State-of-the-art 2D and 3D Face Analysis Project
-
Updated
May 15, 2024 - Python
State-of-the-art 2D and 3D Face Analysis Project
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
RetinaFace: Deep Face Detection Library for Python
InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.
The remake of the https://github.com/biubug6/Pytorch_Retinaface
yolov7 face detection with landmark
适用于复杂场景的人脸识别身份认证系统
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%+)
yolov8 face detection with landmark
Face Analysis: Detection, Age Gender Estimation & Recognition
This is a project based on retinaface face detection, including ghostnet and mobilenetv3
[CVPR 2020] Reimplementation of RetinaFace, faster and stronger.
implementation of insightface by using Tensorflow
Fast and reliable face detection with RetinaFace.PyTorch
RetinaFace (RetinaFace: Single-stage Dense Face Localisation in the Wild, published in 2019) reimplemented in Tensorflow 2.0, with pretrained weights available !
arcface and retinaface model convert mxnet to onnx.
Inference Code for RetinaFace with MobileNet Backend in PyTorch
[Re-implementation] RetinaFace: Single-stage Dense Face Localisation in the Wild
Add a description, image, and links to the retinaface topic page so that developers can more easily learn about it.
To associate your repository with the retinaface topic, visit your repo's landing page and select "manage topics."