|about 1 month ago||4 months ago|
|MIT License||MIT License|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Query regarding Multiple face recognization system
2 projects | reddit.com/r/MLQuestions | 25 Nov 2021
It's generally better to split the task into a multiple tasks. First I'd want to detect and extract faces. There are a number of pretrained models that you could use for that, e.g. https://github.com/timesler/facenet-pytorch, https://github.com/opencv/opencv/tree/master/data/haarcascades. Once you've extracted faces, you can train a facial recognition using something like a siamese network as you normally would.
What are some alternatives?
NudeNet - Neural Nets for Nudity Detection and Censoring
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
anime-face-detector - Anime Face Detector using mmdet and mmpose
onnx-tensorflow - Tensorflow Backend for ONNX
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
CompreFace - Leading free and open-source face recognition system
DeepFake-Detection - Towards deepfake detection that actually works