Update README.md (#13283)

* Update README.md

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Auto-format by https://ultralytics.com/actions

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

utils/loggers/__init__.py

@@ -349,7 +349,7 @@ class Loggers:
 class GenericLogger:
     """
     YOLOv5 General purpose logger for non-task specific logging
-    Usage: from utils.loggers import GenericLogger; logger = GenericLogger(...)
+    Usage: from utils.loggers import GenericLogger; logger = GenericLogger(...).
 
     Arguments:
         opt:             Run arguments

utils/loggers/clearml/clearml_utils.py

@@ -78,7 +78,7 @@ class ClearmlLogger:
     def __init__(self, opt, hyp):
         """
         - Initialize ClearML Task, this object will capture the experiment
-        - Upload dataset version to ClearML Data if opt.upload_dataset is True
+        - Upload dataset version to ClearML Data if opt.upload_dataset is True.
 
         Arguments:
         opt (namespace) -- Commandline arguments for this run

utils/loggers/wandb/wandb_utils.py

@@ -47,7 +47,7 @@ class WandbLogger:
         """
         - Initialize WandbLogger instance
         - Upload dataset if opt.upload_dataset is True
-        - Setup training processes if job_type is 'Training'
+        - Setup training processes if job_type is 'Training'.
 
         Arguments:
         opt (namespace) -- Commandline arguments for this run
@@ -88,7 +88,7 @@ class WandbLogger:
         Setup the necessary processes for training YOLO models:
           - Attempt to download model checkpoint and dataset artifacts if opt.resume stats with WANDB_ARTIFACT_PREFIX
           - Update data_dict, to contain info of previous run if resumed and the paths of dataset artifact if downloaded
-          - Setup log_dict, initialize bbox_interval
+          - Setup log_dict, initialize bbox_interval.
 
         Arguments:
         opt (namespace) -- commandline arguments for this run