Python src.file_utils.exists() Examples

The following are 30 code examples of src.file_utils.exists(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module src.file_utils , or try the search function .
Example #1
Source File: nav_env.py    From multilabel-image-classification-tensorflow with MIT License 6 votes vote down vote up 
def _get_semantic_maps(folder_name, building_name, map, flip):
  # Load file from the cache.
  file_name = '{:s}_{:d}_{:d}_{:d}_{:d}_{:d}_{:d}.pkl'
  file_name = file_name.format(building_name, map.size[0], map.size[1],
                               map.origin[0], map.origin[1], map.resolution,
                               flip)
  file_name = os.path.join(folder_name, file_name)
  logging.info('Loading semantic maps from %s.', file_name)

  if fu.exists(file_name):
    a = utils.load_variables(file_name)
    maps = a['maps'] #HxWx#C
    cats = a['cats']
  else:
    logging.error('file_name: %s not found.', file_name)
    maps = None
    cats = None
  return maps, cats
Example #2
Source File: nav_env.py    From object_detection_kitti with Apache License 2.0 6 votes vote down vote up 
def _get_semantic_maps(folder_name, building_name, map, flip):
  # Load file from the cache.
  file_name = '{:s}_{:d}_{:d}_{:d}_{:d}_{:d}_{:d}.pkl'
  file_name = file_name.format(building_name, map.size[0], map.size[1],
                               map.origin[0], map.origin[1], map.resolution,
                               flip)
  file_name = os.path.join(folder_name, file_name)
  logging.info('Loading semantic maps from %s.', file_name)

  if fu.exists(file_name):
    a = utils.load_variables(file_name)
    maps = a['maps'] #HxWx#C
    cats = a['cats']
  else:
    logging.error('file_name: %s not found.', file_name)
    maps = None
    cats = None
  return maps, cats
Example #3
Source File: nav_env.py    From object_detection_with_tensorflow with MIT License 6 votes vote down vote up 
def _get_semantic_maps(folder_name, building_name, map, flip):
  # Load file from the cache.
  file_name = '{:s}_{:d}_{:d}_{:d}_{:d}_{:d}_{:d}.pkl'
  file_name = file_name.format(building_name, map.size[0], map.size[1],
                               map.origin[0], map.origin[1], map.resolution,
                               flip)
  file_name = os.path.join(folder_name, file_name)
  logging.info('Loading semantic maps from %s.', file_name)

  if fu.exists(file_name):
    a = utils.load_variables(file_name)
    maps = a['maps'] #HxWx#C
    cats = a['cats']
  else:
    logging.error('file_name: %s not found.', file_name)
    maps = None
    cats = None
  return maps, cats
Example #4
Source File: nav_env.py    From hands-detection with MIT License 6 votes vote down vote up 
def _get_semantic_maps(folder_name, building_name, map, flip):
  # Load file from the cache.
  file_name = '{:s}_{:d}_{:d}_{:d}_{:d}_{:d}_{:d}.pkl'
  file_name = file_name.format(building_name, map.size[0], map.size[1],
                               map.origin[0], map.origin[1], map.resolution,
                               flip)
  file_name = os.path.join(folder_name, file_name)
  logging.info('Loading semantic maps from %s.', file_name)

  if fu.exists(file_name):
    a = utils.load_variables(file_name)
    maps = a['maps'] #HxWx#C
    cats = a['cats']
  else:
    logging.error('file_name: %s not found.', file_name)
    maps = None
    cats = None
  return maps, cats
Example #5
Source File: nav_env.py    From Gun-Detector with Apache License 2.0 6 votes vote down vote up 
def _get_semantic_maps(folder_name, building_name, map, flip):
  # Load file from the cache.
  file_name = '{:s}_{:d}_{:d}_{:d}_{:d}_{:d}_{:d}.pkl'
  file_name = file_name.format(building_name, map.size[0], map.size[1],
                               map.origin[0], map.origin[1], map.resolution,
                               flip)
  file_name = os.path.join(folder_name, file_name)
  logging.info('Loading semantic maps from %s.', file_name)

