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43503a9
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Parent(s):
5bd79e3
Update app.py
Browse files
app.py
CHANGED
@@ -10,7 +10,7 @@ images = []
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personNames = []
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myList = os.listdir(path)
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unkownEncodings=[]
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print(myList)
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for cu_img in myList:
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current_Img = cv2.imread(f'{path}/{cu_img}')
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@@ -32,36 +32,61 @@ def faceEncodings(images):
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encodeListKnown = faceEncodings(images)
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print('All Encodings Complete!!!')
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def Attandance(video):
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demo=gr.Interface(fn=Attandance,
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inputs="video",
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outputs="text",
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title="Face Attendance",
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personNames = []
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myList = os.listdir(path)
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unkownEncodings=[]
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print(myList)
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for cu_img in myList:
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current_Img = cv2.imread(f'{path}/{cu_img}')
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encodeListKnown = faceEncodings(images)
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print('All Encodings Complete!!!')
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def Attandance(text,video,image):
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names=[]
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if video is not None:
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cap = cv2.VideoCapture(video)
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index=1
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while True:
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try:
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ret, frame = cap.read()
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#faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
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faces = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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facesCurrentFrame = face_recognition.face_locations(faces)
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encodesCurrentFrame = face_recognition.face_encodings(faces, facesCurrentFrame)
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for encodeFace, faceLoc in zip(encodesCurrentFrame, facesCurrentFrame):
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matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
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faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
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# print(faceDis)
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matchIndex = np.argmin(faceDis)
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if matches[matchIndex]:
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name = personNames[matchIndex].upper()
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if names.count(name) == 0:
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names.append(name)
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cv2.waitKey(1)
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except:
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break
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return ' '.join(names)
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else:
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try:
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#faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
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faces = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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facesCurrentFrame = face_recognition.face_locations(faces)
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encodesCurrentFrame = face_recognition.face_encodings(faces, facesCurrentFrame)
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for encodeFace, faceLoc in zip(encodesCurrentFrame, facesCurrentFrame):
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matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
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faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
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# print(faceDis)
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matchIndex = np.argmin(faceDis)
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if matches[matchIndex]:
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name = personNames[matchIndex].upper()
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if names.count(name) == 0:
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names.append(name)
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cv2.waitKey(1)
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except:
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break
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return ' '.join(names)
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demo=gr.Interface(fn=Attandance,
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inputs=["text","video","image"],
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outputs="text",
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title="Face Attendance",
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