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99 lines
3.1 KiB
Python
99 lines
3.1 KiB
Python
2 months ago
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import logging
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import os
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import time
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from threading import Thread
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import numpy as np
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import cv2
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from airtest.core.cv import Template
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import pyautogui
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from pynput import mouse
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from mouse.logitech import Logitech
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from screen_shot import screen_shot_mss, show, save_image
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logger = logging.getLogger("airtest")
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logger.setLevel(logging.NOTSET)
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ENEMY_X = 5
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ENEMY_Y = 15
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CHAMPION_H = 190
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CHAMPION_W = 130
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GLOBAL_POS_LIS = []
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def is_some_color(s_array):
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# 查找是否有30个像素是暗红色
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# 检查颜色条件
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condition = ((s_array[:, :, 2] > 50) & (s_array[:, :, 2] < 70) &
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(s_array[:, :, 1] > 0) & (s_array[:, :, 1] < 20) &
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(s_array[:, :, 0] > 0) & (s_array[:, :, 0] < 20))
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# 计算满足条件的像素数量
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num_matching_pixels = np.sum(condition)
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# 判断是否有30个像素满足条件
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return num_matching_pixels >= 30
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left_button_pressed = False
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def mouse_handle():
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while True:
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time.sleep(0.2)
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if left_button_pressed:
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now_x, now_y = pyautogui.position()
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if GLOBAL_POS_LIS:
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x, y = GLOBAL_POS_LIS[0]
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move_x = x - now_x
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move_y = y - now_y
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print(move_x, move_y)
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Logitech.mouse.move(move_x, move_y)
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def listen():
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def on_click(x, y, button, pressed):
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global left_button_pressed
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if button == mouse.Button.left:
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left_button_pressed = pressed
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listener = mouse.Listener(on_click=on_click)
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listener.start()
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if __name__ == '__main__':
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Thread(target=mouse_handle).start()
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Thread(target=listen).start()
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base_t = Template("./base.png")
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lower_gray = np.array([70, 70, 70])
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upper_gray = np.array([120, 120, 120])
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while True:
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tmp_pos_lis = []
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now_screen = screen_shot_mss(2200, 900, 180, 90)
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mask = cv2.inRange(now_screen, lower_gray, upper_gray)
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contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
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for contour in contours:
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x, y, w, h = cv2.boundingRect(contour)
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if w > 20 and h < 5:
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s = now_screen[y - 30:y + 30, x - 30:x + 30]
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if s.any():
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cv2.rectangle(now_screen, (x - 30, y - 30), (x + 30, y + 30), (0, 255, 0), thickness=2)
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pos = base_t.match_in(s)
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if pos:
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if is_some_color(s):
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# cv2.rectangle(now_screen, (x, y), (x + 80, y + 150), (0, 255, 0), thickness=2)
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# cv2.rectangle(now_screen, (x-30, y-30), (x+50, y+50), (0, 255, 0), thickness=2)
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pos_x, pos_y = pos
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# 计算pos在屏幕的 坐标
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s_x = 180 + x - 30 + pos_x
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s_y = 90 + y - 30 + pos_y
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# 加上一些坐标得到人物的主体大概部位
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p_x = s_x + 55
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p_y = s_y + 115
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tmp_pos_lis.append([p_x, p_y])
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# show(now_screen)
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GLOBAL_POS_LIS = tmp_pos_lis
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