How to use the pvl._collections.PVLObject function in pvl

def _load_info_lbl(image):
        """ Load info on the image
        Note:
            If the image is from LOLA, the .LBL is parsed and the
            information is returned.
            If the image is from NAC, the .IMG file is parsed using
            the library `pvl`_ which provide nice method to extract
            the information in the header of the image.
        .. _pvl: http://pvl.readthedocs.org/en/latest/
        """
        label = load_label(image.img)
        for key, val in label.iteritems():
            if type(val) == pvl._collections.PVLObject:
                for key, value in val.iteritems():
                    try:
                        setattr(image, key, value.value)
                    except:
                        setattr(image, key, value)
            else:
                setattr(image, key, val)
        image.start_byte = image.RECORD_BYTES
        image.bytesize = 4
        image.projection = str(label['IMAGE_MAP_PROJECTION'][
                                  'MAP_PROJECTION_TYPE'])
        image.dtype = np.float32

def _load_info_lbl(self):
        """ Load info on the image
        Note:
            If the image is from LOLA, the .LBL is parsed and the
            information is returned.
            If the image is from NAC, the .IMG file is parsed using
            the library `pvl`_ which provide nice method to extract
            the information in the header of the image.
        .. _pvl: http://pvl.readthedocs.org/en/latest/
        """

        if self.grid == 'WAC':
            label = load_label(self.img)
            for key, val in label.iteritems():
                if type(val) == pvl._collections.PVLObject:
                    for key, value in val.iteritems():
                        try:
                            setattr(self, key, value.value)
                        except:
                            setattr(self, key, value)
                else:
                    setattr(self, key, val)
            self.start_byte = self.RECORD_BYTES
            self.bytesize = 4
            self.projection = str(label['IMAGE_MAP_PROJECTION'][
                                      'MAP_PROJECTION_TYPE'])
            self.dtype = np.float32
        elif self.grid == 'NAC':
            label = load_label(self.img)
            for key, val in label.iteritems():
                if type(val) == pvl._collections.PVLObject:

def _load_info_lbl(image):
        """ Load info on the image
        Note:
            If the image is from LOLA, the .LBL is parsed and the
            information is returned.
            If the image is from NAC, the .IMG file is parsed using
            the library `pvl`_ which provide nice method to extract
            the information in the header of the image.
        .. _pvl: http://pvl.readthedocs.org/en/latest/
        """
        label = load_label(image.img)
        for key, val in label.iteritems():
            if type(val) == pvl._collections.PVLObject:
                for key, value in val.iteritems():
                    try:
                        setattr(image, key, value.value)
                    except:
                        setattr(image, key, value)
            else:
                setattr(image, key, val)
        image.start_byte = image.RECORD_BYTES
        image.bytesize = 4
        image.projection = str(label['IMAGE_MAP_PROJECTION'][
                                  'MAP_PROJECTION_TYPE'])
        image.dtype = np.float32