convert domainCheck to regular directory

domainCheck/detect/module/gap.py

@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+import base64,re
+import time, os,datetime, sched
+import cv2
+from io import BytesIO
+from PIL import Image, ImageDraw, ImageFont
+import requests,re
+import numpy as np
+
+
+class quekou():
+    def __init__(self):
+        self.t = int(time.time() * 1000)
+        pass
+    def save_png(self,path,con):
+        with open(path, "wb") as fp:
+            fp.write(con)
+
+    def get_distance2(self,bg,tp):
+
+        bg = base64.b64decode(bg)  # base64转二进制
+
+        tp = base64.b64decode(tp)  # base64转二进制
+
+        res = self.det.slide_match(tp, bg, simple_target=True)
+        res=res['target'][0]
+
+        return res
+
+    def get_distance(self, bg, tp):
+
+        bg = base64.b64decode(bg)  # base64转二进制
+
+        tp = base64.b64decode(tp)  # base64转二进制
+        ''' bg: 背景图片 tp: 缺口图片 out:输出图片 '''
+        # 读取背景图片和缺口图片
+        bg_img = Image.open(BytesIO(bg))  # 背景图片
+        tp_img = Image.open(BytesIO(tp))  # 缺口图片
+        bg_edge = cv2.Canny(np.array(bg_img), 100, 200)
+        tp_edge = cv2.Canny(np.array(tp_img), 100, 200)
+        # 转换图片格式
+        bg_pic = cv2.cvtColor(bg_edge, cv2.COLOR_GRAY2RGB)
+        tp_pic = cv2.cvtColor(tp_edge, cv2.COLOR_GRAY2RGB)
+        # 缺口匹配
+        res = cv2.matchTemplate(bg_pic, tp_pic, cv2.TM_CCOEFF_NORMED)
+        min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)  # 寻找最优匹配
+        # 绘制方框
+        tl = max_loc  # 左上角点的坐标
+        return tl[0]
+
+
+
+