How to create "mean file" and "synset_words.txt" for Fine-Tuning data?

[hamlet11ito]

I'm a bigginer Caffe user. I've learned about the power of Fine-tuning. In fact, I followed the Training instruction for the "Flickr Style" case. Now, after training, Im ready to test the prediction.

But,I can not find 2 files(out of 4) needed to run classification.bin:
Flick-style counter parts/files of "imagenet_mean.binaryproto" and
"synset_words.txt".

Model files are ok - there is Flickr-style's "deploy.prototxt", and I can use the caffe midel file "bvlc_reference_caffenet.caffemodel" since this fine-tuning is on the architecture of imafenet/ildvrc2012.

I really appreciare your help for the 2files, and feedbacks to my statenent.
Thks in adcabce!

[Wei Liu]

In this example, 

You will first need to prepare some auxiliary data for training. This data can be downloaded by:

./data/ilsvrc12/get_ilsvrc_aux.sh

The training and validation input are described in train.txt and val.txt as text listing all the files and their labels. Note that we use a different indexing for labels than the ILSVRC devkit: we sort the synset names in their ASCII order, and then label them from 0 to 999. See synset_words.txt for the synset/name mapping.