MATLAB绘制caffe训练日志曲线

function plot_log(logName)
fid = fopen(logName, 'r');
test_loss = fopen('test_loss.txt', 'w');
train_loss = fopen('train_loss.txt', 'w');
train_lr = fopen('train_lr.txt','w');
tline = fgetl(fid);
while ischar(tline)
k = strfind(tline, 'Iteration');
% it's a valid log
if ~isempty(k)
iter_start = k+10;
iter_end = strfind(tline(k:end),',');
iter = tline(iter_start:iter_end+k-2);
%store test_loss
lr_k = strfind(tline, 'lr');
if ~isempty(lr_k)
lr_tart = lr_k + 5;
lr = tline(lr_tart : end);
fprintf(train_lr, '%s\t%s\n', iter,lr);
end
%store train_loss
train_k = strfind(tline, 'loss');
if ~isempty(train_k)
train_tart = train_k + 7;
loss_train = tline(train_tart : end);
fprintf(train_loss, '%s\t%s\n', iter,loss_train);
end
%store test_loss
test_k = strfind(tline, 'Testing');
if ~isempty(test_k) %
tline = fgetl(fid);
flag = 1;
while(ischar(tline) && flag)
test_k = strfind(tline, 'loss');
if ~isempty(test_k)
flag = 0;
test_start = test_k + 7;
test_end = strfind(tline(test_start:end),'(')-3;
loss_test = tline(test_start : test_end+test_start);
fprintf(test_loss, '%s\t%s\n', iter,loss_test);
end
tline = fgetl(fid);
end
end
end
tline = fgetl(fid);
end
fclose(fid);
fclose(test_loss);
fclose(train_loss);
fclose(train_lr);
%plot

train_loss=importdata('train_loss.txt');
if(~isempty(train_loss))
figure(1)
plot(train_loss(:,1),train_loss(:,2));
title('train_loss vs. Iterations')
end

test_loss=importdata('test_loss.txt');
if(~isempty(test_loss))
figure(2)
plot(test_loss(:,1),test_loss(:,2));
title('test_loss vs. Iterations')
end

train_lr=importdata('train_lr.txt');
if(~isempty(train_lr))
figure(3)
plot(train_lr(:,1),train_lr(:,2));
title('train_lr vs. Iterations')
end