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    img_h, img_w, img_c = image.shape
    face_3d = []
    face_2d = []

    if results.multi_face_landmarks:
        for face_landmarks in results.multi_face_landmarks:
          for idx, lm in enumerate(face_landmarks.landmark):
              if idx == 33 or idx == 263 or idx == 1 or idx == 61 or idx == 291 or idx == 199:
                if idx == 1:
                  nose_2d = (lm.x * img_w, lm.y * img_h)

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    # Flip the image horizontally for a later selfie-view display
    # Also convert the color space from BGR to RGB
    image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)

    # To improve performance
    image.flags.writeable = False

    # Get the results
    results = face_mesh.process(image)

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		# Flip the image horizontally for a later selfie-view display
		# Also convert the color space from BGR to RGB
		image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)
		
		# To improve performance
		image.flags.writeable = False
		
		# Get the results
		results = face_mesh.process(image)
		

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while cap.isOpened():
    success, image = cap.read()

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mp_face_mesh = mp.solutions.face_mesh
face_mesh = mp_face_mesh.FaceMesh(min_detection_confidence=0.5, min_tracking_confidence=0.5)
cap = cv2.VideoCapture(0) 

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import cv2
import mediapipe as mp
import numpy as np

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import cv2
import mediapipe as mp
import numpy as np

mp_face_mesh = mp.solutions.face_mesh
face_mesh = mp_face_mesh.FaceMesh(min_detection_confidence=0.5, min_tracking_confidence=0.5)
cap = cv2.VideoCapture(0)

while cap.isOpened():
    success, image = cap.read()

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from flask import Flask, Response
import cv2

app = Flask(__name__)
video = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier()
face_cascade.load(cv2.samples.findFile("static/haarcascade_frontalface_alt.xml"))

@app.route('/')
def index():

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if __name__ == '__main__':
    app.run(host='0.0.0.0', port=2204, threaded=True)

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@app.route('/video_feed')
def video_feed():
		# Set to global because we refer the video variable on global scope, 
		# Or in other words outside the function
    global video

		# Return the result on the web
    return Response(gen(video),
                    mimetype='multipart/x-mixed-replace; boundary=frame')