Unify logger usage

src/otx/algorithms/action/adapters/mmaction/data/det_dataset.py

@@ -26,7 +26,6 @@
 from mmaction.datasets.ava_dataset import AVADataset
 from mmaction.datasets.builder import DATASETS
 from mmaction.datasets.pipelines import Compose
-from mmaction.utils import get_root_logger
 from mmcv.utils import print_log
 
 from otx.algorithms.action.adapters.mmaction.data.pipelines import RawFrameDecode
@@ -36,8 +35,9 @@
 from otx.api.entities.label import LabelEntity
 from otx.api.entities.metadata import VideoMetadata
 from otx.api.utils.shape_factory import ShapeFactory
+from otx.utils.logger import get_logger
 
-root_logger = get_root_logger()
+root_logger = get_logger()
 
 
 # pylint: disable=too-many-instance-attributes, too-many-arguments, too-many-locals, super-init-not-called

src/otx/algorithms/action/adapters/mmaction/task.py

@@ -57,7 +57,6 @@
 from otx.algorithms.common.configs.configuration_enums import BatchSizeAdaptType
 from otx.algorithms.common.utils import append_dist_rank_suffix
 from otx.algorithms.common.utils.data import get_dataset
-from otx.algorithms.common.utils.logger import get_logger
 from otx.api.entities.datasets import DatasetEntity
 from otx.api.entities.inference_parameters import InferenceParameters
 from otx.api.entities.model import ModelPrecision
@@ -66,6 +65,7 @@
 from otx.api.entities.task_environment import TaskEnvironment
 from otx.api.usecases.tasks.interfaces.export_interface import ExportType
 from otx.core.data import caching
+from otx.utils.logger import get_logger
 
 logger = get_logger()
 

src/otx/algorithms/action/adapters/mmaction/utils/det_eval_utils.py

@@ -14,7 +14,6 @@
 # See the License for the specific language governing permissions
 # and limitations under the License.
 
-import logging
 import time
 from collections import defaultdict
 
@@ -25,6 +24,10 @@
 from mmaction.core.evaluation.ava_evaluation import standard_fields
 from mmaction.core.evaluation.ava_utils import print_time, read_exclusions
 
+from otx.utils.logger import get_logger
+
+logger = get_logger()
+
 
 # pylint: disable=too-many-locals, too-many-branches
 def det_eval(predictions, result_type, labels, video_infos, exclude_file, verbose=True, custom_classes=None):
@@ -62,7 +65,7 @@ def det_eval(predictions, result_type, labels, video_infos, exclude_file, verbos
     start = time.time()
     for image_key in gt_boxes:
         if verbose and image_key in excluded_keys:
-            logging.info("Found excluded timestamp in detections: %s. It will be ignored.", image_key)
+            logger.info("Found excluded timestamp in detections: %s. It will be ignored.", image_key)
             continue
         pascal_evaluator.add_single_ground_truth_image_info(
             image_key,
@@ -77,7 +80,7 @@ def det_eval(predictions, result_type, labels, video_infos, exclude_file, verbos
     start = time.time()
     for image_key in boxes:
         if verbose and image_key in excluded_keys:
-            logging.info("Found excluded timestamp in detections: %s. It will be ignored.", image_key)
+            logger.info("Found excluded timestamp in detections: %s. It will be ignored.", image_key)
             continue
         pascal_evaluator.add_single_detected_image_info(
             image_key,

src/otx/algorithms/action/adapters/openvino/task.py

@@ -16,7 +16,6 @@
 
 import io
 import json
-import logging
 import os
 import random
 import tempfile
@@ -72,8 +71,9 @@
     IOptimizationTask,
     OptimizationType,
 )
+from otx.utils.logger import get_logger
 
-logger = logging.getLogger(__name__)
+logger = get_logger()
 
 
 # TODO: refactoring to Sphinx style.

src/otx/algorithms/action/task.py

@@ -29,7 +29,6 @@
     InferenceProgressCallback,
     TrainingProgressCallback,
 )
-from otx.algorithms.common.utils.logger import get_logger
 from otx.api.configuration import cfg_helper
 from otx.api.configuration.helper.utils import config_to_bytes, ids_to_strings
 from otx.api.entities.annotation import Annotation
@@ -66,6 +65,7 @@
 from otx.api.usecases.tasks.interfaces.export_interface import ExportType
 from otx.api.utils.vis_utils import get_actmap
 from otx.cli.utils.multi_gpu import is_multigpu_child_process
+from otx.utils.logger import get_logger
 
 logger = get_logger()
 

src/otx/algorithms/action/tools/sample_classification.py

@@ -22,8 +22,6 @@
 
 os.environ["FEATURE_FLAGS_OTX_ACTION_TASKS"] = "1"
 
