ultralytics 8.3.245 2026 Docs footer and System metrics updates (#23095)

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

mkdocs.yml

@@ -70,7 +70,7 @@ theme:
     # - search.suggest
 
 # Customization
-copyright: <a href="https://www.ultralytics.com/" target="_blank">© 2025 Ultralytics Inc.</a> All rights reserved.
+copyright: <a href="https://www.ultralytics.com/" target="_blank">© 2026 Ultralytics Inc.</a> All rights reserved.
 extra: # version:
   homepage: https://www.ultralytics.com/
   #   provider: mike # version drop-down menu

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
 
-__version__ = "8.3.244"
+__version__ = "8.3.245"
 
 import importlib
 import os

ultralytics/utils/callbacks/platform.py

@@ -90,11 +90,18 @@ def _upload_model_async(model_path, project, name):
 
 def _get_environment_info():
     """Collect comprehensive environment info using existing ultralytics utilities."""
+    import shutil
+
+    import psutil
     import torch
 
     from ultralytics import __version__
     from ultralytics.utils.torch_utils import get_cpu_info, get_gpu_info
 
+    # Get RAM and disk totals
+    memory = psutil.virtual_memory()
+    disk_usage = shutil.disk_usage("/")
+
     env = {
         "ultralyticsVersion": __version__,
         "hostname": socket.gethostname(),
@@ -105,6 +112,8 @@ def _get_environment_info():
         "cpuCount": os.cpu_count() or 0,
         "cpu": get_cpu_info(),
         "command": " ".join(sys.argv),
+        "totalRamGb": round(memory.total / (1 << 30), 1),  # Total RAM in GB
+        "totalDiskGb": round(disk_usage.total / (1 << 30), 1),  # Total disk in GB
     }
 
     # Git info using cached GIT singleton (no subprocess calls)
@@ -258,7 +267,9 @@ def on_train_end(trainer):
 
     # Upload best model (blocking to ensure it completes)
     model_path = None
+    model_size = None
     if trainer.best and Path(trainer.best).exists():
+        model_size = Path(trainer.best).stat().st_size
         model_path = _upload_model(trainer.best, project, name)
 
     # Send training complete
@@ -270,6 +281,7 @@ def on_train_end(trainer):
                 "bestEpoch": getattr(trainer, "best_epoch", trainer.epoch),
                 "bestFitness": trainer.best_fitness,
                 "modelPath": model_path or str(trainer.best) if trainer.best else None,
+                "modelSize": model_size,
             }
         },
         project,