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app.py
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app.py
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from flask import Flask,render_template,Response
import cv2
app=Flask(__name__)
camera=cv2.VideoCapture(0)
def generate_frames():
first_frame = None
face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("haarcascade_eye.xml")
while True:
## read the camera frame
success,frame=camera.read()
if not success:
break
else:
gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
gray_image = cv2.GaussianBlur(gray,(21,21),0)
if first_frame is None:
first_frame=gray_image
try:
faces = face_cascade.detectMultiScale(gray_image,scaleFactor=1.05,minNeighbors=5)
eyes = eye_cascade.detectMultiScale(gray_image,scaleFactor=1.05,minNeighbors=5)
for x,y,w,h in faces:
frame = cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),3)
for x,y,w,h in eyes:
frame = cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),3)
finally:
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')
def video():
return Response(generate_frames(),mimetype='multipart/x-mixed-replace; boundary=frame')
if __name__=="__main__":
app.run(debug=True)