importtorchvision.models as models resnet18= models.resnet18(pretrained=True) alexnet= models.alexnet(pretrained=True) vgg16= models.vgg16(pretrained=True) squeezenet= models.squeezenet1_0(pretrained=True) densenet= models.densenet161(pretrained=True) inception= models.inception_v3(pretrained=True) go...
import torchvision.models as models resnet18 = models.resnet18(pretrained=True) alexnet = models.alexnet(pretrained=True) vgg16 = models.vgg16(pretrained=True) squeezenet = models.squeezenet1_0(pretrained=True) densenet = models.densenet161(pretrained=True) inception = models.inception_v3(pretrained...
具体代码可以参考github:https://github.com/pytorch/vision/tree/master/torchvision。 这篇博客介绍torchvision.models。torchvision.models这个包中包含alexnet、densenet、inception、resnet、squeezenet、vgg等常用的网络结构,并且提供了预训练模型,可以通过简单调用来读取网络结构和预训练模型。 使用例子: 代码语言:javascrip...
Datasets, Transforms and Models specific to Computer Vision - vision/torchvision/models at main · pytorch/vision
PyTorch框架中有一个非常重要且好用的包:torchvision,该包主要由3个子包组成,分别是:torchvision.datasets、torchvision.models、torchvision.transforms。这3个子包的具体介绍可以参考官网:http://pytorch.org/docs/master/torchvision/index.html。具体代码可以参考github:https://github.com/pytorch/vision/tree/master/to...
Datasets, Transforms and Models specific to Computer Vision - vision/torchvision/models/segmentation/deeplabv3.py at main · pytorch/vision
PyTorch框架中torchvision模块下有:torchvision.datasets、torchvision.models、torchvision.transforms这3个子包。 关于详情请参考官网: http://pytorch.org/docs/master/torchvision/index.html。 具体代码可以参考github: https://github.com/pytorch/vision/tree/master/torchvision。
关于PyTorch源码解读之torchvision.models 关于PyTorch源码解读之torchvision.models PyTorch框架中有⼀个⾮常重要且好⽤的包：torchvision，该包主要由3个⼦包组成，分别是：torchvision.datasets、torchvision.models、torchvision.transforms。这3个⼦包的具体介绍可以参考官⽹：具体代码可以参考github：这篇博客介绍...
defget_model_instance_segmentation(num_classes):# 加载在coco上预训练的预训练实例分割模型model=torchvision.models.detection.maskrcnn_resnet50_fpn(pretrained=True)# 获取分类器的输入特征数in_features=model.roi_heads.box_predictor.cls_score.in_features# 用新的头部替换预训练好的头部model.roi_heads.box...
import torchvisionmodel = torchvision.models.detection.maskrcnn_resnet50_fpn(pretrained=True)# set it to evaluation mode, as the model behaves differently# during training and during evaluationmodel.eval()image = PIL.Image.open('/path/to/an/image.jpg')image_tensor = torchvision.transforms....