kenmw Goto Github PK
Name: Kenneth Gomani
Type: User
Bio: a telecommunications engineering student in love with code
Twitter: kay_nii
Location: Blantyre,malawi
Name: Kenneth Gomani
Type: User
Bio: a telecommunications engineering student in love with code
Twitter: kay_nii
Location: Blantyre,malawi
solution to a challenge from frontendmentor.io
have fun playing the drum!!
face recognition using python opencv and tensorflow
This implementation is based on the Facenet paper published by Google, which proposes the idea of using inception module (basically inception network) for the task of facial recognition. This method uses a deep convolutional network trained to directly optimize the embedding itself, rather than an intermediate bottleneck layer as in previous deep learning approaches where the training is done on the complete picture rather than the face area only. To train, triplets of roughly aligned matching / non-matching face patches generated using a novel online triplet mining method. However, here we will be using the pretrained weights which is uploaded here as well for one's easy access. The benefit of this approach is much greater representational efficiency, since face recognition performance is using only 128-bytes per face.
frontendmentor.io css challenges
solution to a HTML/CSS challenge i got from frontendmentor.io
Live Face Identification with pre-trained VGGFace2 model
Face recognition with deep neural networks.
solution to a challenge from frontendmentor.io
solution to a frontendmentor.io challenge
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