def is_on_enemy(pixels): r = pixels[:,:,2] > 200 g = pixels[:,:,1] < 60 b = pixels[:,:,0] < 60 return np.any(r & g & b)
def capture_region(): with mss.mss() as sct: mon = sct.monitors[1] cx, cy = mon["width"]//2, mon["height"]//2 region = "left": cx-3, "top": cy-3, "width": 6, "height": 6 return np.array(sct.grab(region)) valorant python triggerbot
def is_enemy_present(pixel_array): # pixel_array shape: (height, width, BGR) red_channel = pixel_array[:, :, 2] green_channel = pixel_array[:, :, 1] blue_channel = pixel_array[:, :, 0] red_mask = (red_channel > 200) green_mask = (green_channel < 60) blue_mask = (blue_channel < 60) def is_on_enemy(pixels): r = pixels[:,:,2] > 200 g
Valorant’s high-stakes duels demand pixel-perfect aim and lightning reflexes. But what if you could automate the shot timing? Enter the triggerbot – a program that fires the moment your crosshair aligns with an enemy. Unlike an aimbot, it doesn’t move your mouse; it just pulls the trigger for you. Unlike an aimbot, it doesn’t move your mouse;
img = sct.grab(region) return np.array(img) Valorant uses a red outline for enemies (RGB ~ 220-255, 0-50, 0-50). We define a simple mask.
If you want to improve your actual aim, try or Deathmatch mode instead. Your rank – and conscience – will thank you. This article is for educational purposes only. Using automation in Valorant violates Riot Games’ Terms of Service.