Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks - TropComplique/mtcnn-pytorch
MTCNN end-to-end in PyTorch. Contribute to galbiati/mtcnn development by creating an account on GitHub.
A face detection algorithm. Contribute to Sierkinhane/mtcnn-pytorch development by creating an account on GitHub.
A face detection algorithm. Contribute to Sierkinhane/mtcnn-pytorch development by creating an account on GitHub.
mtcnn用pytorch实现代码(从入门到工程化) mtcnn实现了由粗到精的人脸检测框架,具有承上启下的意义。 mtcnn分为三个网络,网络模型都很小。原版论文里面的多任务有人脸检测、人脸目标框回归及人脸关键点回归。 这里做了简化,只做了人脸检测和人脸目标框回归。 在实现过程中,参考了:MTCNN_face_detection_alignment和MTC...
A face detection algorithm. Contribute to ZhaoMonica/mtcnn-pytorch development by creating an account on GitHub.
基于Pytorch实现的MTCNN模型,人脸检测,人脸关键点检测。. Contribute to bopo/Pytorch-MTCNN development by creating an account on GitHub.
this repo, removing the '-' to allow python imports:git clone https://github.com/timesler/facenet-pytorch.git facenet_pytorch#or use a docker container (see https://github.com/timesler/docker-jupyter-dl-gpu):docker run -it --rm timesler/jupyter-dl-gpu pip install facenet-pytorch&&...
https://github.com/tkwoo/S3FD.pytorch(code: editing pytorch 1.3 style) https://github.com/yxlijun/S3FD.pytorch(original code) insightface(retinaface) https://github.com/deepinsight/insightface(code) Releases No releases published Packages
源码地址:https://github.com/yeyupiaoling/Pytorch-MTCNN 环境 Pytorch 1.8.1 Python 3.7 文件介绍 models/Loss.py MTCNN所使用的损失函数,包括分类损失函数、人脸框损失函数、关键点损失函数 models/PNet.py PNet网络结构 models/RNet.py RNet网络结构 models/ONet.py ONet网络结构 utils/data_format_converter....