prdimp50.pth.tar

resnet18-5c106cde.pth

https://github.com/kenshohara/3D-ResNets-PyTorch中的预训练模型,https://drive.google.com/drive/folders/1zvl8

目标检测:yolo深度目标检测模型的预训练网络权重,下载下来后放到相应的文件夹中即可顺利加载预训练模型

facebookresearch的supervision-by-registration项目所需的pytorch模型文件。

osnet_x0_25_imagenet.pth,下载自:'osnet_x0_25': 'https://drive.google.com/uc?id=1rb8UN5ZzPKRc_xvtHlyDh-c

osnet_x0_5_imagenet.pth,下载自:'osnet_x0_5': 'https://drive.google.com/uc?id=16DGLbZukvVYgINws8u8deSaOq

osnet_x0_75_imagenet.pth,下载自:'osnet_x0_75': 'https://drive.google.com/uc?id=1uwA9fElHOk3ZogwbeY5GkLI

osnet_x1_0_imagenet.pth, 需要的请自行下载。下载自:'osnet_x1_0': 'https://drive.google.com/uc?id=1LaG1EJpHrxdAxKn

人脸检测face-alignment内置模型sfd_detector。原始下载链接https://www.adrianbulat.com/downloads/python-fan/s3fd-619a3

YOLACT预训练模型,ImageSize:700Backbone:Resnet101-FPNToevalutethemodel,putthecorrespondingweightsfileinth