-from mmcv.utils import get_logger
-
 from otx.algorithms.common.utils import get_task_class
 from otx.api.configuration.helper import create
 from otx.api.entities.inference_parameters import InferenceParameters
@@ -36,8 +34,9 @@
 from otx.api.usecases.tasks.interfaces.export_interface import ExportType
 from otx.api.usecases.tasks.interfaces.optimization_interface import OptimizationType
 from otx.core.data.adapter import get_dataset_adapter
+from otx.utils.logger import get_logger
 
-logger = get_logger(name="sample")
+logger = get_logger()
 
 
 def parse_args():

src/otx/algorithms/action/tools/sample_detection.py

@@ -22,8 +22,6 @@
 
 os.environ["FEATURE_FLAGS_OTX_ACTION_TASKS"] = "1"
 
-from mmcv.utils import get_logger
-
 from otx.algorithms.common.utils import get_task_class
 from otx.api.configuration.helper import create
 from otx.api.entities.inference_parameters import InferenceParameters
@@ -34,8 +32,9 @@
 from otx.api.entities.task_environment import TaskEnvironment
 from otx.api.usecases.tasks.interfaces.export_interface import ExportType
 from otx.core.data.adapter import get_dataset_adapter
+from otx.utils.logger import get_logger
 
-logger = get_logger(name="sample")
+logger = get_logger()
 
 
 def parse_args():

src/otx/algorithms/anomaly/adapters/anomalib/callbacks/inference.py

@@ -23,7 +23,6 @@
 from pytorch_lightning.callbacks import Callback
 from torch import Tensor
 
-from otx.algorithms.anomaly.adapters.anomalib.logger import get_logger
 from otx.api.entities.annotation import Annotation
 from otx.api.entities.datasets import DatasetEntity
 from otx.api.entities.label import LabelEntity
@@ -32,8 +31,9 @@
 from otx.api.entities.scored_label import ScoredLabel
 from otx.api.entities.shapes.rectangle import Rectangle
 from otx.api.utils.segmentation_utils import create_annotation_from_segmentation_map
+from otx.utils.logger import get_logger
 
-logger = get_logger(__name__)
+logger = get_logger()
 
 
 class AnomalyInferenceCallback(Callback):

src/otx/algorithms/anomaly/adapters/anomalib/data/data.py

@@ -25,7 +25,6 @@
 from torch import Tensor
 from torch.utils.data import DataLoader, Dataset
 
-from otx.algorithms.anomaly.adapters.anomalib.logger import get_logger
 from otx.api.entities.datasets import DatasetEntity
 from otx.api.entities.model_template import TaskType
 from otx.api.entities.shapes.polygon import Polygon
@@ -36,8 +35,9 @@
     split_local_global_dataset,
 )
 from otx.api.utils.segmentation_utils import mask_from_dataset_item
+from otx.utils.logger import get_logger
 
-logger = get_logger(__name__)
+logger = get_logger()
 
 
 class OTXAnomalyDataset(Dataset):

src/otx/algorithms/anomaly/tasks/inference.py

@@ -43,7 +43,6 @@
 )
 from otx.algorithms.anomaly.adapters.anomalib.config import get_anomalib_config
 from otx.algorithms.anomaly.adapters.anomalib.data import OTXAnomalyDataModule
-from otx.algorithms.anomaly.adapters.anomalib.logger import get_logger
 from otx.algorithms.anomaly.configs.base.configuration import BaseAnomalyConfig
 from otx.algorithms.common.utils import embed_ir_model_data
 from otx.algorithms.common.utils.utils import embed_onnx_model_data
@@ -69,8 +68,9 @@
 from otx.api.usecases.tasks.interfaces.export_interface import ExportType, IExportTask
 from otx.api.usecases.tasks.interfaces.inference_interface import IInferenceTask
 from otx.api.usecases.tasks.interfaces.unload_interface import IUnload
+from otx.utils.logger import get_logger
 
-logger = get_logger(__name__)
+logger = get_logger()
 
