from torch.hub import load_state_dict_from_url except ImportError: from torch.utils.model_zoo import load_url as load_state_dict_from_url import torch 通道注意力机制 class ChannelAttention(nn.Module): def __init__(self, in_planes, ratio=16): super(ChannelAttention, self).__init__() se...
map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) progress (bool, optional): whether or not to display a progress bar to stderr Example: >>> state_dict = torch.hub.load_state_dict_from_url('https://s3.amazonaws.com/pytorch/models...
import torch.nn as nn from torchvision import models import torchvision.transforms as transforms from torch.hub import load_state_dict_from_url from PIL import Image import cv2 import numpy as np from matplotlib import pyplot as plt class FullyConvolutionalResnet18(models.ResNet): def __init__(...
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,只需修改load_state_dict_from_url()方法中的model_dir即可~~ 1.Resnet:model_urls={'resnet18':'htt...
import torch import torch.nn as nn from torchvision.models.utils import load_state_dict_from_url from torch.cuda.amp import autocast from typing import Any __all__ = ['AlexNet', 'alexnet'] model_urls = { 'alexnet': 'https://download.pytorch.org/models/alexnet-owt-4df8aa71.pth', }...
import torch.nn as nn import math try: from torch.hub import load_state_dict_from_url except ImportError: from torch.utils.model_zoo import load_url as load_state_dict_from_url import torch 通道注意力机制 class ChannelAttention(nn.Module): def __init__(self, in_planes, ratio=16): supe...
load_state_dict_from_url函数最终调用torch.utils.model_zoo.load_url函数 其中的参数model_dir就是保存的目录,这里它默认会使用环境变量TORCH_HOME 默认情况下环境变量TORCH_HOME的值为~/.cache 在windows下就是%USERPROFILE%\.cache,其中%USERPROFILE%表示环境变量%USERPROFILE%的值,它对应Linux的~。
from torch.hubimportload_state_dict_from_urlfromPILimportImageimportcv2importnumpyasnp from matplotlibimportpyplotaspltclassFullyConvolutionalResnet18(models.ResNet):def__init__(self,num_classes=1000,pretrained=False,**kwargs):# Startwithstandard resnet18 defined heresuper().__init__(block=models...
二、不同层数ResNet模型的导入 all 变量定义了可以从外部 import 的函数名或类名。根据 model_urls 的地址可以加载网络与训练权重 import torch import torch.nnasnn from .utils import load_state_dict_from_url # 实现了不同层数的ResNet模型 __all__ = ['ResNet','resnet18','resnet34','resnet50...
Loaded state_dictfrom[./models/control_sd15_canny.pth]RunningonlocalURL: http://0.0.0.0:7860Tocreatea public link,set`share=True`in`launch()`. 此时,在本地系统的7860端口上会运行ControlNet的Web客户端服务。 访问http://localhost:7860,就可以直接上传图片进行训练了。