[Ubuntu] PyLearn2 Install

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sudo apt-get install python-matplotlib python-numpy python-scipy python-dev python-pip python-nose g++ libopenblas-dev git 
 
sudo pip install Theano 
 
sudo pip install --upgrade Theano 
 
python -c "import theano; theano.test(verbose=2)"

sudo pip install pyyaml pil 
 
git clone git://github.com/lisa-lab/pylearn2.git 
 
sudo python setup.py develop --prefix /usr/local/lib/python2.7/dist-packages/ 
 
export PYLEARN2_DATA_PATH=~/data 
 
cd ~/data/cifar10

wget http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz 
 
tar zxvf cifar-10-python.tar.gz

cd $PYLEARN2_HOME/pylearn2/scripts/tutorials/grbm_smd/ 
 
python make_dataset.py 
 
python ../../train.py cifar_grbm_smd.yaml 
 
export PYLEARN2_VIEWER_COMMAND="eog --new-instance" 
 
python ../../show_weights.py cifar_grbm_smd.pkl 
 
python ../../plot_monitor.py cifar_grbm_smd.pkl

/pylearn2/gui/get_weights_report.py 
 
if dataset is None:
        logger.info('loading dataset...')
        control.push_load_data(False)
        dataset_filename = yaml_parse.load(model.dataset_yaml_src)
        dataset = serial.load(dataset_filename)
        control.pop_load_data()
        logger.info('...done')

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파이썬으로 Homomorphic Filtering 하기

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import cv2 # For OpenCV modules (For Image I/O and Contour Finding) import numpy as np # For general purpose array manipulation import scipy . fftpack # For FFT2 #### imclearborder definition def imclearborder ( imgBW , radius ): # Given a black and white image, first find all of its contours imgBWcopy = imgBW . copy () contours , hierarchy = cv2 . findContours ( imgBWcopy . copy (), cv2 . RETR_LIST , cv2 . CHAIN_APPROX_SIMPLE ) # Get dimensions of image imgRows = imgBW . shape [ 0 ] imgCols = imgBW . shape [ 1 ] contourList = [] # ID list of contours that touch the border # For each contour... for idx in np . arange ( len ( contours )): # Get the i'th contour cnt = contours [ idx ] # Look at each point in the contour for pt in cnt : rowCnt = pt [ 0 ][ 1 ] colCnt = pt [ 0 ][ 0 ] # If this is within the radius of th...
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파이썬으로 2D FFT/iFFT 하기: numpy 버전

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import cv2 import numpy as np from matplotlib import pyplot as plt img = cv2 . imread ( 'messi5.jpg' , 0 ) f = np . fft . fft2 ( img ) fshift = np . fft . fftshift ( f ) magnitude_spectrum = 20 * np . log ( np . abs ( fshift )) plt . subplot ( 121 ), plt . imshow ( img , cmap = 'gray' ) plt . title ( 'Input Image' ), plt . xticks ([]), plt . yticks ([]) plt . subplot ( 122 ), plt . imshow ( magnitude_spectrum , cmap = 'gray' ) plt . title ( 'Magnitude Spectrum' ), plt . xticks ([]), plt . yticks ([]) plt . show () rows , cols = img . shape crow , ccol = rows / 2 , cols / 2 fshift [ crow - 30 : crow + 30 , ccol - 30 : ccol + 30 ] = 0 f_ishift = np . fft . ifftshift ( fshift ) img_back = np . fft . ifft2 ( f_ishift ) img_back = np . abs ( img_back ) plt . subplot ( 131 ), plt . imshow ( img , cmap = 'gray' ) plt . title ( 'Input Image' ), plt . xticks ([]), ...
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