import numpy
import scipy.io.wavfile
import bob.io.base
from bob.bio.base.preprocessor import Preprocessor
class Base (Preprocessor):
"""Performs color space adaptations and data type corrections for the given image"""
def __init__(self, **kwargs):
Preprocessor.__init__(self, **kwargs)
# Each class needs to have a constructor taking
# all the parameters that are required for the preprocessing as arguments
self._kwargs = kwargs
pass
[docs] def write_data(self, data, data_file, compression=0):
"""Writes the given *preprocessed* data to a file with the given name.
"""
f = bob.io.base.HDF5File(data_file, 'w')
f.set("rate", data[0], compression=compression)
f.set("data", data[1], compression=compression)
f.set("labels", data[2], compression=compression)
[docs] def read_data(self, data_file):
f= bob.io.base.HDF5File(data_file)
rate = f.read("rate")
data = f.read("data")
labels = f.read("labels")
return rate, data, labels