def run():
while True:
screen = grab_screen(region=(0, 0, 1920, 1080))
crop = screen[85:950, 0:970] # select region of interest
center = int(crop.shape[0] / 2), int(crop.shape[1] / 2) # x,y,r
copy = crop.copy()
gray = cv2.cvtColor(copy, cv2.COLOR_RGB2GRAY)
# use HoughCircles to detect circles within image
circle_coords, img = circles(gray)
# calculate distance to smallest detected circles
closest_coord, all_circles = find_smallest_r(circle_coords, center)
print(f'Moving to -> {closest_coord}')
# go to eat closest blob thats smaller than me
move(closest_coord[0], closest_coord[1])
# ToDo: implement functionality to go as long as own radius increases
# g = [i for i in all_circles if (i[0] > center[0]-5) & (qi[0] < center[0]+5) & (i[1] > center[1]-5) & (i[1] < center[1]+5)]
# if len(g) > 0:
# new_radius = g[0][2]
time.sleep(1)
def run_while():
while keyboard.is_pressed('q') == False:
last = time.time()
screen = grab_screen(region=(0, 0, 1920, 1080))
crop_img = screen[320:820, 150:810]
threshold_slow(crop_img)
def make_grid_image(grab_area):
img = np.zeros(get_hw(grab_area))
for i in tqdm(range(50)):
refresh(grab_area)
time.sleep(0.5)
ss = grab_screen(grab_area)
gray = cv2.cvtColor(ss, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray, 150, 255, 0)
img += 255 - thresh
img = np.clip(img, 0, 255)
cv2.imwrite('grid.png', 255 - img)
def main():
mkdir_if_not_exists(IMAGE_DIR)
empty_dir(IMAGE_DIR)
grab_area = read_grab_area()
crop_areas = find_crop_areas()
for _ in tqdm(range(2 ** 11)):
ss = grab_screen(grab_area)
draw_crop_areas(ss, crop_areas)
for img in crop_images(ss, crop_areas):
save_path = os.path.join(IMAGE_DIR, generate_uuid() + '.png')
cv2.imwrite(save_path, img)
refresh(grab_area)
time.sleep(1)
def look_at_image():
screen = grab_screen(region=(0, 0, 1920, 1080))
crop_img = screen[320:820, 150:810]
plt.imshow(crop_img)
plt.show()
# start
"""
vec = 315 # po gradusam iz 360, gde 0 - verh, 90 - pravo, 180 - niz, 270 - levo
game = self_window()
for i in list(range(4))[::-1]:
print(i + 1)
time.sleep(1)
other_route_vector = None
enemy_spotted = False
paused = False
while True:
if not paused:
img = (grab_screen(region=(game.differenceX, game.differenceY,
800 + game.differenceX - 1,
600 + game.differenceY - 1)))
if enemy_spotted is True:
enemy_spotted = check_if_enemy_on_hover(img[22, 330])
if enemy_spotted is True:
continue
# cursor_pos = game.cursor_pos()
# file_name = 'img_cursorPos.npy'
# examples = [img, cursor_pos,game]
# np.save(file_name,examples)
#read minimap
minimap = img[4:154, 646:796] # visota sverhu, shirina sleva
minimap = minimap[
40:110,
40:110] # 70x70 # - vidimost' zoni na kotoryuy mojno clicknut'