[various] Remove retrieval of "mednet" logger in favour of the modules

src/mednet/libs/classification/models/classification_model.py

@@ -12,7 +12,7 @@ import torch.utils.data
 from mednet.libs.common.data.typing import TransformSequence
 from mednet.libs.common.models.model import Model
 
-logger = logging.getLogger("mednet")
+logger = logging.getLogger(__name__)
 
 
 class ClassificationModel(Model):

src/mednet/libs/segmentation/models/lwnet.py

@@ -25,7 +25,7 @@ from mednet.libs.segmentation.models.losses import MultiWeightedBCELogitsLoss
 
 from .segmentation_model import SegmentationModel
 
-logger = logging.getLogger("mednet")
+logger = logging.getLogger(__name__)
 
 
 def _conv1x1(in_planes, out_planes, stride=1):

src/mednet/libs/segmentation/models/normalizer.py

@@ -11,7 +11,7 @@ import torch.utils.data
 import torchvision.transforms
 import tqdm
 
-logger = logging.getLogger("mednet")
+logger = logging.getLogger(__name__)
 
 
 def make_z_normalizer(

src/mednet/libs/segmentation/models/segmentation_model.py

@@ -13,7 +13,7 @@ from mednet.libs.common.data.typing import TransformSequence
 from mednet.libs.common.models.model import Model
 from mednet.libs.segmentation.models.losses import MultiWeightedBCELogitsLoss
 
-logger = logging.getLogger("mednet")
+logger = logging.getLogger(__name__)
 
 
 class SegmentationModel(Model):