walden的博客

1.encoder import torch.nn as nn import numpy as np import torch.nn.functional as F from models.networks.base_network import BaseNetwork from models.networks.normalization import get_nonspade_norm_la...

1.数据集的准备 # Train or evaluate if args.command == "train": # Training dataset. Use the training set and 35K from the # validation set, as as in the Mask RCNN paper. dat...

参考网址： 1.https://github.com/lxx1991/VS-ReID 2.https://github.com/lmb-freiburg/flownet2 3.http://vision.middlebury.edu/flow/submit/ 4.https://blog.youkuaiyun.com/zouxy09/article/details/868385...

input=torch.randn(20,16,10,50,100)#N,C,D,H,W 1. m = nn.Conv3d(16, 33, 1, stride=1, padding=(3, 2, 1)) output=m(input) output.size() torch.Size([20, 16, 10, 50, 100]) 结论：padding分别先从D,H,W分别对称增加维度，...

input = Variable(data) # Get the features features = feature_extractor(input) # Compute first loss and get the gradients for it loss1 = task1(features) loss1.backward(retain_graph=True) # This add t...

import matplotlib import torch x = torch.FloatTensor([1,1,1,1,1,2,2,2,2,2,2,3,3,3,3,3,3,3,3,1,1,1,1,1,0,0,1,1,1,1]) #x = torch.FloatTensor([1,1,1,1,1,20,20,20,20,20,20,3,3,3,3,3,3,3,3,1,1,1,1,1,0,0,...

a = torch.randn(1,1,3,1) a.expand(2,1,3,1) a.expand(1,2,3,1) a.expand(1,1,6,1)#runtimerror a.expand(1,1,3,2) a.expand(1,1,3,1)#a.expand(1,1,3,1) == a b = torch.randn(1,1,2,2) b.repeat(1,1,1,1)#b.r...

import torch import torch.nn.functional as F from torch.autograd import Variable x = Variable(torch.Tensor([[1.0,2.0,3.0], [1.0,2.0,3.0]])) y = Variable(torch.LongTensor([1, 2])) w = torch.Tensor([1...

1.RuntimeError: freeze_support()参考：https://github.com/pytorch/pytorch/issues/5858加上：if __name__ == '__main__':2.log_p = F.log_softmax(input, dim=1)pytorch的0.2版本不需要加维度，而>=0.3必须要加上维度3.UserWarning: in...

目录结构： 1.准备数据 2.创建网络 3.训练 3.1为训练做准备 3.2训练网络 3.3画loss损失率 4.检验网络 3.1为训练做准备 EOS是 3.2训练网络 all_letters = string.ascii_letters + " .,;'-" n_letters = len(all_letters) + 1 # Plus EOS marker cr