vgg16_bn-6c64b313.pth 人工智能 - 深度学习Ed**离殇 上传490.26 MB 文件格式 zip bn 点赞(0) 踩踩(0) 反馈 所需:15 积分 电信网络下载 com.pingan.lifecircle_2.41.1.apk 2025-02-28 04:10:26 积分:1 python中文数字对照表.md 2025-02-28 01:37:10 积分:1 ...
# Pytorch 0.4.0 VGG16实现cifar10分类. # @Time: 2018/6/23 # @Author: xfLi import torch import torch.nn as nn import math import torchvision.transforms as transforms import torchvision as tv from torch.utils.data import DataLoader model_path = './model_pth/vgg16_bn-6c64b313.pth' BATCH...
pre = torch.load('./pretrain/vgg16_bn-6c64b313.pth') for key, v in pre.items(): print(key, v.size()) 1. 2. 3. 加載得到的是VGG網絡參數,可以將其輸出查看,這裏只顯示其size features.0.weight torch.Size([64, 3, 3, 3]) features.0.bias torch.Size([64]) features.1.weight ...
bn: https://download.pytorch.or /models/v 11_ bn-6002323d.pth, v 13_ bn: https://download.pytorch.or /models/v 13_ bn-abd245e5.pth, v 16_ bn: https://download.pytorch.or /models/v 16_ bn-6c64b313.pth, v 19_ bn: https://download.pytorch.or /models/v 19_ bn-c79401a...
这是因为应该使用的结构是vgg16_bn的结构,否则就没有bn层,改模型为https://download.pytorch.org/models/vgg16_bn-6c64b313.pth 又报错: Traceback (most recent call last): File"./run/vgg16/vgg16_prune_demo.py", line137,in <module>run() ...
So after we download the vgg16-397923af.pth file into "checkpoints" folder , and we dont need to make the "python misc/convert_caffe_pretrain.py"in our shell , and we should directly to the "python train.py train --env='fasterrcnn-caffe' --plot-every=100 --caffe-pretrain“ !
更新了BN层加入了SE注意力机制模块,对原有swich非线性激活函数修改为h-swich函数。 MobileV3-small模型 二、MobileNetV3-small的实现 利用VOC-devkit2012数据集中有关垃圾的数据集作为数据集,训练MobileNetV3-small模型,下面代码来自于pytorch官网,博主对代码进行标注。