Fix: try 2 - prevent logging config clobbering (#10192)

* fix: try 2 - prevent logging config clobbering

Previous behavior: loading this repository with `torch.hub.load` clobbers the existing logging configuration by modifying the root logger's configuration.
New behavior: loading this repository with `torch.hub.load` only clobbers the logging configuration for logger `yolov5` and its descendants. This is done in a way compatible with Google Colab

Signed-off-by: Ryan Echols <ryan@shadylakemedia.com>

* chore: fill in comment

no-op so a pre-commit hook can auto-format files

Signed-off-by: Ryan Echols <ryan@shadylakemedia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Signed-off-by: Ryan Echols <ryan@shadylakemedia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

utils/general.py

@@ -7,6 +7,7 @@
 import glob
 import inspect
 import logging
+import logging.config
 import math
 import os
 import platform
@@ -111,23 +112,33 @@ def is_writeable(dir, test=False):
         return False
 
 
-def set_logging(name=None, verbose=VERBOSE):
-    # Sets level and returns logger
-    if is_kaggle() or is_colab():
-        for h in logging.root.handlers:
-            logging.root.removeHandler(h)  # remove all handlers associated with the root logger object
-    rank = int(os.getenv('RANK', -1))  # rank in world for Multi-GPU trainings
-    level = logging.INFO if verbose and rank in {-1, 0} else logging.ERROR
-    log = logging.getLogger(name)
-    log.setLevel(level)
-    handler = logging.StreamHandler()
-    handler.setFormatter(logging.Formatter("%(message)s"))
-    handler.setLevel(level)
-    log.addHandler(handler)
+LOGGING_NAME = "yolov5"
 
 
-set_logging()  # run before defining LOGGER
-LOGGER = logging.getLogger("yolov5")  # define globally (used in train.py, val.py, detect.py, etc.)
+def set_logging(name=LOGGING_NAME, verbose=True):
+    # sets up logging for the given name
+    rank = int(os.getenv('RANK', -1))  # rank in world for Multi-GPU trainings
+    level = logging.INFO if verbose and rank in {-1, 0} else logging.ERROR
+    logging.config.dictConfig({
+        "version": 1,
+        "disable_existing_loggers": False,
+        "formatters": {
+            name: {
+                "format": "%(message)s"}},
+        "handlers": {
+            name: {
+                "class": "logging.StreamHandler",
+                "formatter": name,
+                "level": level,}},
+        "loggers": {
+            name: {
+                "level": level,
+                "handlers": [name],
+                "propagate": False,}}})
+
+
+set_logging(LOGGING_NAME)  # run before defining LOGGER
+LOGGER = logging.getLogger(LOGGING_NAME)  # define globally (used in train.py, val.py, detect.py, etc.)
 if platform.system() == 'Windows':
     for fn in LOGGER.info, LOGGER.warning:
         setattr(LOGGER, fn.__name__, lambda x: fn(emojis(x)))  # emoji safe logging