Setup logger for Anomalib

[yxteo2]

In anomalib 1.0.0, I use from_config to get the engine, datamodule, and model.
But I can put logger there.

I tried this but I still cant use logger, can anyone help me on this?

`# Load YAML configuration
from omegaconf import OmegaConf
from lightning.pytorch import Trainer
from anomalib.utils.config import update_config
from anomalib.engine import Engine
from anomalib.loggers import AnomalibTensorBoardLogger

Load the YAML configuration

config_path = r"C:\anomaly3\model\patchcore.yaml"
config = OmegaConf.load(config_path)
config = update_config(config)

Initialize the logger and trainer

trainer = Trainer(
logger=config.trainer.logger,
max_epochs=config.trainer.max_epochs,
)

logger = AnomalibTensorBoardLogger(
save_dir="C:/YuXuan/anomaly3/tensorboard_logs", # Use this for root directory
name="default",
log_graph=False,
default_hp_metric=True,
prefix=""
)

Initialize the Engine

engine = Engine(logger=logger)

Load model and datamodule

engine, model, datamodule = engine.from_config(config_path)

Train the model

engine.fit(model, datamodule)`