def __init__(self, prefix):
"""
Args:
prefix (str): Path of the prefix
"""
self._prefix = prefix
self.paths = paths.Paths(self._prefix)
self._virt_env = None
self._metadata = None
def getStreamErrors():
import paths
mypaths = paths.Paths()
errFile = '{}/streamErrors.txt'.format(mypaths.llh_dir)
if not os.path.isfile(errFile):
return []
with open(errFile, 'r') as f:
badFiles = f.readlines()
badFiles = [f.strip() for f in badFiles]
return badFiles
def is_prefix(cls, path):
"""
Check if a path is a valid prefix
Args:
path(str): path to be checked
Returns:
bool: True if the given path is a prefix
"""
lagofile = paths.Paths(path).prefix_lagofile()
return os.path.isfile(lagofile)
def main():
parameters = get_parameters()
#rint_encoder_parameters(parameters)
path = paths.Paths()
path.set_paths(parameters)
#path.print_paths()
print("\n############################################################")
print('---------- Creating all directories')
cmd_mkdir_of_pc = 'mkdir ' + path.of_pc_lf_path
cmd_mkdir_residues = 'mkdir ' + path.residues_path
cmd_mkdir_yuv = 'mkdir ' + path.yuv_path
cmd_mkdir_str = 'mkdir ' + path.str_path
print(cmd_mkdir_of_pc)
os.system(cmd_mkdir_of_pc)
print(cmd_mkdir_residues)
os.system(cmd_mkdir_residues)
print(cmd_mkdir_yuv)
os.system(cmd_mkdir_yuv)
print(cmd_mkdir_str)
os.system(cmd_mkdir_str)
print("\n############################################################")
print('---------- Encoding central SAI')
central_sai_encoder.central_sai_to_yuv(parameters['-type'], path.org_lf_path, path.yuv_path)
central_sai_encoder.encode_central_sai_hevc(path.org_lf_path, path.yuv_path, path.str_path, 50)
matlab_engine = matlab.engine.start_matlab()
print("\n############################################################")
print('---------- Running OF+PC encoder')
print('Command: warp_SAIs(' + parameters['-type'] + ', \'blocks\', \'median\', ' + path.org_lf_path + ', ' + path.reference_lf_path + ', ' + path.output_path + ')\n')
matlab_engine.warp_SAIs(parameters['-type'], 'blocks', 'median', path.org_lf_path, path.reference_lf_path, path.of_pc_lf_path, nargout=0)
print("\n############################################################")
print('---------- Generating residues')
print('Command: generate_residue(' + parameters['-type'] + ', ' + path.org_lf_path + ', ' + path.of_pc_lf_path + ', ' + path.residues_path + ')\n')
matlab_engine.generate_residues(parameters['-type'], path.org_lf_path, path.of_pc_lf_path, path.residues_path, nargout=0)
print("\n############################################################")
print('---------- Generating residues YUV')
ppm_to_yuv.generate_sais_list('lenslet', path.residues_path)
ppm_to_yuv.generate_yuv_residues('lenslet', path.residues_path, path.yuv_path)
def __init__(self, argv):
optionsparsing.Options(argv)
paths.Paths()
options.Options()
logging.basicConfig(level=options.Options.loglevel)
self.logger = logging.getLogger(__name__)
self.logger.setLevel(options.Options.loglevel)
self.logger.info("Creating Semantic Role "
"Labeller with argv: {}".format(argv))
""" Load resources """
self.frameNet = framenet.FrameNet()
self.logger.info("Loading FrameNet...")
framenet.FrameNetReader(
paths.Paths.framenet_path(options.Options.language), self.frameNet)
#print("SemanticRoleLabeler framenet frames: {}".format(self.frameNet.frames))
self.logger.info("Loading VerbNet...")
self.frames_for_verb, self.verbnet_classes = verbnetreader.init_verbnet(
paths.Paths.verbnet_path(options.Options.language))
self.role_matcher = rolematcher.VnFnRoleMatcher(
paths.Paths.VNFN_MATCHING, self.frameNet)
def __one_init__(self):
self._paths = paths.Paths()
self._logger = logger.Logger("Application Config")
#TODO: Extend functionality to toggle to remote connect
self._use_local_rpc_settings = True
self._minMaxModels = {
scanning_model.ScanningModel: {
"min": dict(
time_between_scans=7.0,
number_of_scans=1,
project_name=None,
directory_containing_project=None,
project_tag=None,
scanner_tag=None,
description=None,
email=None,
pinning_formats=None,
fixture=None,
scanner=1),
"max": dict(
time_between_scans=None,
number_of_scans=999999,
project_name=None,
directory_containing_project=None,
project_tag=None,
scanner_tag=None,
description=None,
email=None,
pinning_formats=None,
fixture=None,
scanner=1),
}
}
self.reload_settings()
def _create_paths(self):
return paths.Paths(self._prefix)