From 016e6207d438549ebe47eebcad6042a85f4d7730 Mon Sep 17 00:00:00 2001
From: Jimin Jung <97026673+jimin509@users.noreply.github.com>
Date: Sun, 11 Dec 2022 19:09:40 +0900
Subject: [PATCH 1/2] =?UTF-8?q?Create=20=EC=B0=B8=EA=B3=A0=EC=9E=90?=
 =?UTF-8?q?=EB=A3=8C(webcam).py?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 ...63\240\354\236\220\353\243\214(webcam).py" | 61 +++++++++++++++++++
 1 file changed, 61 insertions(+)
 create mode 100644 "\354\260\270\352\263\240\354\236\220\353\243\214(webcam).py"

diff --git "a/\354\260\270\352\263\240\354\236\220\353\243\214(webcam).py" "b/\354\260\270\352\263\240\354\236\220\353\243\214(webcam).py"
new file mode 100644
index 0000000..bbcbfbc
--- /dev/null
+++ "b/\354\260\270\352\263\240\354\236\220\353\243\214(webcam).py"
@@ -0,0 +1,61 @@
+import cv2
+import face_recognition
+ 
+# load your image
+image_to_be_matched = face_recognition.load_image_file('my_image.jpg')
+name = "Kyohoon Sim"
+ 
+# encoded the loaded image into a feature vector
+image_to_be_matched_encoded = face_recognition.face_encodings(image_to_be_matched)[0]
+print(image_to_be_matched_encoded)
+ 
+# open webcam
+webcam = cv2.VideoCapture(0)
+ 
+if not webcam.isOpened():
+    print("Could not open webcam")
+    exit()
+ 
+# loop through frames
+while webcam.isOpened():
+ 
+    # read frame from webcam
+    status, frame = webcam.read()
+ 
+    if not status:
+        print("Could not read frame")
+        exit()
+ 
+    # face_locations = face_recognition.face_locations(frame) # HoG 기반 얼굴 검출기
+    face_locations = face_recognition.face_locations(frame, number_of_times_to_upsample=0, model="cnn") # CNN 기반 얼굴 검출기
+ 
+    for face_location in face_locations:
+ 
+        # Print the location of each face in this image
+        top, right, bottom, left = face_location
+ 
+        # You can access the actual face itself like this:
+        face_image = frame[top:bottom, left:right]
+ 
+        try:
+            face_encoded = face_recognition.face_encodings(face_image)[0]
+            result = face_recognition.compare_faces([image_to_be_matched_encoded], face_encoded, 0.5)
+ 
+            if result[0] == True:
+                cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
+                Y = top - 10 if top - 10 > 10 else top + 10
+                text = name
+                cv2.putText(frame, text, (left, Y), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
+        except:
+            pass
+ 
+    # display output
+    cv2.imshow("detect me", frame)
+ 
+    # press "Q" to stop
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+ 
+# release resources
+webcam.release()
+cv2.destroyAllWindows()

From b69a33517507c717946506509a5f79aad82da938 Mon Sep 17 00:00:00 2001
From: Jimin Jung <97026673+jimin509@users.noreply.github.com>
Date: Sun, 11 Dec 2022 19:35:15 +0900
Subject: [PATCH 2/2] =?UTF-8?q?Delete=20=EC=B0=B8=EA=B3=A0=EC=9E=90?=
 =?UTF-8?q?=EB=A3=8C(webcam).py?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 ...63\240\354\236\220\353\243\214(webcam).py" | 61 -------------------
 1 file changed, 61 deletions(-)
 delete mode 100644 "\354\260\270\352\263\240\354\236\220\353\243\214(webcam).py"

diff --git "a/\354\260\270\352\263\240\354\236\220\353\243\214(webcam).py" "b/\354\260\270\352\263\240\354\236\220\353\243\214(webcam).py"
deleted file mode 100644
index bbcbfbc..0000000
--- "a/\354\260\270\352\263\240\354\236\220\353\243\214(webcam).py"
+++ /dev/null
@@ -1,61 +0,0 @@
-import cv2
-import face_recognition
- 
-# load your image
-image_to_be_matched = face_recognition.load_image_file('my_image.jpg')
-name = "Kyohoon Sim"
- 
-# encoded the loaded image into a feature vector
-image_to_be_matched_encoded = face_recognition.face_encodings(image_to_be_matched)[0]
-print(image_to_be_matched_encoded)
- 
-# open webcam
-webcam = cv2.VideoCapture(0)
- 
-if not webcam.isOpened():
-    print("Could not open webcam")
-    exit()
- 
-# loop through frames
-while webcam.isOpened():
- 
-    # read frame from webcam
-    status, frame = webcam.read()
- 
-    if not status:
-        print("Could not read frame")
-        exit()
- 
-    # face_locations = face_recognition.face_locations(frame) # HoG 기반 얼굴 검출기
-    face_locations = face_recognition.face_locations(frame, number_of_times_to_upsample=0, model="cnn") # CNN 기반 얼굴 검출기
- 
-    for face_location in face_locations:
- 
-        # Print the location of each face in this image
-        top, right, bottom, left = face_location
- 
-        # You can access the actual face itself like this:
-        face_image = frame[top:bottom, left:right]
- 
-        try:
-            face_encoded = face_recognition.face_encodings(face_image)[0]
-            result = face_recognition.compare_faces([image_to_be_matched_encoded], face_encoded, 0.5)
- 
-            if result[0] == True:
-                cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
-                Y = top - 10 if top - 10 > 10 else top + 10
-                text = name
-                cv2.putText(frame, text, (left, Y), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
-        except:
-            pass
- 
-    # display output
-    cv2.imshow("detect me", frame)
- 
-    # press "Q" to stop
-    if cv2.waitKey(1) & 0xFF == ord('q'):
-        break
- 
-# release resources
-webcam.release()
-cv2.destroyAllWindows()