add basic python to get face vector

Author: Vladimir Kocheryzhkin

get_face_vector.py

@@ -0,0 +1,46 @@
+#How to call example
+#python get_face_vector.py -i test2.bmp
+
+import optparse
+import dlib
+import pickle
+from skimage import io
+detector = dlib.get_frontal_face_detector()
+
+def getAllFaceBoundingBoxes(rgbImg):
+  assert rgbImg is not None
+  try:
+    return detector(rgbImg, 1)
+  except Exception as e:
+    print("Warning: {}".format(e))
+    return []  
+
+if __name__ == '__main__':
+  parser = optparse.OptionParser()
+  parser.add_option("-i", "--image", dest="image", default = 'test.bmp')
+  sp = dlib.shape_predictor('shape_predictor_5_face_landmarks.dat')
+  facerec = dlib.face_recognition_model_v1('dlib_face_recognition_resnet_model_v1.dat')
+  options, _ = parser.parse_args()
+  f = options.image
+  img = io.imread(f)
+  dets = getAllFaceBoundingBoxes(img)
+  # print("Number of faces detected: {}".format(len(dets)))
+  # for i, d in enumerate(dets):
+  #   shape = sp(img, d)
+  #   v = facerec.compute_face_descriptor(img, shape);
+
+
+  faces = dlib.full_object_detections()
+  for detection in dets:
+    faces.append(sp(img, detection))
+
+  images = dlib.get_face_chips(img, faces, size=150, padding=0.25)
+
+  img = images[0]
+  dets = getAllFaceBoundingBoxes(img)
+  for i, d in enumerate(dets):
+    shape = sp(img, d)
+    v = facerec.compute_face_descriptor(img, shape);
+
+  with open('face.vec', 'wb') as handle:
+    pickle.dump(v, handle)