sairate

scanf_face.py

@@ -27,6 +27,11 @@ while photo_count < max_photos:
 
     for face_location in face_locations:
         top, right, bottom, left = face_location
+
+        # 在图像上绘制绿框
+        cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2)
+
+        # 提取人脸区域
         face_image = frame[top:bottom, left:right]
 
         # 保存抓拍的照片
@@ -48,7 +53,6 @@ cv2.destroyAllWindows()
 
 print(f"Captured {photo_count} images.")
 
-
 def create_face_database(db_name="face_database.db"):
     conn = sqlite3.connect(db_name)
     c = conn.cursor()
@@ -59,7 +63,6 @@ def create_face_database(db_name="face_database.db"):
     conn.commit()
     conn.close()
 
-
 def add_face_to_database(name, image_path, db_name="face_database.db"):
     conn = sqlite3.connect(db_name)
     c = conn.cursor()
@@ -77,7 +80,6 @@ def add_face_to_database(name, image_path, db_name="face_database.db"):
         conn.commit()
     conn.close()
 
-
 def match_faces(captured_images, db_name="face_database.db", tolerance=0.4):
     conn = sqlite3.connect(db_name)
     c = conn.cursor()
@@ -105,7 +107,7 @@ def match_faces(captured_images, db_name="face_database.db", tolerance=0.4):
                 print(f"发现匹配: {name} 在 {image_path}")
                 conn.close()
                 return True  # 一旦找到匹配，返回成功
-
+    print(f"没发现匹配: 在 {image_path}")
     conn.close()
     return False  # 如果所有比较都没有匹配，返回失败
 
@@ -120,4 +122,3 @@ if match_faces(captured_images):
     print("至少一张匹配")
 else:
     print("没有匹配")
-