  if fu.exists(file_name):
    a = utils.load_variables(file_name)
    maps = a['maps'] #HxWx#C
    cats = a['cats']
  else:
    logging.error('file_name: %s not found.', file_name)
    maps = None
    cats = None
  return maps, cats
Example #6
Source File: nav_env.py    From g-tensorflow-models with Apache License 2.0 6 votes vote down vote up 
def _get_semantic_maps(folder_name, building_name, map, flip):
  # Load file from the cache.
  file_name = '{:s}_{:d}_{:d}_{:d}_{:d}_{:d}_{:d}.pkl'
  file_name = file_name.format(building_name, map.size[0], map.size[1],
                               map.origin[0], map.origin[1], map.resolution,
                               flip)
  file_name = os.path.join(folder_name, file_name)
  logging.info('Loading semantic maps from %s.', file_name)

  if fu.exists(file_name):
    a = utils.load_variables(file_name)
    maps = a['maps'] #HxWx#C
    cats = a['cats']
  else:
    logging.error('file_name: %s not found.', file_name)
    maps = None
    cats = None
  return maps, cats
Example #7
Source File: nav_env.py    From yolo_v2 with Apache License 2.0 6 votes vote down vote up 
def _get_semantic_maps(folder_name, building_name, map, flip):
  # Load file from the cache.
  file_name = '{:s}_{:d}_{:d}_{:d}_{:d}_{:d}_{:d}.pkl'
  file_name = file_name.format(building_name, map.size[0], map.size[1],
                               map.origin[0], map.origin[1], map.resolution,
                               flip)
  file_name = os.path.join(folder_name, file_name)
  logging.info('Loading semantic maps from %s.', file_name)

  if fu.exists(file_name):
    a = utils.load_variables(file_name)
    maps = a['maps'] #HxWx#C
    cats = a['cats']
  else:
    logging.error('file_name: %s not found.', file_name)
    maps = None
    cats = None
  return maps, cats
Example #8
Source File: nav_env.py    From DOTA_models with Apache License 2.0 6 votes vote down vote up 
def _get_semantic_maps(folder_name, building_name, map, flip):
  # Load file from the cache.
  file_name = '{:s}_{:d}_{:d}_{:d}_{:d}_{:d}_{:d}.pkl'
  file_name = file_name.format(building_name, map.size[0], map.size[1],
                               map.origin[0], map.origin[1], map.resolution,
                               flip)
  file_name = os.path.join(folder_name, file_name)
  logging.info('Loading semantic maps from %s.', file_name)

  if fu.exists(file_name):
    a = utils.load_variables(file_name)
    maps = a['maps'] #HxWx#C
    cats = a['cats']
  else:
    logging.error('file_name: %s not found.', file_name)
    maps = None
    cats = None
  return maps, cats
Example #9
Source File: nav_env.py    From models with Apache License 2.0 6 votes vote down vote up 
def _get_semantic_maps(folder_name, building_name, map, flip):
  # Load file from the cache.
  file_name = '{:s}_{:d}_{:d}_{:d}_{:d}_{:d}_{:d}.pkl'
  file_name = file_name.format(building_name, map.size[0], map.size[1],
                               map.origin[0], map.origin[1], map.resolution,
                               flip)
  file_name = os.path.join(folder_name, file_name)
  logging.info('Loading semantic maps from %s.', file_name)

