ultralytics 8.1.44 add IS_RASPBERRYPI and constants refactor (#9827)

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

ultralytics/utils/callbacks/hub.py

@@ -12,10 +12,7 @@ def on_pretrain_routine_end(trainer):
     session = getattr(trainer, "hub_session", None)
     if session:
         # Start timer for upload rate limit
-        session.timers = {
-            "metrics": time(),
-            "ckpt": time(),
-        }  # start timer on session.rate_limit
+        session.timers = {"metrics": time(), "ckpt": time()}  # start timer on session.rate_limit
 
 
 def on_fit_epoch_end(trainer):

ultralytics/utils/callbacks/mlflow.py

@@ -58,7 +58,7 @@ def on_pretrain_routine_end(trainer):
         MLFLOW_TRACKING_URI: The URI for MLflow tracking. If not set, defaults to 'runs/mlflow'.
         MLFLOW_EXPERIMENT_NAME: The name of the MLflow experiment. If not set, defaults to trainer.args.project.
         MLFLOW_RUN: The name of the MLflow run. If not set, defaults to trainer.args.name.
-        MLFLOW_KEEP_RUN_ACTIVE: Boolean indicating whether to keep the MLflow run active after the end of the training phase.
+        MLFLOW_KEEP_RUN_ACTIVE: Boolean indicating whether to keep the MLflow run active after the end of training.
     """
     global mlflow
 

ultralytics/utils/callbacks/tensorboard.py

@@ -15,6 +15,7 @@ try:
     # Imports below only required if TensorBoard enabled
     import warnings
     from copy import deepcopy
+
     from ultralytics.utils.torch_utils import de_parallel, torch
 
 except (ImportError, AssertionError, TypeError, AttributeError):