Update get_loggers() (#4854)

* Update `set_logging()`

* Update export.py

* pre-commit fixes

* Update LoadImages

* Update LoadStreams

* Update print_args

* Single LOGGER definition

* yolo.py fix

Co-authored-by: pre-commit <pre-commit@example.com>

models/tf.py

@@ -31,11 +31,9 @@ from tensorflow import keras
 from models.common import Bottleneck, BottleneckCSP, Concat, Conv, C3, DWConv, Focus, SPP, SPPF, autopad
 from models.experimental import CrossConv, MixConv2d, attempt_load
 from models.yolo import Detect
-from utils.general import make_divisible, print_args, set_logging
+from utils.general import make_divisible, print_args, LOGGER
 from utils.activations import SiLU
 
-LOGGER = logging.getLogger(__name__)
-
 
 class TFBN(keras.layers.Layer):
     # TensorFlow BatchNormalization wrapper
@@ -336,7 +334,7 @@ class TFModel:
 
         # Define model
         if nc and nc != self.yaml['nc']:
-            print(f"Overriding {cfg} nc={self.yaml['nc']} with nc={nc}")
+            LOGGER.info(f"Overriding {cfg} nc={self.yaml['nc']} with nc={nc}")
             self.yaml['nc'] = nc  # override yaml value
         self.model, self.savelist = parse_model(deepcopy(self.yaml), ch=[ch], model=model, imgsz=imgsz)
 
@@ -457,7 +455,6 @@ def parse_opt():
 
 
 def main(opt):
-    set_logging()
     run(**vars(opt))