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Biometric Features with OpenCV

Current stable version: v1.0

Release date: 11.12.2016

About:

  • Python scripts with usage of OpenCV found on different sites.

Author:

Requirements:

  • Python 2.7;
  • OpenCV;

Using:

  • Camera features (camera_features package):

Basic video capture:

./video_capture.py

To quit window press S, to make a picture press P

Face detection:

./face_detect.py

Eyes detection:

./eyes_detect.py

Object tracker:

./object_tracker.py

Motion vectors:

./motion_vectors.py
  • Images features (images_features package):

Face detection:

./detect_faces.py input_image

Eyes detection:

./detect_eyes.py input_image

Image threshold with PLT output:

./image_threshold_plt.py input_image

Resolving problems with missing libraries:

  • Install OpenCV:
brew install opencv
  • You can find OpenCV at:
/usr/local/Cellar/opencv/2.x.x/
  • Create symlinks:
ln -s /usr/local/Cellar/opencv/2.x.x/lib/python2.7/site-packages/cv.py cv.py
ln -s /usr/local/Cellar/opencv/2.x.x/lib/python2.7/site-packages/cv2.so cv2.so
  • If that will not work, copy these files to your env site-packages:
cp /usr/local/Cellar/opencv/2.x.x/lib/python2.7/site-packages/cv2.so your_project_name/env/lib/python2.7/site-packages/
cp /usr/local/Cellar/opencv/2.x.x/lib/python2.7/site-packages/cv.py your_project_name/env/lib/python2.7/site-packages/

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Train and recognise your face using built-in camera and other useful features.

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