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dataInterface.py
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dataInterface.py
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from time import gmtime, strftime
import matplotlib.pyplot as plt
import os
from configparser import ConfigParser
from function.labelFunction import *
from function.errorFunction import *
from function.activationFunction import *
class DataInterface:
def __init__(self, name='Mnist'):
"""
Class for data interface
:param name: Name of the folder used to save the data
"""
self._name = "ReleveExp/" + name
def rename(self, name):
self._name = "ReleveExp/" + name
def save(self, data, data_name, data_param='dictionnary of parameters'):
"""
Save numpy array data into the folder self._name. Filename is
name\YYYY-MM-DD-HHmmSS_data_name.csv
:param data: Data to save
:param data_name: Description of the data (error, weights matrix, ...)
:param data_param: Parameters of network and run of the dataset
:return: None
"""
save_date = strftime('%Y-%m-%d-%H%M%S', gmtime())
# create directory if it doesn't exist
if not os.path.exists(self._name):
os.makedirs(self._name)
return np.savetxt(self._name + '/' + save_date + '_' + data_name + '.csv', data,
delimiter=",", header=data_param)
@staticmethod
def save_param(data_param):
"""
Transform an np.array into a string to save params
:param data_param: An array of params
:return: A string of params
"""
return np.array_str(data_param).split('[')[1].split(']')[0]
def load(self, filename):
"""
Load data from a file
:param filename: File containing the data
:return: An np.array with parameters of acquisition and a dataset
"""
params = self.load_param(filename)
data = np.loadtxt(self._name + '/' + filename, delimiter=',')
return params, data
def load_old(self, filename):
"""
Load data from a file (deprecated)
:param filename: File containing the data
:return: Two np.array with parameters of acquisition and a dataset
"""
param1, param2 = self.load_param_old(filename)
data = np.loadtxt(self._name + '/' + filename, delimiter=',')
return param1, param2, data
def load_param_old(self, filename):
"""
Read the parameters line of csv file (deprecated)
:param filename: The file to read
:return: Two np.array of parameters
"""
file = open(self._name + '/' + filename)
first = file.readline()
second = file.readline()
lines = file.readlines()
last = lines[len(lines) - 1]
param_first = first.split('# ')[1].split('\n')[0] + second.split('# ')[1].split('\n')[0]
param_last = last.split('# ')[1].split('\n')[0]
params1 = param_first.split(' ')
params2 = (param_last.split('+')[-1].split('Network(')[-1].split('], '))
params2[0] = eval(params2[0] + ']')
params2[1] = eval(params2[1])
params1 = list(filter(None, params1))
for i in range(len(params1)):
params1[i] = eval(params1[i])
return params1, params2
def load_param(self, filename):
"""
Read the parameters from a file
:param filename: The file to read
:return: A dictionary of parameters
"""
file = open(self._name + '/' + filename)
first = file.readline()
param_str = first.split('# ')[1].split('\n')[0]
params = eval(param_str)
param_dict = {}
for opt in params:
param_dict[opt] = eval(params[opt])
return param_dict
@staticmethod
def read_conf(filename='config.ini', param='Mnist'):
cfg = ConfigParser()
cfg.read(filename)
options = cfg.options(param)
param_dict = {}
for opt in options:
param_dict[opt] = eval(cfg[param][opt])
return param_dict
@staticmethod
def save_conf(filename='config.ini', param='Mnist'):
cfg = ConfigParser()
cfg.read(filename)
options = cfg.options(param)
param_dict_str = {}
for opt in options:
param_dict_str[opt] = cfg[param][opt]
return str(param_dict_str)
@staticmethod
def load_conf(param_dict):
for key in param_dict.keys():
param_dict[key] = eval(param_dict[key])
return param_dict
def save_img_black(self, image, img_name, x_size=28, y_size=28):
save_date = strftime('%Y-%m-%d-%H%M%S', gmtime())
# create directory if it doesn't exist
if not os.path.exists(self._name + '/Images'):
os.makedirs(self._name + '/Images')
image = np.reshape(image, [x_size, y_size])
plt.imshow(image, cmap='Greys', interpolation='nearest')
# sauvegarde de l'image
plt.savefig(self._name + '/Images/' + save_date + '_imagede_' + img_name + '.png')
@staticmethod
def extract_param(param_liste, i):
param = dict()
for key, value in param_liste.items():
n = len(value)
if i < n:
param[key] = value[i]
else:
param[key] = value[-1]
return param