examples/data/train/
	- 0
	- 1
	  .
	  .
	  .
	- n
examples/data/test/
	- 0
	- 1
	  .
	  .
	  .
	- n

cd examples && python train.py

cd examples && python transform_model.py

cd makefile/pytorch
mkdir build && cd build && cmake -A x64 ..
or
mkdir build && cd build && cmake -G "Visual Studio 15 2017 Win64" ..
set Command Arguments -> ..\..\..\examples\checkpoint ..\..\..\examples\images
set Environment -> path=%path%;../../../thirdparty/libtorch/lib;../../../thirdparty/opencv/build/x64/vc15/bin;

cd makefile/cuda
mkdir build && cd build && cmake -A x64 ..
or
mkdir build && cd build && cmake -G "Visual Studio 15 2017 Win64" ..

cd makefile/tensorRT/classification
mkdir build && cd build && cmake -A x64 ..
or
mkdir build && cd build && cmake -G "Visual Studio 15 2017 Win64" ..
set Environment -> path=%path%;../../../../thirdparty/TensorRT/lib;

cd makefile/tensorRT/detection
mkdir build && cd build && cmake -A x64 ..
or
mkdir build && cd build && cmake -G "Visual Studio 15 2017 Win64" ..
set Environment -> path=%path%;../../../../thirdparty/TensorRT/lib;

thirdparty/
	- libtorch  
	- opencv 
	- CUDA
	- TensorRT

docker pull zccyman/deepframe
nvidia-docker run -it --name=mydocker zccyman/deepframe /bin/bash
cd workspace && git clone https://github.com/zccyman/pytorch-inference.git