# Path: ldif/model/hparams.py
# def backwards_compatible_hparam_defaults(ident):
# def tf_hparams_to_dict(tf_hparams):
# def build_ldif_hparams():
# def build_sif_hparams():
# def build_improved_sif_hparams():
# def build_singleview_depth_hparams():
# def write_hparams(hparams, path):
# def read_hparams_with_new_backwards_compatible_additions(path):
# def read_hparams(path):
# 
# Path: ldif/util/file_util.py
# def readlines(p):
# def readbin(p):
# def writebin(p, s):
# def writetxt(p, s):
# def write_np(path, arr):
# def read_grd(path):
# def read_sif_v1(path, verbose=False):
# def read_lines(p):
# def read_image(p):
# def read_npz(p):
# def read_np(p):
# def read_txt_to_np(p):
# def read_py2_pkl(p):
# def write_mesh(path, mesh):
# def read_mesh(path):
# def read_csv(path):
# def read_normals(path_to_dir, im_count=20, leading='_depth'):
# def write_points(path_ext_optional, points):
# def write_grd(path, volume, world2grid=None):
# def write_depth_image(path, depth_image):
# 
# Path: ldif/util/path_util.py
# def get_path_to_ldif_root():
# def get_path_to_ldif_parent():
# def package_to_abs(path):
# def gaps_path():
# def test_data_path():
# def util_test_data_path():
# def create_test_output_dir():
# 
# Path: ldif/util/file_util.py
# def readlines(p):
# def readbin(p):
# def writebin(p, s):
# def writetxt(p, s):
# def write_np(path, arr):
# def read_grd(path):
# def read_sif_v1(path, verbose=False):
# def read_lines(p):
# def read_image(p):
# def read_npz(p):
# def read_np(p):
# def read_txt_to_np(p):
# def read_py2_pkl(p):
# def write_mesh(path, mesh):
# def read_mesh(path):
# def read_csv(path):
# def read_normals(path_to_dir, im_count=20, leading='_depth'):
# def write_points(path_ext_optional, points):
# def write_grd(path, volume, world2grid=None):
# def write_depth_image(path, depth_image):


import importlib
import os
import numpy as np
from ldif.model import hparams as hparams_util
from ldif.util import file_util
from ldif.util import path_util
from ldif.util.file_util import log
    return self._hparams

  @property
  def model_config(self):
    if self._model_config is None:
      self._model_config = ModelConfig(self.hparams)
    return self._model_config


class Experiment(object):
  """A tensorflow experiment run. Provides an interface to results."""

  def __init__(self, model_dir, model_name, experiment_name):
    self.root = f'{model_dir}/{model_name}-{experiment_name}'
    self.model_name = model_name
    self.experiment_name = experiment_name

    if not file_util.exists(self.root):
      log.verbose('Regex expanding root to find experiment ID')
      options = file_util.glob(self.root[:-1] + '*')
      if len(options) != 1:
        log.verbose(
            "Tried to glob for directory but didn't find one path. Found:")
        log.verbose(options)
        raise ValueError('Directory not found: %s' % self.root)
      else:
        self.root = options[0] + '/'
        self.experiment_name = os.path.basename(self.root.strip('/'))
        self.experiment_name = self.experiment_name.replace(
            self.model_name + '-', '')

# Path: ldif/model/hparams.py
# def backwards_compatible_hparam_defaults(ident):
# def tf_hparams_to_dict(tf_hparams):
# def build_ldif_hparams():
# def build_sif_hparams():
# def build_improved_sif_hparams():
# def build_singleview_depth_hparams():
# def write_hparams(hparams, path):
# def read_hparams_with_new_backwards_compatible_additions(path):
# def read_hparams(path):
# 
# Path: ldif/util/file_util.py
# def readlines(p):
# def readbin(p):
# def writebin(p, s):
# def writetxt(p, s):
# def write_np(path, arr):
# def read_grd(path):
# def read_sif_v1(path, verbose=False):
# def read_lines(p):
# def read_image(p):
# def read_npz(p):
# def read_np(p):
# def read_txt_to_np(p):
# def read_py2_pkl(p):
# def write_mesh(path, mesh):
# def read_mesh(path):
# def read_csv(path):
# def read_normals(path_to_dir, im_count=20, leading='_depth'):
# def write_points(path_ext_optional, points):
# def write_grd(path, volume, world2grid=None):
# def write_depth_image(path, depth_image):
# 
# Path: ldif/util/path_util.py
# def get_path_to_ldif_root():
# def get_path_to_ldif_parent():
# def package_to_abs(path):
# def gaps_path():
# def test_data_path():
# def util_test_data_path():
# def create_test_output_dir():
# 
# Path: ldif/util/file_util.py
# def readlines(p):
# def readbin(p):
# def writebin(p, s):
# def writetxt(p, s):
# def write_np(path, arr):
# def read_grd(path):
# def read_sif_v1(path, verbose=False):
# def read_lines(p):
# def read_image(p):
# def read_npz(p):
# def read_np(p):
# def read_txt_to_np(p):
# def read_py2_pkl(p):
# def write_mesh(path, mesh):
# def read_mesh(path):
# def read_csv(path):
# def read_normals(path_to_dir, im_count=20, leading='_depth'):
# def write_points(path_ext_optional, points):
# def write_grd(path, volume, world2grid=None):
# def write_depth_image(path, depth_image):


# Path: ldif/inference/experiment.py
import importlib
import os
import numpy as np
from ldif.model import hparams as hparams_util
from ldif.util import file_util
from ldif.util import path_util
from ldif.util.file_util import log

    return self._hparams

  @property
  def model_config(self):
    if self._model_config is None:
      self._model_config = ModelConfig(self.hparams)
    return self._model_config


class Experiment(object):
  """A tensorflow experiment run. Provides an interface to results."""

  def __init__(self, model_dir, model_name, experiment_name):
    self.root = f'{model_dir}/{model_name}-{experiment_name}'
    self.model_name = model_name
    self.experiment_name = experiment_name

    if not file_util.exists(self.root):
      log.verbose('Regex expanding root to find experiment ID')
      options = file_util.glob(self.root[:-1] + '*')
      if len(options) != 1:
        log.verbose(
            "Tried to glob for directory but didn't find one path. Found:")
        log.verbose(options)
        raise ValueError('Directory not found: %s' % self.root)
      else:
        self.root = options[0] + '/'
        self.experiment_name = os.path.basename(self.root.strip('/'))
        self.experiment_name = self.experiment_name.replace(
            self.model_name + '-', '')

        log.verbose('Expanded experiment name with regex to root: %s' %