Feat(baotu):add baotu function

image.py

@@ -2,10 +2,9 @@
 import cv2
 class OpenCVImageMatcher(object):   
     # 全图进行配对
-    def match_sub_image(self, img_rgb ,imgfile):
+    def match_sub_image(self, cv_img ,imgfile):
         #加载原始RGB图像
-        cv_img = np.array(img_rgb)
-        img = cv2.cvtColor(cv_img, cv2.cv.CV_BGR2RGB)
+        img = cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB)
         #创建一个原始图像的灰度版本，所有操作在灰度版本中处理，然后在RGB图像中使用相同坐标还原
         img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
@@ -21,10 +20,15 @@ def match_sub_image(self, img_rgb ,imgfile):
         #res大于70% 
         loc = np.where( res >= threshold)
         locs = zip(*loc[::-1])# 列表
-        if locs:
-            return (locs[0],locs[1],locs[0]+w,locs[1]+h)
-        else:
-            return None
+
+        for pt in locs:
+            if pt:
+                return getpoint(( pt[0], pt[1], pt[0]+w, pt[1]+h))
+                break
+        return None
+
+def getpoint(rect):
+    return (rect[0]+(rect[2]-rect[0])/2,rect[1]+(rect[3]-rect[1])/2)
 
 """
 图像识别的两套方案

main.py

@@ -9,15 +9,15 @@
 import wx.adv
 from PIL import ImageGrab
 from image import OpenCVImageMatcher
-
+import numpy as np
 ver  = '1.0'
 defPwd='******'
 startx=0
 posx=0
 starty=0
 posy=0
 isZhuaGui = True
-
+matcher=1
 
 #校验密码
 def CheckPwd():
@@ -49,10 +49,24 @@ def BaoTuTh(param):
     if frame.autoDaTu.LabelText =='自动宝图':
         frame.autoDaTu.LabelText='停止自动宝图'
         # 检查口令
-        if(CheckPwd() != True):
-            return False
+        # if(CheckPwd() != True):
+        #     return False
+        t = threading.Thread(target=baotu)
+        t.setDaemon(True)
+        t.start()
     else:
         frame.autoDaTu.LabelText='自动宝图'
+
+def baotu():
+    rect=matcher.match_sub_image(window_capture((startx,starty,startx+posx,starty+posy)),'./image/activity_label.png')
+    if rect:
+        print(rect)
+        autopy.mouse.smooth_move(rect)
+        time.sleep(1)
+        autopy.mouse.click()
+
+
+
 
 #抓鬼线程
 def zhuaGuiTh(param):
@@ -122,8 +136,10 @@ def closeMhxy():
         win32api.PostMessage(mhwin, win32con.WM_QUIT, 0, 0)
 
 def window_capture(rect):
-    img = ImageGrab.grab(bbox=rect)
-    return img
+    img_rgb = ImageGrab.grab(bbox=rect)
+    cv_img=np.array(img_rgb)
+    return cv_img
+
 
 if __name__ == '__main__':
     # 已经在运行的关闭窗体