A project to detect and recognize faces from live webcams by comparing with images in database efficiently, by using the Computer Vision library OpenCV..
- Python 2.7
- OpenCV 2.4.13 (I used the wheel opencv_python-2.4.13-cp27-cp27m-win32.whl from http://www.lfd.uci.edu/~gohlke/pythonlibs/ )
- To capture images from webcam:
python photo.py
#Image will be saved as name.time.png
- To train the model:
python Train_Images.py
- To perform facial recognition using webcam:
python Recognizer.py webcam
- Edit the configs.py file as you see fit for your datasets.
- You may put the images to train in the images_db folder, under the general format
person_name.anything.png - (Make sure each there are atleast 3 pictures of each person in different angles for better results)
- The Train_Images.py script will output the trained model face_rec_saved_model.yaml, which will be used by Recognizer.py for recognition.
http://docs.opencv.org/2.4/modules/objdetect/doc/cascade_classification.html http://docs.opencv.org/2.4/modules/contrib/doc/facerec/facerec_tutorial.html https://realpython.com/blog/python/face-detection-in-python-using-a-webcam/ http://hanzratech.in/2015/02/03/face-recognition-using-opencv.html
Feel free to contribute by forking and sending PR 😉