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import pyautogui
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import time
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from tkinter import *
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import cv2
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import sendinput
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from calculate_model import Capture_Point
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from region_detection import Region_Detector
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def show_capture(win_name,roi_image):
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cv2.namedWindow(win_name, cv2.WINDOW_NORMAL)
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cv2.resizeWindow(win_name, 640, 360)
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cv2.imshow(win_name, roi_image)
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cv2.moveWindow(win_name, 0,0)
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cv2.getWindowImageRect(win_name)
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def main():
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user_interface = Tk() # 界面开头
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user_interface.title("辅助瞄准")
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user_interface.geometry("480x640")
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user_interface.resizable(0, 0)
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Label(user_interface, text='以下是你打开的窗口，请选择要使用的窗口', font=(None, 15), fg='#66CCFF', bg="black").pack()
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ht=Region_Detector.getButtonInfo()
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for wnd in ht.items():
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if wnd[1]!= "":
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Button(user_interface, text=wnd[1], width=50, height=1, command=lambda wnd=wnd:runhelper(wnd[1]), activeforeground="red", activebackground="black").pack()
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mainloop() # 界面结尾
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def runhelper(wn):
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win_name = wn
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print("现在捕获的窗口是：" ,end="")
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print(win_name)
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win_size = [1920, 1080] #窗口大小
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win_index = [0,0] #窗口放置位置
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win_more = 0 #窗口多余部分，即窗口标题
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RD = Region_Detector(win_name, win_more) #创建窗口处理对象
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hwdn = RD.getWindowHandle() #获取窗口句柄
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RD.setWindows(hwdn, win_size, win_index) #设置窗口参数
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while True:
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MouseX, MouseY = pyautogui.position()
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start_time = time.time() #开始时间
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img, Screen = RD.getWindowsRGB(hwdn) #获取窗口截图
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img_roi, Screen_c,[x0,y0,x1,y1] = RD.getRegion(img, Screen) #获取窗口截图ROI图片
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roi_image,my_result = Capture_Point(img_roi, confidence=0.9) #ROI图像进行推理，返回图像与ROI图像中位置坐标
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print("捕获结果：", my_result)
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fps = int(1/(time.time() - start_time)) # 计算推理帧率
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print("处理帧数:{}".format(fps))
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show_capture(win_name, roi_image) # OpenCV窗口显示结果图像
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if cv2.waitKey(1) & 0xFF == ord("q"):#退出快捷键
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break
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if my_result == {}:
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continue
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x= int(my_result["1"][0])
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y = int(my_result["1"][1])
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currentMouseX = (640+x-MouseX)*1.1
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currentMouseY = (360+y-MouseY)*1.1
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sendinput.Mouse.move(int(currentMouseX),int(currentMouseY))
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time.sleep(0.001)
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sendinput.Mouse.leftClick()
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sendinput.Mouse.leftClick()
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sendinput.Mouse.leftClick()
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sendinput.Mouse.leftClick()
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cv2.destroyAllWindows()
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