1. 首先是提取 训练日志文件;
2. 然后是matlab代码：
clear all; close all; clc;
log_file = '/home/wangxiao/Downloads/43_attribute_baseline.log';
fid = fopen(log_file, 'r');
fid_accuracy = fopen('/home/wangxiao/Downloads/output_accuracy.txt', 'w');
fid_loss = fopen('/home/wangxiao/Downloads/output_loss.txt', 'w');
iteration ={};
loss = {};
accuracy = {};
path = '/home/wangxiao/Downloads/';
fid_ = fopen([path, 'loss_file_.txt'], 'a');
while(~feof(fid))
tline = fgetl(fid);
%%
if strfind(tline, 'sgd_solver.cpp:')
iter_index = strfind(tline, 'Iteration ');
rest = tline((iter_index+9):end);
iter_current = strtok(rest, ','); % iteration number;
iteration = [iteration iter_current]; % count the iteration;
lr_index = strfind(tline, 'lr = ');
lr_current = tline((lr_index+4):end); % learning rate;
end
%%
if strfind(tline, 'solver.cpp:228]')
iter_index = strfind(tline, 'loss = ');
loss_current = tline((iter_index+7):end);
fprintf(fid_, '%s \n', loss_current );
loss = [loss loss_current] ; % count the iteration;
end
if strfind(tline, 'aver_accuracy: ')
aver_accuracy_index = strfind(tline, 'aver_accuracy: ');
aver_accuracy_current = tline((aver_accuracy_index+15):end);
accuracy = [accuracy aver_accuracy_current];
end
end
loss_file_Path = importdata('/home/wangxiao/Downloads/loss_file_.txt');
plot(loss_file_Path)
3. 结果展示：
