Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc. - pretrained-models.pytorch/pretrainedmodels/models/nasnet_mobile.py at master · veronikayurchuk/pretrained-models.pytorch
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git clone https://github.com/Cadene/pretrained-models.pytorch.git cd pretrained-models.pytorch python setup.py installQuick examplesTo import pretrainedmodels: import pretrainedmodelsTo print the available pretrained models: print(pretrainedmodels.model_names) > ['fbresnet152', 'bninception', '...
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Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet) 展开 收起 暂无标签 /pessoa92/pytorch-playground Python MIT 保存更改 取消 发行版 暂无发行版 贡献者 (3) 全部 近期动态 4年多前创建了...
Pretrained models for Pytorch (Work in progress) The goal of this repo is: to help to reproduce research papers results (transfer learning setups for instance), to access pretrained ConvNets with a unique interface/API inspired by torchvision....
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.点赞(0) 踩踩(0) 反馈 访问所需:1 积分 电信网络下载 访问申明(访问视为同意此申明) 1.在网站平台的任何操作视为已阅读和同意网站底部的版权及免责申明 2.部分网络用户分享TXT文件内容为网盘...
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc. - pretrained-models.pytorch/pretrainedmodels/models/xception.py at master · Cadene/pretrained-models.pytorch
git clone https://github.com/Cadene/pretrained-models.pytorch.git cd pretrained-models.pytorch python setup.py installQuick examplesTo import pretrainedmodels: import pretrainedmodelsTo print the available pretrained models: print(pretrainedmodels.model_names) > ['fbresnet152', 'bninception', '...
PyTorch>=0.4.1 Examples git clone https://github.com/gasvn/Res2Net.git from res2net import res2net50 model = res2net50(pretrained=True) Input image should be normalized as follows: normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ...