Standardize license headers in Python files (#18696)

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

ultralytics/engine/__init__.py

@@ -1 +1 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license

ultralytics/engine/exporter.py

@@ -1,4 +1,4 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
 """
 Export a YOLO PyTorch model to other formats. TensorFlow exports authored by https://github.com/zldrobit.
 

ultralytics/engine/model.py

@@ -1,4 +1,4 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
 
 import inspect
 from pathlib import Path

ultralytics/engine/predictor.py

@@ -1,4 +1,4 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
 """
 Run prediction on images, videos, directories, globs, YouTube, webcam, streams, etc.
 

ultralytics/engine/results.py

@@ -1,4 +1,4 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
 """
 Ultralytics Results, Boxes and Masks classes for handling inference results.
 

ultralytics/engine/trainer.py

@@ -1,4 +1,4 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
 """
 Train a model on a dataset.
 

ultralytics/engine/tuner.py

@@ -1,4 +1,4 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
 """
 Module provides functionalities for hyperparameter tuning of the Ultralytics YOLO models for object detection, instance
 segmentation, image classification, pose estimation, and multi-object tracking.

ultralytics/engine/validator.py

@@ -1,4 +1,4 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
 """
 Check a model's accuracy on a test or val split of a dataset.