def control(ball, paddle):
if ball in range(paddle[0], paddle[1]):
pyKey.releaseKey("UP")
pyKey.releaseKey("DOWN")
elif ball > paddle[1]:
pyKey.releaseKey("UP")
pyKey.pressKey("DOWN")
elif ball < paddle[0]:
pyKey.releaseKey("DOWN")
pyKey.pressKey("UP")
def walk_loop():
while True:
pressKey('D')
sleep(10)
releaseKey('D')
sleep(0.5)
pressKey('A')
sleep(10)
releaseKey('A')
sleep(0.5)
def leer_mensaje_nuevo(client, userdata, msg):
mensaje = msg.payload.decode('UTF-8')
# print(msg.topic + " " + str(msg.payload))
print(msg.topic + " " + mensaje)
comando = CMD.get(mensaje, 'nanai de la china')
print('tecla -> {}'.format(comando))
# Pulsacion de teclado
#press(comando, 1)
pressKey(comando)
sleep(0.125)
releaseKey(comando)
def main():
graph, sess = load_graph(pre_trained_model_path)
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
mp = _mp.get_context("spawn")
v = mp.Value('i', 0)
lock = mp.Lock()
while True:
key = cv2.waitKey(10)
if key == ord("q"):
break
_, frame = cap.read()
frame = cv2.flip(frame, 1)
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
boxes, scores, classes = detect_hands(frame, graph, sess)
frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
results = predict(boxes, scores, classes, threshold, width, height)
if len(results) == 1:
x_min, x_max, y_min, y_max, category = results[0]
x = int((x_min + x_max) / 2)
y = int((y_min + y_max) / 2)
cv2.circle(frame, (x, y), 5, RED, -1)
if category == "Closed":
action = 0 # Do nothing
text = "Run"
elif category == "Open" and y < height / 2:
action = 1 # Jump
pressKey('UP')
text = "Jump"
elif category == "Open" and y > height / 2:
action = 2
pressKey('DOWN')
text = "Duck"
with lock:
v.value = action
cv2.putText(frame, "{}".format(text), (x_min, y_min - 5),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, GREEN, 2)
overlay = frame.copy()
cv2.rectangle(overlay, (0, 0), (width, int(height / 2)), ORANGE, -1)
cv2.addWeighted(overlay, alpha, frame, 1 - alpha, 0, frame)
cv2.imshow('Detection', frame)
cap.release()
cv2.destroyAllWindows()
def start_capturing(white_pixels, wait_interval, wait_frames, opencv_wait_ms):
frame_counter = 0
with mss.mss() as sct:
monitor = {"top": 0, "left": 0, "width": 200, "height": 50}
while True:
img = numpy.array(sct.grab(monitor))
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# print(img[40][184], img[40][177], img[40][172], img[45][177], img[45][172], img[45][165])
# print(img[40])
for pixel in white_pixels:
x, y = pixel[0], pixel[1]
if(img[x][y] < 250):
frame_counter = 0
break
else:
frame_counter += 1
if(frame_counter > wait_frames):
print("trigger")
time.sleep(wait_interval)
print("keypress")
pressKey(key="s")
releaseKey(key="s")
sys.exit()
# print pixels
for pixel in white_pixels:
x, y = pixel[0], pixel[1]
print(img[x][y], end="-")
print("")
# Display the picture
if(opencv_wait_ms):
cv2.imshow("OpenCV/Numpy normal", img)
# Press "q" to quit
cv2.waitKey(opencv_wait_ms)
from pyKey import pressKey, releaseKey, press, sendSequence, showKeys
from time import *
sleep(4)
#if True:
while True:
pressKey("UP")
sleep(1)
pressKey("DEL")
sleep(3)
releaseKey("DEL")
sleep(2)
pressKey("RIGHT")
sleep(0.4)
releaseKey("RIGHT")
sleep(1)
pressKey("LEFT")
sleep(0.1)
releaseKey("LEFT")
sleep(1)
pressKey("LEFT")
sleep(0.9)
releaseKey("LEFT")
sleep(1.5)
pressKey("RIGHT")
sleep(0.5)
releaseKey("RIGHT")
sleep(3)
sleep(1.1)
pressKey("LEFT")
sleep(2)
def main():
graph, sess = load_graph(pre_trained_model_path)
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
mp = _mp.get_context("spawn")
v = mp.Value('i', 0)
lock = mp.Lock()
while True:
key = cv2.waitKey(10)
if key == ord("q"):
break
_, frame = cap.read()
frame = cv2.flip(frame, 1)
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
boxes, scores, classes = detect_hands(frame, graph, sess)
frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
results = predict(boxes, scores, classes, threshold, width, height)
if len(results) == 1:
x_min, x_max, y_min, y_max, category = results[0]
x = int((x_min + x_max) / 2)
y = int((y_min + y_max) / 2)
cv2.circle(frame, (x, y), 5, RED, -1)
if category == "Open" and x <= width / 3:
action = 7 # Left move
text = "Left move"
releaseKey("LEFT")
press('LEFT', 0.15)
pressKey("UP")
elif category == "Open" and width / 3 < x <= 2 * width / 3:
action = 5 # Straight
releaseKey('LEFT')
releaseKey("RIGHT")
pressKey("UP")
text = "Straight"
elif category == "Open" and x > 2 * width / 3:
action = 2 # Right move
text = "Right move"
releaseKey("RIGHT")
press("RIGHT", 0.15)
pressKey('UP')
else:
action = 0
text = "Go"
with lock:
v.value = action
cv2.putText(frame, "{}".format(text), (x_min, y_min - 5),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, GREEN, 2)
overlay = frame.copy()
cv2.rectangle(overlay, (0, 0), (int(width / 3), height), ORANGE, -1)
cv2.rectangle(overlay, (int(2 * width / 3), 0), (width, height), ORANGE, -1)
cv2.addWeighted(overlay, alpha, frame, 1 - alpha, 0, frame)
cv2.imshow('Detection', frame)
cap.release()
cv2.destroyAllWindows()