init

app.py

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+"""
+Face detenction Module
+
+@auther : alisharify
+2023/9/2 - 1402/6/8
+
+"""
+
+
+import time
+import datetime
+from threading import Thread
+
+import cv2 as cv
+from memory_profiler import profile
+from deepface import DeepFace
+
+
+global faceMatch
+global FaceData
+global CheckFalg
+
+CheckFalg = True
+faceMatch = False
+FaceData = None
+sourceImage = cv.imread("./img.jpg")
+
+cap = cv.VideoCapture(0)
+
+
+def checkFace(frame):
+    """ 
+        this Function take an image frame and 
+        check for face and compare face with source image
+    """
+    global faceMatch
+    global CheckFalg
+    global FaceData
+
+
+    try:
+        FaceData = DeepFace.verify(frame, sourceImage)
+        faceMatch = FaceData['verified'] 
+        FaceData = FaceData["facial_areas"]
+    except Exception as e:
+        faceMatch = False
+
+    CheckFalg = True
+
+
+# def AnalizyeFace(frame):
+#     global Counter
+#     Counter += 1
+#     if Counter  == 60:
+#         Counter = 0
+#         result = DeepFace.analyze(frame)[0]
+#         print(json.dumps(result, indent=1))
+
+
+
+timer = time.time()
+imageCounter = 0
+FPS = 0
+
+while cap.isOpened():
+
+    ret, frame = cap.read()
+    if not ret:
+        break
+
+    if CheckFalg:
+        counter = 0
+        print(f"Thread Started !{imageCounter}")
+        Thread(target=checkFace, args=(frame.copy(), )).start()
+
+
+        CheckFalg = False
+
+    if faceMatch:
+
+        frame = cv.putText(img=frame,
+            org=(0, 690) ,text="Face Match",  color=(0, 0, 255),
+            fontFace=cv.FONT_HERSHEY_DUPLEX, thickness=3, fontScale=1.5)
+
+        frame = cv.rectangle(frame, (0,698), (300,698), color=(0 , 0, 255), thickness=2)
+
+
+        x = "img1"
+        startPoint = (FaceData[x]['x'], FaceData[x]['y'],)
+        endPoint = (FaceData[x]['x']+FaceData[x]['w'], FaceData[x]['y']+FaceData[x]['h'],)
+
+        # draw a rectangle around the face in frame
+        frame = cv.rectangle(frame, startPoint, endPoint, color=(0 , 255, 0), thickness=3)
+
+        # add person name to frame
+        frame = cv.putText(img=frame,
+            org=(endPoint[0]-100, endPoint[1]+20), text="Name",
+            color=(0, 0, 255), fontFace=cv.FONT_HERSHEY_DUPLEX, thickness=2, fontScale=0.6)
+
+        frame = cv.putText(img=frame,
+            org=(endPoint[0]-100, endPoint[1]+40), text=f"x:{startPoint[0]},y:{startPoint[1]}",
+            color=(0, 0, 255), fontFace=cv.FONT_HERSHEY_DUPLEX, thickness=1, fontScale=0.6)
+
+
+    else:
+        frame = cv.putText(img=frame,
+            org =(0, 690) , text="No Match", color=(0, 255, 0), 
+            fontFace=cv.FONT_HERSHEY_DUPLEX, thickness=3, fontScale=1.5)
+        frame = cv.rectangle(frame, (0,698), (225, 698), color=(0 , 255, 0), thickness=2)
+
+    frame = cv.putText(img=frame,
+        org=(0, 715), text=f"{datetime.datetime.utcnow()}", color=(0, 0, 255),
+        fontFace=cv.FONT_HERSHEY_DUPLEX, thickness=1, fontScale=0.6)
+
+
+    # FPS
+    imageCounter += 1
+    now = time.time()
+    if now - timer > 1:
+        FPS = imageCounter / 1
+        imageCounter = 0
+        timer = time.time()
+
+    frame = cv.putText(img=frame,
+        org=(0, 20), text=f"FPS:{FPS}",
+        color=(0, 0, 255), fontFace=cv.FONT_HERSHEY_DUPLEX, thickness=1, fontScale=0.6)
+
+    frame = cv.resize(frame, (920, 640))
+    cv.imshow("video", frame)
+
+
+    if cv.waitKey(1) & 0xFF == ord('q'):
+        break
+
+
+cap.release()
+cv.destroyAllWindows()
+

requirements.txt

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+memory_profiler
+deepface
+opencv-python