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Currently i am working on facial recognition and i am having the following issue with the given code.

for i in range(nrof_faces):
 emb_array = np.zeros((1, embedding_size))

 bb[i][0] = det[i][0]
 bb[i][1] = det[i][1] 
 bb[i][2] = det[i][2]
 bb[i][3] = det[i][3]

 # inner exception
 if bb[i][0] <= 0 or bb[i][1] <= 0 or bb[i][2] >= len(frame[0]) or bb[i] 
 [3] >= len(frame):
 print('Face is very close!')
 continue

 cropped.append(frame[bb[i][1]:bb[i][3], bb[i][0]:bb[i][2], :])
 cropped[i] = facenet.flip(cropped[i], False)
 scaled.append(misc.imresize(cropped[i], (image_size, image_size), 
 interp='bilinear'))
 scaled[i] = cv2.resize(scaled[i], (input_image_size,input_image_size),
 interpolation=cv2.INTER_CUBIC)
 scaled[i] = facenet.prewhiten(scaled[i]) 

scaled_reshape.append(scaled[i].reshape(-1,input_image_size,input_image_size,3))

 feed_dict = images_placeholder: scaled_reshape[i], phase_train_placeholder: False
 emb_array[0, :] = sess.run(embeddings, feed_dict=feed_dict)
 predictions = model.predict_proba(emb_array)
 print(predictions)

And it is giving me following error:

Traceback (most recent call last):
File "F:stdprogramspythonCameraFacenet-Real-time-face-recognition-using-deep-learning-Tensorflowtest_video.py", line 107, in <module>
 predictions = model.predict_proba(emb_array)
File "C:Program FilesPython36libsite-packagessklearnsvmbase.py", line 613, in _predict_proba
 X = self._validate_for_predict(X)
File "C:Program FilesPython36libsite-packagessklearnsvmbase.py", line 478, in _validate_for_predict
 (n_features, self.shape_fit_[1]))
ValueError: X.shape[1] = 128 should be equal to 512, the number of features at training time