Face Recognition
PicSort Gallery
Smart Face Detector
Face It
Celebrity Face Detector
Dlib
Hiface
#twinning
TensorFlow
PyTorch
Keras
Scikit-learn
IBM Watson Studio
H2O.ai
Azure Machine Learning Studio
Azure Machine Learning Service
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Based on our record, Face Recognition should be more popular than TensorFlow. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Syncthing, python face_recognition [1], a static gallery (sigal [2]), and a few lines of bash and its fully automatic. I can even share links with family. [1] https://github.com/ageitgey/face_recognition. - Source: Hacker News / 6 months ago
Camera connected to a PI? Something like this could run locally: https://github.com/ageitgey/face_recognition. Source: over 1 year ago
One of the most common challenges is the black-box problem, when the pipeline becomes too complex to understand it would happen. This can make it difficult to identify issues with the system or to understand why it isn't working as we expected or make accurate predictions that saiwa company find out the solution for Face Recognition. Another challenge is the time required for organizations to deploy a machine... Source: about 2 years ago
Second link is an easy to implement python library is you want to build it yourself Https://github.com/ageitgey/face_recognition. Source: about 2 years ago
It is similar to https://github.com/ageitgey/face_recognition, except that Ageitgey's cli only compares the first face found in the image to the first one found the the second. Source: over 2 years ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
PicSort Gallery - PicSort Gallery is an application that lets you coherently arrange all your unorganized data in your phone library by allowing you to select all the images in your phone storage.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Smart Face Detector - Smart Face Detector is an application used to detect faces that try to enter your phone and restricted program.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Face It - Face It is an app that detects faces using the convolutional neural network with the help of input received from the mobile’s front camera.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
