如何在caffe中制作train.txt文件 [英] how to make train.txt file in caffe
问题描述
我正在将caffe net与python一起使用.我有这样的train.txt文件:
I am using caffe net with python. I have train.txt file like this:
train/1175-c/b0a1.bmp b0a1
train/1175-c/b0a2.bmp b0a2
train/1175-c/b0a3.bmp b0a3
train/1175-c/b0a4.bmp b0a4
train/1175-c/b0a5.bmp b0a5
train/1175-c/b0a6.bmp b0a6
train/1175-c/b0a7.bmp b0a7
train/1175-c/b0a8.bmp b0a8
train/1175-c/b0a9.bmp b0a9
train/1175-c/b0aa.bmp b0aa
我的问题:
-
我可以在每行末尾使用十六进制代替int吗?
Can I use hex instead of int at the end of each line?
关于标签,它是否需要从0开始
About the label, does it need to start from 0
或者我应该将以上内容更改为:
Or Should I change the above to:
train/1175-c/b0a1.bmp 45217
train/1175-c/b0a2.bmp 45218
train/1175-c/b0a3.bmp 45219
train/1175-c/b0a4.bmp 45220
train/1175-c/b0a5.bmp 45221
train/1175-c/b0a6.bmp 45222
train/1175-c/b0a7.bmp 45223
train/1175-c/b0a8.bmp 45224
train/1175-c/b0a9.bmp 45225
train/1175-c/b0aa.bmp 45226
推荐答案
如果您使用此 train.txt
列表作为 " ImageData"
层,然后每行的第二部分必须>成为数字标签.
标签必须以0开头,因为它们在计算损失和准确性时用作预测的概率向量的索引.有关更多信息,请参见此线程.
If you are using this train.txt
list as input for convert_imageset
or as source
for "ImageData"
layer then the second part of each line must be a numeric label.
The labels must start with 0 since they are used as indices into the predicted probability vectors when computing loss and accuracy. See this thread for more information.
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