Retinaface get 80.99% in widerface hard val using mobilenet0.25.
翻译 - 使用mobilenet 0.25，Retinaface在更广泛的面部硬质测试中可获得80.99％的评分。
RetinaFace: Deep Face Detection Library for Python
#人脸识别#The remake of the https://github.com/biubug6/Pytorch_Retinaface
翻译 - https://github.com/biubug6/Pytorch_Retinaface的翻拍
Reimplement RetinaFace use C++ and TensorRT
RetinaFace detector with C++
翻译 - 带有C ++的RetinaFace检测器
Reimplement RetinaFace with Pytorch
RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
这是一个retinaface-pytorch的源码，可以用于训练自己的模型。
基于Yolov5车牌检测,更快更准.
这是一个利用facenet和retinaface实现人脸识别的库，可以进行在线的人脸识别。
A High-Performance Pytorch Implementation of face detection models, including RetinaFace and DSFD
This is a project based on retinaface face detection, including ghostnet and mobilenetv3
Implementation for MAVI Face detection using RetinaFace pretrained on Widerface dataset
ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&¢erface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetss...
这是一个利用facenet和retinaface实现人脸识别的库，可以进行在线的人脸识别。
使用retinaface完成车牌关键点检测，并在tensorRT下部署
Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt
基于RetinaFace的目标检测方法，适用于人脸、缺陷、小目标、行人等
使用google开源的facenet 进行人脸识别，其中使用RetinaFace模型进行人脸对齐
Retinaface人脸检测网络 MNN、NCNN嵌入式，Linux端推理源码，包含一个卡通人脸检测的模型，脚本一键构建可执行程序
face detection face recognition包含人脸检测(retinaface,yolov5face,yolov7face,yolov8face),人脸检测跟踪(ByteTracker)，人脸角度计算（Face_Angle）人脸矫正(Face_Aligner)，人脸识别(Arcface)，口罩检测(MaskRecognitiion)，年龄性别检测(Gender_age)，静默...