  if fu.exists(file_name):
    a = utils.load_variables(file_name)
    maps = a['maps'] #HxWx#C
    cats = a['cats']
  else:
    logging.error('file_name: %s not found.', file_name)
    maps = None
    cats = None
  return maps, cats
Example #10
Source File: utils.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
def load_variables(pickle_file_name):
  if fu.exists(pickle_file_name):
    with fu.fopen(pickle_file_name, 'r') as f:
      d = cPickle.load(f)
    return d
  else:
    raise Exception('{:s} does not exists.'.format(pickle_file_name))
Example #11
Source File: utils.py    From object_detection_kitti with Apache License 2.0 5 votes vote down vote up 
def load_variables(pickle_file_name):
  if fu.exists(pickle_file_name):
    with fu.fopen(pickle_file_name, 'r') as f:
      d = cPickle.load(f)
    return d
  else:
    raise Exception('{:s} does not exists.'.format(pickle_file_name))
Example #12
Source File: utils.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def save_variables(pickle_file_name, var, info, overwrite = False):
  if fu.exists(pickle_file_name) and overwrite == False:
    raise Exception('{:s} exists and over write is false.'.format(pickle_file_name))
  # Construct the dictionary
  assert(type(var) == list); assert(type(info) == list);
  d = {}
  for i in xrange(len(var)):
    d[info[i]] = var[i]
  with fu.fopen(pickle_file_name, 'w') as f:
    cPickle.dump(d, f, cPickle.HIGHEST_PROTOCOL)
Example #13
Source File: utils.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def load_variables(pickle_file_name):
  if fu.exists(pickle_file_name):
    with fu.fopen(pickle_file_name, 'r') as f:
      d = cPickle.load(f)
    return d
  else:
    raise Exception('{:s} does not exists.'.format(pickle_file_name))
Example #14
Source File: factory.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def get_meta_data(self, file_name, data_dir=None):
    if data_dir is None:
      data_dir = self.get_data_dir()
    full_file_name = os.path.join(data_dir, 'meta', file_name)
    assert(fu.exists(full_file_name)), \
      '{:s} does not exist'.format(full_file_name)
    ext = os.path.splitext(full_file_name)[1]
    if ext == '.txt':
      ls = []
      with fu.fopen(full_file_name, 'r') as f:
        for l in f:
          ls.append(l.rstrip())
    elif ext == '.pkl':
      ls = utils.load_variables(full_file_name)
    return ls
Example #15
Source File: factory.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def get_meta_data(self, file_name, data_dir=None):
    if data_dir is None:
      data_dir = self.get_data_dir()
    full_file_name = os.path.join(data_dir, 'meta', file_name)
    assert(fu.exists(full_file_name)), \
      '{:s} does not exist'.format(full_file_name)
    ext = os.path.splitext(full_file_name)[1]
    if ext == '.txt':
      ls = []
      with fu.fopen(full_file_name, 'r') as f:
        for l in f:
          ls.append(l.rstrip())
    elif ext == '.pkl':
      ls = utils.load_variables(full_file_name)
    return ls
Example #16
Source File: utils.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def load_variables(pickle_file_name):
  if fu.exists(pickle_file_name):
    with fu.fopen(pickle_file_name, 'r') as f:
      d = cPickle.load(f)
    return d
  else:
    raise Exception('{:s} does not exists.'.format(pickle_file_name))
Example #17
Source File: utils.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
def mkdir_if_missing(output_dir):
  if not fu.exists(output_dir):
    fu.makedirs(output_dir)
Example #18
Source File: utils.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
def save_variables(pickle_file_name, var, info, overwrite = False):
  if fu.exists(pickle_file_name) and overwrite == False:
    raise Exception('{:s} exists and over write is false.'.format(pickle_file_name))
  # Construct the dictionary
  assert(type(var) == list); assert(type(info) == list);
  d = {}
  for i in xrange(len(var)):
    d[info[i]] = var[i]
  with fu.fopen(pickle_file_name, 'w') as f:
    cPickle.dump(d, f, cPickle.HIGHEST_PROTOCOL)
Example #19
Source File: factory.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
def get_meta_data(self, file_name, data_dir=None):
    if data_dir is None:
      data_dir = self.get_data_dir()
    full_file_name = os.path.join(data_dir, 'meta', file_name)
    assert(fu.exists(full_file_name)), \
      '{:s} does not exist'.format(full_file_name)
    ext = os.path.splitext(full_file_name)[1]
    if ext == '.txt':
      ls = []
      with fu.fopen(full_file_name, 'r') as f:
        for l in f:
          ls.append(l.rstrip())
