Writing TRIGGER BOT for VALORANT on the knee

И теперь продаем мамонтам на Funpay

 

Это хорошо, после запуска он окажется нерабочим.

 

я ультрамегануб, че надо написать то для триггера, ваще в программировании не шарю

 

ничего не понимаю где что устнавливать автор помоги дай дс и помоги пожалуста

 

Ладно чат джбт тебе помог, но код ты так и не понял как вставлять, смешно что ты это вообще выложил, такая залупа,

import cv2
import numpy as np
import pyautogui
import time
import keyboard

FOV_WIDTH = 640
FOV_HEIGHT = 480
NUM_SHOTS = 1

trigger_enabled = False

def capture_screen(region=None):
screenshot = pyautogui.screenshot(region=region)
screenshot = np.array(screenshot)
screenshot = cv2.cvtColor(screenshot, cv2.COLOR_BGR2RGB)
return screenshot

def detect_purple_contour(image):
hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
lower_purple = np.array([125, 50, 50])
upper_purple = np.array([170, 255, 255])
mask = cv2.inRange(hsv, lower_purple, upper_purple)
mask = cv2.GaussianBlur(mask, (5, 5), 0)
contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
return contours

def toggle_trigger():
global trigger_enabled
trigger_enabled = not trigger_enabled
status = "enabled" if trigger_enabled else "disabled"
print(f"Trigger {status}")

def main():
screen_width, screen_height = pyautogui.size()
fov_x = (screen_width - FOV_WIDTH) // 2
fov_y = (screen_height - FOV_HEIGHT) // 2

keyboard.add_hotkey('F1', toggle_trigger)

while True:
if trigger_enabled:
frame = capture_screen(region=(fov_x, fov_y, FOV_WIDTH, FOV_HEIGHT))
contours = detect_purple_contour(frame)

if contours:
for _ in range(NUM_SHOTS):
pyautogui.click()
time.sleep(0.05)

cv2.rectangle(frame, (0, 0), (FOV_WIDTH, FOV_HEIGHT), (0, 255, 0), 2)
cv2.imshow("FOV", frame)

if cv2.waitKey(1) & 0xFF == ord('q'):
break

time.sleep(0.01)

cv2.destroyAllWindows()

if __name__ == "__main__":
main()

Python

import cv2

import numpy as np

import pyautogui

import time

import keyboard



FOV_WIDTH = 640

FOV_HEIGHT = 480

NUM_SHOTS = 1



trigger_enabled = False



def capture_screen(region=None):

    screenshot = pyautogui.screenshot(region=region)

    screenshot = np.array(screenshot)

    screenshot = cv2.cvtColor(screenshot, cv2.COLOR_BGR2RGB)

    return screenshot



def detect_purple_contour(image):

    hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)

    lower_purple = np.array([125, 50, 50])

    upper_purple = np.array([170, 255, 255])

    mask = cv2.inRange(hsv, lower_purple, upper_purple)

    mask = cv2.GaussianBlur(mask, (5, 5), 0)

    contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

    return contours



def toggle_trigger():

    global trigger_enabled

    trigger_enabled = not trigger_enabled

    status = "enabled" if trigger_enabled else "disabled"

    print(f"Trigger {status}")



def main():

    screen_width, screen_height = pyautogui.size()

    fov_x = (screen_width - FOV_WIDTH) // 2

    fov_y = (screen_height - FOV_HEIGHT) // 2



    keyboard.add_hotkey('F1', toggle_trigger)



    while True:

        if trigger_enabled:

            frame = capture_screen(region=(fov_x, fov_y, FOV_WIDTH, FOV_HEIGHT))

            contours = detect_purple_contour(frame)



            if contours:

                for _ in range(NUM_SHOTS):

                    pyautogui.click()

                    time.sleep(0.05)



            cv2.rectangle(frame, (0, 0), (FOV_WIDTH, FOV_HEIGHT), (0, 255, 0), 2)

            cv2.imshow("FOV", frame)



            if cv2.waitKey(1) & 0xFF == ord('q'):

                break



        time.sleep(0.01)



    cv2.destroyAllWindows()



if __name__ == "__main__":

    main()