default_param.py

{
# Image
'N_X' : 256, # size of images
'N_Y' : 256, # size of images
'do_mask'  : True, # used for instance in the Matching Pursuit algorithm self.pe.do_mask
'mask_exponent': 3., #sharpness of the mask
'use_cache' : True,
'verbose': 0,
'figpath': 'results',
'matpath': 'cache_dir',
'datapath': 'database',
'figsize': 14.,
'formats': ['pdf', 'png', 'jpg'],
'dpi': 450,
'seed': None, # a seed for the Random Number Generator (RNG) for picking images in databases, set to None or a given number to freeze the RNG
'N_image': None, # number of images to pick in a database, set to None if you want to pick all in the database
# whitening parameters:
'white_name_database' : 'kodakdb',
'white_n_learning' : 0,
'white_N' : .07,
'white_f_0' : .38, # olshausen = 0.2
'white_alpha' : 1.4,
'white_steepness' : 4.,
'white_recompute' : False,
}