State-of-the-art 2D and 3D Face Analysis Project
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Updated
Aug 19, 2024 - Python
State-of-the-art 2D and 3D Face Analysis Project
Implementation of popular deep learning networks with TensorRT network definition API
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
RetinaFace: Deep Face Detection Library for Python
nniefacelib是一个在海思35xx系列芯片上运行的人脸算法库
InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.
yolov8 face detection with landmark
yolov7 face detection with landmark
The remake of the https://github.com/biubug6/Pytorch_Retinaface
适用于复杂场景的人脸识别身份认证系统
Reimplement RetinaFace use C++ and TensorRT
Face Analysis: Detection, Age Gender Estimation & Recognition
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.
基于人脸关键区域提取的人脸识别(LFW:99.82%+ CFP_FP:98.50%+ AgeDB30:98.25%+)
RetinaFace (RetinaFace: Single-stage Dense Face Localisation in the Wild, published in 2019) reimplemented in Tensorflow 2.0, with pretrained weights available !
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
[CVPR 2020] Reimplementation of RetinaFace, faster and stronger.
Fast and reliable face detection with RetinaFace.PyTorch
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