RealDenseFace / tracker /__init__.py
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from __future__ import annotations
from typing import TYPE_CHECKING
from common.config import (
FaceBoxConfig,
FLAMEConfig,
GNFlameOptimizerConfig,
OnlineGNOptimizerConfig,
RealDenseFaceInferenceConfig,
load_fitting_config,
load_model_config,
)
from common.types import FittingOutput, InferenceOutput
if TYPE_CHECKING:
from .fitting.gn_flame_optimizer import GNFlameOptimizer
from .fitting.online_gn_optimizer import OnlineGNOptimizer
from .inference.realdenseface_inferencer import RealDenseFaceInferencer
from .inference.video_input import VideoInput
_LAZY_IMPORTS = {
"GNFlameOptimizer": (".fitting.gn_flame_optimizer", "GNFlameOptimizer"),
"OnlineGNOptimizer": (".fitting.online_gn_optimizer", "OnlineGNOptimizer"),
"RealDenseFaceInferencer": (
".inference.realdenseface_inferencer",
"RealDenseFaceInferencer",
),
"VideoInput": (".inference.video_input", "VideoInput"),
}
def __getattr__(name: str):
if name not in _LAZY_IMPORTS:
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
module_name, attr_name = _LAZY_IMPORTS[name]
from importlib import import_module
value = getattr(import_module(module_name, __name__), attr_name)
globals()[name] = value
return value
__all__ = [
"FaceBoxConfig",
"FLAMEConfig",
"GNFlameOptimizerConfig",
"OnlineGNOptimizerConfig",
"RealDenseFaceInferenceConfig",
"load_fitting_config",
"load_model_config",
"FittingOutput",
"InferenceOutput",
"GNFlameOptimizer",
"OnlineGNOptimizer",
"RealDenseFaceInferencer",
"VideoInput",
]