved_models/rnn_weights_best.h5')
#print("Loaded rnn model")
'''for i in list(range(4))[::-1]:
print(i+1)
time.sleep(1)
'''
while(True):
last_time = time.time()
screen = grab_screen(region = (0,23, 800, 623))
screen = screen[:,:,:3]
#cv2.imwrite('image.jpg', screen)
#screen = cv2.cvtColor(screen, cv2.COLOR_BGR2GRAY)
screen = cv2.resize(screen,(width,length),3)
inputs = screen.flatten()
inputs = screen.reshape(1,length,width,3)
inputs = inputs.astype('float32')
rough_out = cnnmodel.predict(inputs)[0]
prediction = np.round(rough_out)
mode_choice = np.argmax(prediction)
#releaseall()
if mode_choice == 0:
straight()
choice_picked = 'straight'
if mode_choice == 1:
reverse()
choice_picked = 'reverse'
elif mode_choice == 2:
left()
choice_picked = 'left'
elif mode_choice == 3:
right()
choice_picked = 'right'
elif mode_choice == 4:
forward_left()
choice_picked = 'forward+left'
elif mode_choice == 5:
forward_right()
choice_picked = 'forward+right'
elif mode_choice == 6:
reverse_left()
choice_picked = 'reverse+left'
elif mode_choice == 7:
reverse_right()
choice_picked = 'reverse+right'
elif mode_choice == 8:
no_keys()
choice_picked = 'nokeys'
print(choice_picked)
#time.sleep(0.3)
#releaseall()
#ReleaseKey(W)
#ReleaseKey(A)
#ReleaseKey(S)
#ReleaseKey(D)
'''if(last_choice == choice_picked):
print('\n')
else:
print(choice_picked)
last_choice = choice_picked'''
#print(last_time-time.time())