cnn-forward

Using the CNN trained by Torch7 to classify images in: 1). C++ with the support of OpenCV; 2). Matlab.

#Dependency

OpenCV is required to read the images.
Torch7 is required to convert the cnn result(eg. gstrb.net) to txt file.
Matlab is required run the Maltab version of the code.

#How to run the program The porgram is writted and test in Debian GNU/Linux, it is easy to run in other system

#for c++
cd forward-cnn
cmake .
make
./run

#for matlab
cd forward-cnn
run('cnnRun.m')

#The structure of the cnn in torch

model:add(nn.SpatialConvolutionMM(1, 16, 5, 5))
model:add(nn.Tanh())
model:add(nn.SpatialLPPooling(16,2, 2, 2, 2, 2))

model:add(nn.SpatialConvolutionMM(16, 32, 5, 5))
model:add(nn.Tanh())
model:add(nn.SpatialLPPooling(32,2,2, 2, 2, 2))

model:add(nn.Reshape(32*5*5))
model:add(nn.Linear(32*5*5, 256))
model:add(nn.Tanh())
model:add(nn.Linear(256, 43))

#About the files

./data/torch-net-to-txt.lua is used to convert the weight and bias in gtsrb.net to txt file.
./data/png:some png images are here for testing
./data/gtsrb.net is trained by Torch7
cnn.cpp cnn.h: forward cnn class written in c++
run.cpp: test program
*.m: matlab file