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Running on Zero
File size: 1,656 Bytes
7826761 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | 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",
]
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