# Check whether names are given
if config.names is not None:
# Loop over the directories in the temporary directory
for path, name in remote.directories_in_path(remote.pts_temp_path,
returns=["path", "name"]):
# Contains timestamp
if time.is_unique_name(name):
# Without timestamp in list
basename = time.get_name_from_unique_name(name)
if basename in config.names: remote.remove_directory(path)
# Full name in list
if name in config.names: remote.remove_directory(path)
# Full name in list
elif name in config.names:
remote.remove_directory(path)
# Clear all temporary data
else:
remote.clear_directory(remote.pts_temp_path)
# Local
# -----------------------------------------------------------------
else:
fs.clear_directory(introspection.pts_temp_dir)
# Create the remote
remote = Remote(host_id=config.remote)
# Check whether names are given
if config.names is not None:
# Loop over the directories in the temporary directory
for path, name in remote.directories_in_path(remote.pts_temp_path, returns=["path", "name"]):
# Contains timestamp
if time.is_unique_name(name):
# Without timestamp in list
basename = time.get_name_from_unique_name(name)
if basename in config.names: remote.remove_directory(path)
# Full name in list
if name in config.names: remote.remove_directory(path)
# Full name in list
elif name in config.names: remote.remove_directory(path)
# Clear all temporary data
else: remote.clear_directory(remote.pts_temp_path)
# Local
else: fs.clear_directory(introspection.pts_temp_dir)
# -----------------------------------------------------------------
else:
# Infomr
log.info("Downloading the '" + name + "' file to [" + origin_path +
"] ...")
# Download
remote.download_file_to(path, origin_path, remove=True)
# Success
log.success("Succesfully retrieved the '" + name + "' image ...")
# Inform the user
log.info("Clearing the remote data structure ...")
# Clear the entire data structure now
remote.clear_directory(remote_data_path)
# -----------------------------------------------------------------
# Get the image paths
paths, error_paths = get_data_image_and_error_paths(modeling_path)
# -----------------------------------------------------------------
# Get the initial dataset
dataset = get_initial_dataset(modeling_path, check=False)
# -----------------------------------------------------------------
# Loop over the images
for name in paths: