'alexnet': 'https://download.pytorch.org/models/alexnet-owt-4df8aa71.pth', } vggnet: model_urls = { 'vgg11': 'https://download.pytorch.org/models/vgg11-bbd30ac9.pth', 'vgg13': 'https://download.pytorch.org/models/vgg13-c768596a.pth', 'vgg16': 'https://download.pytorch.org...
'vgg11':'https://download.pytorch.org/models/vgg11-bbd30ac9.pth', 'vgg13':'https://download.pytorch.org/models/vgg13-c768596a.pth', 'vgg16':'https://download.pytorch.org/models/vgg16-397923af.pth', 'vgg19':'https://download.pytorch.org/models/vgg19-dcbb9e9d.pth', 'vgg11_bn...
pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ return_vgg('vgg13','B',False, pretrained, progress, **kwargs) defvgg13_bn(pretrained=False, progress=True, **kwargs): r"""VGG 13...
model_pretrained.py:现有网络模型的使用和修改,以pytorch官网中用于分类的vgg16模型为例,其是在ImageNet数据集(1000个class)上进行预训练。但实操中由于ImageNet数据集过大,有100G,故而未下载到本地。只是利用加载模型参数的不同在debug中观察vgg16在数据集上训练前后参数的不同。同时以将vgg16模型应用到CIFAR-10...
'std': stds[model_name], 'num_classes': 1000 } } # for model_name in ['vgg16', 'vgg19']: # pretrained_settings[model_name]['imagenet_caffe'] = { # 'url': model_urls[model_name + '_caffe'], # 'input_space': 'BGR', # 'input_size': input_sizes[model_name], # 'i...
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc. - pretrained-models.pytorch/pretrainedmodels/models/vggm.py at master · Cadene/pretrained-models.pytorch
pretrained=True) # model = torch.hub.load('pytorch/vision:v0.6.0', 'vgg13_bn', pretrained=True) # model = torch.hub.load('pytorch/vision:v0.6.0', 'vgg16', pretrained=True) # model = torch.hub.load('pytorch/vision:v0.6.0', 'vgg16_bn', pretrained=True) # model = torch.hub....
下面以VGG16为例将讲解如何使用以及更改现有模型: pretrained为True,返回在ImageNet上预训练过的模型;pregress为True在下载模型时会通过标准错误流输出进度条。 创建如下脚本并运行: fromtorchvisionimportmodels# 创建预训练过的模型,并输出进度vgg16_pretrained=models.vgg16(pretrained=True,progress=True)# 创建没训练...
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...
torchvision.models.vgg16(pretrained=True) 实际上是调用了torch.utils.model_zoo中的load_url()函数, load_url()调用了torch.hub中的load_state_dict_from_url(url, model_dir=None, map_location=None, progress=True, check_hash=False) 如果需要修改模型下载的默认路径(.cache/torch)到自定义目录的话,只...