How to run Deep Learnnig open source

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Dec 13, 2017, 3:43:10 AM12/13/17
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Hi.

I'm a beginner of deep learning.
I recently read deep learning paper(efficient deep learning for stereo matching).
But I'm having trouble running the open source in the paper.
Open source seems to use torch and lua.
When I read Readme.md, I'm having difficulties starting from ##pretrained model.


## Using pretrained model
1. We include pretrained model of KITTI2015 and KITTI2012 in **pretrain**. To use pretrained model of KITTI2015(similar for KITTI2012), run:

    `th inference_match_subimg.lua -g 0 --model split_win37_dep9 --data_version kitti2015 --data_root pretrain/kitti2015/sample_img --model_param pretrain/kitti2015/param.t7 --bn_meanstd pretrain/kitti2015/bn_meanstd.t7 --saveDir outImg --start_id 1 --n 1`
2. Results of unary images will be save in **outImg**


## Training


It seems to use torch7, but I dont know what to do.
Unutu, Cuda, Python, Torch, etc. I've been struggling with trying to check and turn around the code after more than a week.
Please help me.

Thank you.

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