Last active
May 10, 2021 15:32
-
-
Save Kakarot-2000/57198ead979a532f8037e035d845f754 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def gen_frames(): # generate frame by frame from camera | |
| while True: | |
| # Capture frame by frame | |
| success, frame = camera.read() | |
| if not success: | |
| break | |
| else: | |
| gray_img= cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) | |
| faces_detected = face_haar_cascade.detectMultiScale(gray_img, 1.32, 5) | |
| for (x,y,w,h) in faces_detected: | |
| cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),thickness=7) | |
| roi_gray=gray_img[y:y+w,x:x+h] #cropping region of interest i.e. face area from image | |
| roi_gray=cv2.resize(roi_gray,(48,48)) | |
| img_pixels = image.img_to_array(roi_gray) | |
| img_pixels = np.expand_dims(img_pixels, axis = 0) | |
| img_pixels /= 255 | |
| predictions = model.predict(img_pixels) | |
| max_index = np.argmax(predictions[0]) #find max indexed array | |
| emotions = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'] | |
| predicted_emotion = emotions[max_index] | |
| cv2.putText(frame, predicted_emotion, (int(x), int(y)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,0,255), 2) | |
| resized_img = cv2.resize(frame, (1000, 700)) | |
| 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') # concat frame one by one and show result | |
| @app.route('/video_feed') | |
| def video_feed(): | |
| return Response(gen_frames(), mimetype='multipart/x-mixed-replace; boundary=frame') | |
| @app.route('/') | |
| def index(): | |
| return render_template('index.html') | |
| if __name__ == '__main__': | |
| app.run(debug=True) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment