def parse_args():
parser = cli.ArgsParser()
parser.add_argument(
"--weight_type",
default='pretrain',
type=str,
help=
"Loading Checkpoints only support 'pretrain', 'finetune', 'resume'.")
parser.add_argument("--eval",
action='store_true',
default=False,
help="Whether to perform evaluation in train")
parser.add_argument("--slim_config",
default=None,
type=str,
help="Configuration file of slim method.")
parser.add_argument("--enable_ce",
type=bool,
default=False,
help="If set True, enable continuous evaluation job."
"This flag is only used for internal test.")
parser.add_argument("--fp16",
action='store_true',
default=False,
help="Enable mixed precision training.")
parser.add_argument("--fleet",
action='store_true',
default=False,
help="Use fleet or not")
args = parser.parse_args()
return args
def parse_args():
parser = cli.ArgsParser()
parser.add_argument("--eval",
action='store_true',
default=False,
help="Whether to perform evaluation in train")
parser.add_argument("-r",
"--resume",
default=None,
help="weights path for resume")
parser.add_argument("--slim_config",
default=None,
type=str,
help="Configuration file of slim method.")
parser.add_argument("--enable_ce",
type=bool,
default=False,
help="If set True, enable continuous evaluation job."
"This flag is only used for internal test.")
parser.add_argument("--amp",
action='store_true',
default=False,
help="Enable auto mixed precision training.")
parser.add_argument("--fleet",
action='store_true',
default=False,
help="Use fleet or not")
parser.add_argument("--use_vdl",
type=bool,
default=False,
help="whether to record the data to VisualDL.")
parser.add_argument('--vdl_log_dir',
type=str,
default="vdl_log_dir/scalar",
help='VisualDL logging directory for scalar.')
parser.add_argument('--save_prediction_only',
action='store_true',
default=False,
help='Whether to save the evaluation results only')
parser.add_argument('--profiler_options',
type=str,
default=None,
help="The option of profiler, which should be in "
"format \"key1=value1;key2=value2;key3=value3\"."
"please see ppdet/utils/profiler.py for detail.")
parser.add_argument('--save_proposals',
action='store_true',
default=False,
help='Whether to save the train proposals')
parser.add_argument('--proposals_path',
type=str,
default="sniper/proposals.json",
help='Train proposals directory')
args = parser.parse_args()
return args
def parse_args():
parser = cli.ArgsParser()
parser.add_argument(
"-c",
"--config",
type=str,
default='configs/yolov3/yolov3_mobilenet_v1_roadsign.yml',
help="configuration file to use")
parser.add_argument("--eval",
action='store_true',
default=False,
help="Whether to perform evaluation in train")
parser.add_argument("-r",
"--resume",
default=None,
help="weights path for resume")
parser.add_argument("--slim_config",
default=None,
type=str,
help="Configuration file of slim method.")
parser.add_argument("--enable_ce",
type=bool,
default=False,
help="If set True, enable continuous evaluation job."
"This flag is only used for "
"internal test.")
parser.add_argument("--fp16",
action='store_true',
default=False,
help="Enable mixed precision training.")
parser.add_argument("--fleet",
action='store_true',
default=False,
help="Use fleet or not")
parser.add_argument("--use_vdl",
type=bool,
default=False,
help="whether to record the data to VisualDL.")
parser.add_argument('--vdl_log_dir',
type=str,
default="vdl_log_dir/scalar",
help='VisualDL logging directory for scalar.')
parser.add_argument('--save_prediction_only',
action='store_true',
default=False,
help='Whether to save the evaluation results only')
args = parser.parse_args()
return args
def parse_args():
parser = cli.ArgsParser()
parser.add_argument(
"--weight_type",
default='pretrain',
type=str,
help="Loading Checkpoints only support 'pretrain', 'finetune', 'resume'."
)
parser.add_argument(
"--fp16",
action='store_true',
default=False,
help="Enable mixed precision training.")
parser.add_argument(
"--loss_scale",
default=8.,
type=float,
help="Mixed precision training loss scale.")
parser.add_argument(
"--eval",
action='store_true',
default=False,
help="Whether to perform evaluation in train")
parser.add_argument(
"--output_eval",
default=None,
type=str,
help="Evaluation directory, default is current directory.")
parser.add_argument(
"--enable_ce",
type=bool,
default=False,
help="If set True, enable continuous evaluation job."
"This flag is only used for internal test.")
parser.add_argument(
"--use_gpu", action='store_true', default=False, help="data parallel")
args = parser.parse_args()
return args
