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Runtime error
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def load_model(model_path: str, device: str = "cuda", **kwargs):
if kwargs.get("force_ori_type", False):
# for hubert, landmark, retinaface, mediapipe
model = load_force_ori_type(model_path, device, **kwargs)
return model, "ori"
if model_path.endswith(".onnx"):
# onnx
import onnxruntime
if device == "cuda":
providers = ["CUDAExecutionProvider", "CPUExecutionProvider"]
else:
providers = ["CPUExecutionProvider"]
model = onnxruntime.InferenceSession(model_path, providers=providers)
return model, "onnx"
elif model_path.endswith(".engine") or model_path.endswith(".trt"):
# tensorRT
from .tensorrt_utils import TRTWrapper
model = TRTWrapper(model_path)
return model, "tensorrt"
elif model_path.endswith(".pt") or model_path.endswith(".pth"):
# pytorch
model = create_model(model_path, device, **kwargs)
return model, "pytorch"
else:
raise ValueError(f"Unsupported model file type: {model_path}")
def create_model(
model_path: str,
device: str = "cuda",
module_name="",
package_name="..models.modules",
**kwargs,
):
import importlib
# module = getattr(importlib.import_module('..models.modules', __package__), module_name)
module = getattr(importlib.import_module(package_name, __package__), module_name)
# from <package_name> import <module_name>
model = module(**kwargs)
model.load_model(model_path).to(device)
return model
def load_force_ori_type(
model_path: str,
device: str = "cuda",
module_name="",
package_name="..aux_models.modules",
force_ori_type=False,
**kwargs,
):
import importlib
module = getattr(importlib.import_module(package_name, __package__), module_name)
model = module(**kwargs)
return model
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