ImportError Traceback (most recent call last)
in ()
----> 1 from progressbar import ProgressBar
2
3 num_images = metadata.shape[0]
4 progress = ProgressBar(num_images)
5 progress.start()

ImportError: No module named progressbar

Could you help me?

Hi Tess,
Iam trying to run FaceNet.ipynb with LFW dataset..
But when Iam using full LFW dataset or more than 299 persons, In progressbar section I meet error:

`12 img = align_image(img)
13 # scale RGB values to interval [0,1]
---> 14 img = (img / 255.).astype(np.float32)
15 # obtain embedding vector for image
16 embedded[i] = nn4_small2_pretrained.predict(np.expand_dims(img, axis=0))[0]

TypeError: unsupported operand type(s) for /: 'NoneType' and 'float'
`
When Iam trying with less dataset it works properly.
How I can solve this, can you give me any suggestions?

RuntimeError Traceback (most recent call last)
in
14
15 # Initialize the OpenFace face alignment utility
---> 16 alignment = AlignDlib('models/landmarks.dat')
17
18 def show_original_and_aligned(img_index):

~\Downloads\research-papers-master\facenet\align.py in init(self, facePredictor)
87
88 self.detector = dlib.get_frontal_face_detector()
---> 89 self.predictor = dlib.shape_predictor(facePredictor)
90
91 def getAllFaceBoundingBoxes(self, rgbImg):

RuntimeError: Unable to open models/landmarks.dat

@TessFerrandez Hi, Hope u are fine and doing your's best. I have watch your discussion with Tim Scarfe on youtube at this youtube Link
Finally i decide to implement it in a following scenario: Suppose I have database which is currently empty and i give the different image face images and pre-trained Face-net convert the image in to vector embedding and save it in a sorted manner under User-1 and vice versa, Finally at testing time it gives matching result, if that face belong to data entity residing in database.
How the current scenario will be well fitted against this repo? kindly reply
Best Regards
Sharose