    elif ext == '.pkl':
      ls = utils.load_variables(full_file_name)
    return ls
Example #20
Source File: utils.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def save_variables(pickle_file_name, var, info, overwrite = False):
  if fu.exists(pickle_file_name) and overwrite == False:
    raise Exception('{:s} exists and over write is false.'.format(pickle_file_name))
  # Construct the dictionary
  assert(type(var) == list); assert(type(info) == list);
  d = {}
  for i in xrange(len(var)):
    d[info[i]] = var[i]
  with fu.fopen(pickle_file_name, 'w') as f:
    cPickle.dump(d, f, cPickle.HIGHEST_PROTOCOL)
Example #21
Source File: utils.py    From models with Apache License 2.0 5 votes vote down vote up 
def mkdir_if_missing(output_dir):
  if not fu.exists(output_dir):
    fu.makedirs(output_dir)
Example #22
Source File: utils.py    From models with Apache License 2.0 5 votes vote down vote up 
def save_variables(pickle_file_name, var, info, overwrite = False):
  if fu.exists(pickle_file_name) and overwrite == False:
    raise Exception('{:s} exists and over write is false.'.format(pickle_file_name))
  # Construct the dictionary
  assert(type(var) == list); assert(type(info) == list);
  d = {}
  for i in xrange(len(var)):
    d[info[i]] = var[i]
  with fu.fopen(pickle_file_name, 'w') as f:
    cPickle.dump(d, f, cPickle.HIGHEST_PROTOCOL)
Example #23
Source File: utils.py    From models with Apache License 2.0 5 votes vote down vote up 
def load_variables(pickle_file_name):
  if fu.exists(pickle_file_name):
    with fu.fopen(pickle_file_name, 'r') as f:
      d = cPickle.load(f)
    return d
  else:
    raise Exception('{:s} does not exists.'.format(pickle_file_name))
Example #24
Source File: utils.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def mkdir_if_missing(output_dir):
  if not fu.exists(output_dir):
    fu.makedirs(output_dir)
Example #25
Source File: factory.py    From models with Apache License 2.0 5 votes vote down vote up 
def get_meta_data(self, file_name, data_dir=None):
    if data_dir is None:
      data_dir = self.get_data_dir()
    full_file_name = os.path.join(data_dir, 'meta', file_name)
    assert(fu.exists(full_file_name)), \
      '{:s} does not exist'.format(full_file_name)
    ext = os.path.splitext(full_file_name)[1]
    if ext == '.txt':
      ls = []
      with fu.fopen(full_file_name, 'r') as f:
        for l in f:
          ls.append(l.rstrip())
    elif ext == '.pkl':
      ls = utils.load_variables(full_file_name)
    return ls
Example #26
Source File: utils.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def load_variables(pickle_file_name):
  if fu.exists(pickle_file_name):
    with fu.fopen(pickle_file_name, 'r') as f:
      d = cPickle.load(f)
    return d
  else:
    raise Exception('{:s} does not exists.'.format(pickle_file_name))
Example #27
Source File: utils.py    From DOTA_models with Apache License 2.0 5 votes vote down vote up 
def save_variables(pickle_file_name, var, info, overwrite = False):
  if fu.exists(pickle_file_name) and overwrite == False:
    raise Exception('{:s} exists and over write is false.'.format(pickle_file_name))
  # Construct the dictionary
  assert(type(var) == list); assert(type(info) == list);
  d = {}
  for i in xrange(len(var)):
    d[info[i]] = var[i]
  with fu.fopen(pickle_file_name, 'w') as f:
    cPickle.dump(d, f, cPickle.HIGHEST_PROTOCOL)
Example #28
Source File: utils.py    From DOTA_models with Apache License 2.0 5 votes vote down vote up 
def load_variables(pickle_file_name):
  if fu.exists(pickle_file_name):
    with fu.fopen(pickle_file_name, 'r') as f:
      d = cPickle.load(f)
    return d
  else:
    raise Exception('{:s} does not exists.'.format(pickle_file_name))
Example #29
Source File: factory.py    From DOTA_models with Apache License 2.0 5 votes vote down vote up 
def get_meta_data(self, file_name, data_dir=None):
    if data_dir is None:
      data_dir = self.get_data_dir()
    full_file_name = os.path.join(data_dir, 'meta', file_name)
    assert(fu.exists(full_file_name)), \
      '{:s} does not exist'.format(full_file_name)
    ext = os.path.splitext(full_file_name)[1]
    if ext == '.txt':
      ls = []
      with fu.fopen(full_file_name, 'r') as f:
        for l in f:
          ls.append(l.rstrip())
    elif ext == '.pkl':
      ls = utils.load_variables(full_file_name)
    return ls
Example #30
Source File: utils.py    From yolo_v2 with Apache License 2.0 5 votes vote down vote up 
def mkdir_if_missing(output_dir):
  if not fu.exists(output_dir):
    fu.makedirs(output_dir)