def main():
while True:
original_img = grab_screen()
# 1. convert to gray
image = grayscale(crop(original_img))
# 2. apply gaussian filter
image = gaussian_blur(image, 7)
# 3. canny
image = canny(image, 50, 100)
# 4. ROI
image = region_of_interest(
image,
np.array([[(0, 190), (0, 70), (187, 0), (613, 0), (800, 70),
(800, 190)]], np.int32))
# 5. Hough lines
lines = hough_lines(image)
# 6. construct lane
lane, stop_line = construct_lane(lines)
# 7. Place lane detection output on the original image
original_img[280:-130, :, :] = draw_lane(original_img[280:-130, :, :],
lane, stop_line, [0, 255, 0],
[0, 255, 0])
cv2.imshow("Frame", original_img)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
cv2.destroyAllWindows()
break
def main():
while True:
screen = grab_screen()
screen = yolo_detection(screen, 0)
cv2.imshow("Frame", screen)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
cv2.destroyAllWindows()
break
def main():
while True:
screen = grab_screen()
screen, color_detected, obj_distance = yolo_detection(screen, 0)
if color_detected:
print("Color detected: " + color_detected)
if obj_distance != 1:
print("Distance to obstacle: {}".format(obj_distance))
cv2.imshow("Frame", screen)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
cv2.destroyAllWindows()
break
def main():
numbers = []
record = False
i = 0
empty = 0
while True:
time.sleep(0.2)
keys = key_check()
if 'T' in keys:
record = not record
elif 'Z' in keys:
np.save('digits.npy', numbers)
image = grab_screen("Grand Theft Auto V")
# speed
screen, resized, speed, direct = img_process("Grand Theft Auto V")
vis = image[567:576, 18:28, :]
print(direct, speed)
vis = cv2.cvtColor(vis, cv2.COLOR_RGB2GRAY)
# ret, vis = cv2.threshold(vis, 140, 255, cv2.THRESH_BINARY_INV)
# ret, vis = cv2.threshold(vis, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
vis = cv2.adaptiveThreshold(vis, 255, cv2.ADAPTIVE_THRESH_MEAN_C,
cv2.THRESH_BINARY, 7, -5)
if record:
i += 1
print(i)
numbers.append(vis[:, :5]) # num1
numbers.append(vis[:, 7:12]) # num2
if empty % 5 == 0:
numbers.append(vis[:, -5:]) # num3
empty += 1
vis = cv2.resize(vis, None, fx=10, fy=10)
cv2.imshow("Frame", vis)
key = cv2.waitKey(1) & 0xFF
# cv2.waitKey()
# if the `q` key was pressed, break from the loop
if key == ord("q"):
break