This project can easily test the ncnn model and even deploy ncnn projects on python to speed up
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Updated
Jul 27, 2019 - C
This project can easily test the ncnn model and even deploy ncnn projects on python to speed up
implementation of insightface by using Tensorflow
Inference Code for RetinaFace with MobileNet Backend in PyTorch
[Re-implementation] RetinaFace: Single-stage Dense Face Localisation in the Wild
Reimplement RetinaFace use C++ and TensorRT
Implement RetinaFace based on detectron2/使用detectron2框架实现retinaface
Face Recognition using Face-net and Retina Face detection start of the art - Pytorch
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
RetinaFace: Single-stage Dense Face Localisation in the Wild, published in 2019. Reimplemented in java, with pretrained weights.
arcface and retinaface model convert mxnet to caffe, merge bn and scale into conv/fc.
Large input size REAL-TIME Face Detector on Cpp. It can also support face verification using MobileFaceNet+Arcface with real-time inference. 480P Over 30FPS on CPU
[CVPR 2020] Reimplementation of RetinaFace, faster and stronger.
Android Demon of mobilev2-yolo5s and retinaface
人脸全家桶--RetinaFace(MobileNetV2 and ResNet50 with Gender)、ArcFace、FaceBeautyRank and FaceRetrieval
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