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Doing attendance of whole classroom with few shots using Python's Flask framework. Feature extraction of detected faces by mtcnn done by fine tuning VVGFace on siamese network.

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Reshi-aafaq/one-Shot-Attendance

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docker image at https://hub.docker.com/r/reshiaafaq/osa_docker

Use python 3.7.9.

pip install -r requirements.txt.

Download the model from https://www.kaggle.com/code/raafaq/face-recognition-using-vggface-transfer-learning/data named as "mod2" & paste it in this folder then rename to "modelll".

You can find the notebook which is used for training the model here https://www.kaggle.com/code/raafaq/face-recognition-using-vggface-transfer-learning/

Please set your: app.config['MAIL_USERNAME'] = '[email protected]' app.config['MAIL_PASSWORD'] = 'password'

For setting the password please refer to this link: https://support.google.com/mail/answer/185833?hl=en-GB .

For registering more email ids refer to this route once server starts: /register.

Paper for the new architecture: https://www.ijtsrd.com/engineering/computer-engineering/47869/vggface-transfer-learning-and-siamese-network-for-face-recognition/aafaq-altaf

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Doing attendance of whole classroom with few shots using Python's Flask framework. Feature extraction of detected faces by mtcnn done by fine tuning VVGFace on siamese network.

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