PI-CNN

This program is a C++ toolbox for extracting CNN feature map from image. For achieving high-performance computation, it support CUDA acceleration. The average computation of 3 layers feature maps of a 640x480 image is 20 ms. You can easly integrated the code to you program. The core functions are extracted from matconvnet (http://www.vlfeat.org/matconvnet/).

The source code can be downloaded at: https://github.com/bushuhui/pi-cnn

Requirements:

• OpenCV 2.4.9 (or above)
• OpenBLAS (include in the package at ./Thirdparty/OpenBLAS)
• gfortran (sudo apt-get install gfortran)
• CUDA 5.0 (or above)
• PIL (included in the code at ./Thirdparty/PIL)

Compile:

1. build OpenBLAS

cd ./Thirdparty/OpenBLAS
tar xzf OpenBLAS-0.2.14.tar.gz
make 
sudo make install

2. build PIL

cd ./Thirdparty/PIL
make

3. build pi-cnn

cd cnn_models/
wget http://www.adv-ci.com/download/pi-cnn/imagenet-vgg-f.cm 
cd ..
make

Usage

# GPU calculation
./test_CNN useGPU=1
# CPU calculation
./test_CNN useGPU=0
# show feature maps
./test_CNN act=showFeatureMap
# match feature points
./test_CNN act=matchWholeImage

Plateform:

Only test on LinuxMint 17.1 64-bit, may be other distributions are also support.

Screenshot: