prim_dl
├── data
│ ├── data_stanford
│ │ ├── images
│ │ └── labels
│ └── test
└── scripts
- data, data forlder, ignored by git. We train the model by the backgroud dataset from Stanford Lab. Also there are data below test for debug
- scripts, contain the relative fonctions
I write this instruction under ubuntu 14.04
- Install Anaconda from https://www.continuum.io/downloads
- Install Theano from http://deeplearning.net/software/theano/install.html#anaconda
- Install TensorFlow from https://www.tensorflow.org/versions/r0.8/get_started/os_setup.html
- Install OpenCV from https://anaconda.org/search?q=opencv
- Install C++ by sudo apt-get install build-essential
- Install imagemagick for PIL by sudo apt-get install imagemagick
file_system.py
- Create new folder
- Delete the folder with subfolder
image_proc.py
- Open and convert the image to a special type
- Show the image
- Get the laplacien pyramid
- Lecun local contrast normalization
cnn
- To be done ...
segmentation
- To be done ...