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from flask import Flask, render_template, Response
import cv2
app=Flask(__name__)
camera = cv2.VideoCapture(0)
def frames():
while True:
success, frame = camera.read() # read the camera frame
if not success:
break
else:
detector=cv2.CascadeClassifier('cascadesxml\haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('cascadesxml\haarcascade_eye.xml')
faces=detector.detectMultiScale(frame,1.1,7)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
#Draw the rectangle around each face
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 255), 2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray, 1.1, 3)
for (ex, ey, ew, eh) in eyes:
cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (255, 255, 0), 2)
ret, buffer = cv2.imencode('.jpg', frame)
frame = buffer.tobytes()
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
@app.route('/')
def index():
return render_template('index.html')
@app.route('/video_feed')
def video_feed():
return Response(frames(), mimetype='multipart/x-mixed-replace; boundary=frame')
if __name__=='__main__':
app.run(debug=True) |