 
 # pylint: disable=too-many-instance-attributes

src/otx/algorithms/anomaly/tasks/nncf.py

@@ -41,7 +41,6 @@
 
 from otx.algorithms.anomaly.adapters.anomalib.callbacks import ProgressCallback
 from otx.algorithms.anomaly.adapters.anomalib.data import OTXAnomalyDataModule
-from otx.algorithms.anomaly.adapters.anomalib.logger import get_logger
 from otx.api.entities.datasets import DatasetEntity
 from otx.api.entities.model import (
     ModelEntity,
@@ -56,10 +55,11 @@
     IOptimizationTask,
     OptimizationType,
 )
+from otx.utils.logger import get_logger
 
 from .inference import InferenceTask
 
-logger = get_logger(__name__)
+logger = get_logger()
 
 
 class NNCFTask(InferenceTask, IOptimizationTask):

src/otx/algorithms/anomaly/tasks/openvino.py

@@ -32,7 +32,6 @@
 from openvino.model_api.models import AnomalyDetection, AnomalyResult
 
 from otx.algorithms.anomaly.adapters.anomalib.config import get_anomalib_config
-from otx.algorithms.anomaly.adapters.anomalib.logger import get_logger
 from otx.algorithms.anomaly.configs.base.configuration import BaseAnomalyConfig
 from otx.algorithms.common.utils import embed_ir_model_data
 from otx.algorithms.common.utils.ir import check_if_quantized
@@ -71,8 +70,9 @@
 )
 from otx.api.utils.anomaly_utils import create_detection_annotation_from_anomaly_heatmap
 from otx.api.utils.segmentation_utils import create_annotation_from_segmentation_map
+from otx.utils.logger import get_logger
 
-logger = get_logger(__name__)
+logger = get_logger()
 
 
 class OTXNNCFAnomalyDataloader:

src/otx/algorithms/anomaly/tasks/train.py

@@ -29,15 +29,15 @@
 
 from otx.algorithms.anomaly.adapters.anomalib.callbacks import ProgressCallback
 from otx.algorithms.anomaly.adapters.anomalib.data import OTXAnomalyDataModule
-from otx.algorithms.anomaly.adapters.anomalib.logger import get_logger
 from otx.api.entities.datasets import DatasetEntity
 from otx.api.entities.model import ModelEntity
 from otx.api.entities.train_parameters import TrainParameters
 from otx.api.usecases.tasks.interfaces.training_interface import ITrainingTask
+from otx.utils.logger import get_logger
 
 from .inference import InferenceTask
 
-logger = get_logger(__name__)
+logger = get_logger()
 
 
 class TrainingTask(InferenceTask, ITrainingTask):

src/otx/algorithms/anomaly/tools/sample.py

@@ -29,7 +29,6 @@
     AnomalyDetectionDataset,
     AnomalySegmentationDataset,
 )
-from otx.algorithms.anomaly.adapters.anomalib.logger import get_logger
 from otx.algorithms.anomaly.tasks import NNCFTask, OpenVINOTask
 from otx.api.configuration.helper import create as create_hyper_parameters
 from otx.api.entities.inference_parameters import InferenceParameters
@@ -46,8 +45,9 @@
 from otx.api.usecases.tasks.interfaces.export_interface import ExportType
 from otx.api.usecases.tasks.interfaces.inference_interface import IInferenceTask
 from otx.api.usecases.tasks.interfaces.optimization_interface import OptimizationType
+from otx.utils.logger import get_logger
 
-logger = get_logger(__name__)
+logger = get_logger()
 
 
 # pylint: disable=too-many-instance-attributes

src/otx/algorithms/classification/adapters/mmcls/configurer.py

@@ -22,7 +22,7 @@
     recursively_update_cfg,
     update_or_add_custom_hook,
 )
-from otx.algorithms.common.utils.logger import get_logger
+from otx.utils.logger import get_logger
 
 logger = get_logger()
 

src/otx/algorithms/classification/adapters/mmcls/datasets/otx_datasets.py

@@ -18,10 +18,10 @@
 from torch.utils.data import Dataset
 
 from otx.algorithms.common.utils import get_cls_img_indices, get_old_new_img_indices
-from otx.algorithms.common.utils.logger import get_logger
 from otx.api.entities.datasets import DatasetEntity
 from otx.api.entities.id import ID
 from otx.api.entities.label import LabelEntity
+from otx.utils.logger import get_logger
 
 logger = get_logger()
 

src/otx/algorithms/classification/adapters/mmcls/models/classifiers/byol.py

@@ -18,7 +18,7 @@
 from mmcls.models.builder import CLASSIFIERS, build_backbone, build_head, build_neck
 from torch import nn
 
-from otx.algorithms.common.utils.logger import get_logger
+from otx.utils.logger import get_logger
 
 logger = get_logger()