in loss/loss_params.py [0:0]
def add_arguments(parser):
parser.add_argument(
"--distance_type_static",
default="l1",
choices=DIST_NAMES,
help="(robuset) distance function type",
)
parser.add_argument(
"--distance_alpha",
type=float,
default=1,
help="used when distance_type == general.",
)
parser.add_argument(
"--distance_scale",
type=float,
default=1,
help="used when distance_type is not l1.",
)
parser.add_argument(
"--distance_type_smooth",
default="l1",
choices=DIST_NAMES,
help="(robuset) distance function type",
)
parser.add_argument(
"--lambda_static_disparity",
type=float,
default=0.0,
help="weight for static disparity loss."
" If < 0 it will be set automatically to the default for the"
" specified model adapter.",
)
parser.add_argument(
"--lambda_static_depth_ratio",
type=float,
default=100.0,
help="weight for static depth ratio loss.",
)
parser.add_argument(
"--lambda_static_reprojection",
type=float,
default=1.0,
help="weight for static reprojection loss.",
)
parser.add_argument(
"--lambda_scene_flow_static",
type=float,
default=0.0,
help="weight for static scene flow loss.",
)
parser.add_argument(
"--lambda_smooth_disparity",
type=float,
default=0.0,
help="weight for temporally smooth scene flow loss (on disparity error).",
)
parser.add_argument(
"--lambda_smooth_depth_ratio",
type=float,
default=0,
help="weight for temporally smooth scene flow loss (on depth ratio error).",
)
parser.add_argument(
"--lambda_smooth_reprojection",
type=float,
default=0.0,
help="weight for temporally smooth scene flow loss (on reprojection error).",
)
parser.add_argument(
"--lambda_parameter",
type=float,
default=0,
help="weight for network parameter regularization loss.",
)
parser.add_argument(
"--lambda_disparity_smooth",
type=float,
default=0.0,
help="weight for spatial smoothness loss.",
)
parser.add_argument(
"--sigma_color_grad",
type=float,
default=1.0,
help="weight for spatial smoothness loss.",
)
parser.add_argument(
"--lambda_contrast_thresh",
type=float,
default=1.05,
help="depth ratio threshhold to compute contrast loss.",
)
parser.add_argument(
"--lambda_contrast_loss",
type=float,
default=1.0,
help="weight for the contrast loss.",
)
return parser