type=str,
default='0')
args = parser.parse_args()
hyper_params['dbTrain'] = args.dbTrain
hyper_params['dbEval'] = args.dbEval
hyper_params['outDir'] = args.outDir
hyper_params['nb_gpus'] = args.nb_gpus
hyper_params['device'] = args.devices
# Set GPU
os.environ['CUDA_VISIBLE_DEVICES'] = hyper_params['device']
# Set output folder
output_folder = hyper_params['outDir']
make_dir(output_folder)
# Set logger
logger = logging.getLogger('main')
logger.setLevel(logging.DEBUG)
fh = logging.FileHandler(os.path.join(output_folder, 'log.txt'))
fh.setLevel(logging.DEBUG)
ch = logging.StreamHandler()
ch.setLevel(logging.INFO)
formatter = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s')
fh.setFormatter(formatter)
ch.setFormatter(formatter)
logger.addHandler(fh)
logger.addHandler(ch)
parser.add_argument('--graphName', required=True, help='writen graph name, net.pbtxt', type=str)
args = parser.parse_args()
hyper_params['cktDir'] = args.cktDir
hyper_params['dbTest'] = args.dbTest
hyper_params['outDir'] = args.outDir
hyper_params['device'] = args.device
hyper_params['lossId'] = args.lossId
hyper_params['graphName'] = args.graphName
# Set GPU
os.environ['CUDA_VISIBLE_DEVICES'] = hyper_params['device']
# out img dir
out_img_dir = os.path.join(hyper_params['outDir'], 'out_img')
make_dir(out_img_dir)
# Set logger
logger = logging.getLogger('main')
logger.setLevel(logging.DEBUG)
fh = logging.FileHandler(os.path.join(hyper_params['outDir'], 'log.txt'))
fh.setLevel(logging.DEBUG)
ch = logging.StreamHandler()
ch.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
fh.setFormatter(formatter)
ch.setFormatter(formatter)
logger.addHandler(fh)
logger.addHandler(ch)
# Training preparation
