m

src/WeChatOcrCpp/ppv5.py

@@ -15,12 +15,13 @@ conda create -n ppv5 python==3.10 pip \
 
 """
 
-is_debug = False
+is_debug = True
 
 dic_cache = {}
 
 from flask import Flask, request, jsonify
 import threading
+import platform
 
 app = Flask(__name__)
 
@@ -88,6 +89,7 @@ ocr = PaddleOCR(
     use_textline_orientation=False)
 
 def ppresult_tojson(img, result):
+    global is_debug
 
     jn = OrderedDict()
     prism_wordsInfo = []
@@ -122,8 +124,10 @@ def ppresult_tojson(img, result):
             j['charInfo'] = charInfo
 
             img = cv2.rectangle(img, (lu['x'], lu['y']), (rd['x'], rd['y']), (255, 0, 0), 2)
-            # cv2.imshow('orig', img)
-            # cv2.waitKey(0)
+            if platform.system() == "Windows":
+                if is_debug:
+                    cv2.imshow('orig', img)
+                    cv2.waitKey(0)
             for idx_word, (word, box) in enumerate(zip(words, boxs)):
 
                 if (len(word) == 1):
@@ -146,8 +150,10 @@ def ppresult_tojson(img, result):
 
                 # print(word)
                 img = cv2.rectangle(img, (box[0], box[1]), (box[2], box[3]), (0, 255, 0), 2)  # 矩形的左上角, 矩形的右下角
-                # cv2.imshow('orgin', img)
-                # cv2.waitKey(0)
+                if platform.system() == "Windows":
+                    if is_debug:
+                        cv2.imshow('orgin', img)
+                        cv2.waitKey(0)
 
         # save_json('out.json', jn)
         break  # 只处理第一张图的结果