susantabiswas / facerecog

Realtime Facial recognition system using Siamese neural network

Hi! I'm Susanta! 👋

• 🔭 Working on hyper-scale distributed systems.
• 🔭 Experienced in solving practical computer vision and NLP problems.
• 🌱 I’m currently learning more about distributed systems.

facerecog's Issues

No such file or directory: 'database/user_dict.pickle

FileNotFoundError Traceback (most recent call last)
in
1 # add a user
----> 2 add_user_img_path(user_db, FRmodel, "susanta", "images/2.jpg")

in add_user_img_path(user_db, FRmodel, name, img_path)
4 user_db[name] = img_to_encoding(img_path, FRmodel)
5 # save the database
----> 6 with open('database/user_dict.pickle', 'wb') as handle:
7 pickle.dump(user_db, handle, protocol=pickle.HIGHEST_PROTOCOL)
8 print('User ' + name + ' added successfully')

FileNotFoundError: [Errno 2] No such file or directory: 'database/user_dict.pickle'

@susantabiswas

How to handle it ?

Error while restoring model

I am getting the following error while restoring the model.
The file for inception_blocks_v2 was also missing and could not be imported. I downloaded it from here and also its dependency fr_utils.py.

ValueError: Shape must be rank 1 but is rank 4 for 'bn1/cond/FusedBatchNorm' (op: 'FusedBatchNorm') with input shapes: [?,64,48,48], [1,64,1,1], [1,64,1,1], [1,64,1,1], [1,64,1,1].
Using Keras 2.2.0, Tensorflow 1.8.0

LICENSE?

I see that the license was deleted. Can somebody help explain what the licensing or add the correct LICENSE file?

using images from disk rather then taking from webcam

Error when checking : expected input_1 to have shape (None, 3, 96, 96) but got array with shape (1, 3, 90, 70)
getting this error in add_user_image_path funtion
can u help me to fix it

Value Error

Hi, can you help me, should i resize my phoro before add for user or need scale 96x96?
It's message when just photo
ValueError: Error when checking input: expected input_1 to have shape (3, 96, 96) but got array with shape (3, 648, 464)

But when i resize the photo to 96x96, it added to base but doesn't do face recognition and also have got the error with resize (empty data).

thanks for answer

ValueError while loading model.

ValueError: Shape must be rank 1 but is rank 4 for 'bn1/cond/FusedBatchNorm' (op: 'FusedBatchNorm') with input shapes: [?,64,48,48], [1,64,1,1], [1,64,1,1], [1,64,1,1], [1,64,1,1].
I am using Keras 2.2.0 and Tensorflow 1.8.0. I am not able to load the model and getting an error at the following line.
FRmodel = load_model('models/model.h5', custom_objects={'triplet_loss': triplet_loss}). Is there an updated model file?

np.set_printoptions(threshold=np.nan)

ValueError: threshold must be numeric and non-NAN, try sys.maxsize for untruncated representation

Where is the Siamese neural network？

Where is the Siamese neural network？