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Live_face_eye_detection

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nisharg nargund commited on
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31b916c
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1 Parent(s): 8ac31e1

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Files changed (6) hide show
  1. app.py +40 -0
  2. haarcascade_eye.xml +0 -0
  3. haarcascade_frontalface_default.xml +0 -0
  4. index.html +17 -0
  5. main.py +33 -0
  6. result.html +18 -0
app.py ADDED
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+
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+
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+ from flask import Flask, render_template, Response
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+ import cv2
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+ app=Flask(__name__)
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+ camera = cv2.VideoCapture(0)
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+
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+
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+ def frames():
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+ while True:
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+ success, frame = camera.read() # read the camera frame
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+ if not success:
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+ break
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+ else:
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+ detector=cv2.CascadeClassifier('cascadesxml\haarcascade_frontalface_default.xml')
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+ eye_cascade = cv2.CascadeClassifier('cascadesxml\haarcascade_eye.xml')
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+ faces=detector.detectMultiScale(frame,1.1,7)
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+ gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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+ #Draw the rectangle around each face
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+ for (x, y, w, h) in faces:
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+ cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 255), 2)
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+ roi_gray = gray[y:y+h, x:x+w]
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+ roi_color = frame[y:y+h, x:x+w]
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+ eyes = eye_cascade.detectMultiScale(roi_gray, 1.1, 3)
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+ for (ex, ey, ew, eh) in eyes:
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+ cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (255, 255, 0), 2)
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+
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+ ret, buffer = cv2.imencode('.jpg', frame)
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+ frame = buffer.tobytes()
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+ yield (b'--frame\r\n'
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+ b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
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+
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+ @app.route('/')
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+ def index():
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+ return render_template('index.html')
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+ @app.route('/video_feed')
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+ def video_feed():
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+ return Response(frames(), mimetype='multipart/x-mixed-replace; boundary=frame')
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+ if __name__=='__main__':
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+ app.run(debug=True)
haarcascade_eye.xml ADDED
The diff for this file is too large to render. See raw diff
 
haarcascade_frontalface_default.xml ADDED
The diff for this file is too large to render. See raw diff
 
index.html ADDED
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+ <!DOCTYPE html>
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+ <html>
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+
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+
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+ <body>
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+ <div class="container">
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+ <div class="row">
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+ <div class="col-lg-8 offset-lg-2">
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+ <center><h3 class="mt-5">Live Face and Eye Detection</h3></center>
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+ <img src="{{ url_for('video_feed') }}" width="50%">
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+ </div>
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+ </div>
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+ </div>
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+ </body>
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+
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+
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+ </html>
main.py ADDED
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+
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+
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+ from flask import Flask, render_template, Response
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+ import cv2
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+ app=Flask(__name__)
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+ camera = cv2.VideoCapture(0)
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+
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+
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+ def gen():
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+ while True:
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+ success, frame = camera.read() # read the camera frame
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+ if not success:
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+ break
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+ else:
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+ detector=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
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+ faces=detector.detectMultiScale(frame,1.1,7)
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+ #Draw the rectangle around each face
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+ for (x, y, w, h) in faces:
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+ cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
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+
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+ ret, buffer = cv2.imencode('.jpg', frame)
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+ frame = buffer.tobytes()
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+ yield (b'--frame\r\n'
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+ b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
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+
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+ @app.route('/')
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+ def index():
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+ return render_template('index.html')
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+ @app.route('/video_feed')
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+ def video_feed():
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+ return Response(gen(), mimetype='multipart/x-mixed-replace; boundary=frame')
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+ if __name__=='__main__':
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+ app.run(debug=True)
result.html ADDED
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+ <html>
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+
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+ <h2>Final Results</h2>
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+
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+ <body>
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+ <table border=2>
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+ {% for key,value in result.items() %}
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+ <tr>
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+ {# This is the comment sections #}
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+ <th>{{ key }}</th>
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+ <th>{{ value }}</th>
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+
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+ </tr>
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+ {% endfor %}
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+ </table>
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+ </body>
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+
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+ </html>