def read_hparams_with_new_backwards_compatible_additions(path):
"""Reads hparams from a file and adds in any new backwards compatible ones."""
kvs = pickle.loads(file_util.readbin(path))
log.verbose('Loaded %s' % repr(kvs))
if 'ident' not in kvs:
ident = 'sif' # A default identifier for old checkpoints.
log.info('Default ident!')
else:
ident = kvs['ident']
new_additions = backwards_compatible_hparam_defaults(ident)
for k, v in new_additions.items():
if k not in kvs:
log.verbose('Adding hparam %s:%s since it postdates the checkpoint.' %
(k, str(v)))
kvs[k] = v
# r50 is no longer supported, replace it:
if 'cnna' in kvs and kvs['cnna'] == 'r50':
kvs['cnna'] = 's50'
hparams = tf.contrib.training.HParams(**kvs)
return hparams
def read_hparams(path): kvs = pickle.loads(file_util.readbin(path)) hparams = tf.contrib.training.HParams(**kvs) return hparams
def gt_mesh_str(self):
if not hasattr(self, '_gt_mesh_str'):
self._gt_mesh_str = file_util.readbin(self.gt_path)
return self._gt_mesh_str
def read_pts_file(path): """Reads a .pts or a .sdf point samples file.""" contents = file_util.readbin(path) points = np.frombuffer(contents, dtype=np.float32).reshape([-1, 4]) return points