def __init__(self, nist_path, label_path, ocr_path, ocrlabel_path):
self.train_data = open(nist_path, 'rb')
self.train_labels = open(label_path, 'rb')
self.dim = tuple(ft._read_header(self.train_data)[3])
# in order to seek to the beginning of the file
self.train_data.close()
self.train_data = open(nist_path, 'rb')
self.ocr_data = open(ocr_path, 'rb')
self.ocr_labels = open(ocrlabel_path, 'rb')
def reload(output_file_path, params_output_file_path):
images_ft = open(output_file_path, 'rb')
images_ft_dim = tuple(ft._read_header(images_ft)[3])
print "Images dimensions: ", images_ft_dim
params = numpy.load(params_output_file_path)
print "Params dimensions: ", params.shape
print params