#cplusplus #vgg #resnet #alexnet #squeezenet #inceptionv3 #googlenet #resnext #tensorrt #crnn #senet #arcface #mobilenetv2 #yolov3 #shufflenetv2 #mnasnet #retinaface #mobilenetv3 #yolov3_spp #yolov4 #yolov5

https://github.com/wang-xinyu/tensorrtx

#python #age_estimation #arcface #face_alignment #face_detection #face_recognition #mxnet #oneflow #paddlepaddle #pytorch #retinaface

InsightFace is an open-source toolbox for 2D and 3D face analysis, using PyTorch and MXNet. It offers advanced algorithms for face recognition, detection, and alignment, optimized for both training and deployment. The project includes pre-trained models, various network backbones, and support for multiple operating systems. You can use it for non-commercial research purposes under the MIT License. Key features include integrated face-swapping models that outperform many commercial products, a cross-platform face recognition SDK, and participation in several challenges where InsightFace has achieved top rankings. This tool benefits users by providing robust and efficient face analysis capabilities with easy integration into their projects.

https://github.com/deepinsight/insightface

#python #age_prediction #arcface #deep_learning #deepface #deepid #emotion_recognition #face_analysis #face_recognition #facenet #facial_expression_recognition #facial_recognition #gender_prediction #machine_learning #openface #python #race_classification #vgg_face

DeepFace is a powerful tool for face recognition and facial attribute analysis. It allows you to recognize faces, predict age, gender, emotions, and race, and even detect whether an image is real or fake. You can install it easily using `pip install deepface` and use simple functions like `DeepFace.verify` for face verification, `DeepFace.find` for face recognition, and `DeepFace.analyze` for facial attribute analysis. DeepFace wraps several state-of-the-art models, making it highly accurate and versatile. It also supports real-time video analysis and can be integrated with various detectors and alignment methods. This tool simplifies complex face recognition tasks, making it easy to use without needing deep knowledge of the underlying processes.

https://github.com/serengil/deepface