Update header line in Python files (#13072)

* Add license line to .github/ISSUE_TEMPLATE/bug-report.yml * Add license line to .github/ISSUE_TEMPLATE/config.yml * Add license line to .github/ISSUE_TEMPLATE/feature-request.yml * Add license line to .github/ISSUE_TEMPLATE/question.yml * Add license line to .github/dependabot.yml * Add license line to .github/workflows/ci-testing.yml * Add license line to .github/workflows/cla.yml * Add license line to .github/workflows/codeql-analysis.yml * Add license line to .github/workflows/docker.yml * Add license line to .github/workflows/format.yml * Add license line to .github/workflows/greetings.yml * Add license line to .github/workflows/links.yml * Add license line to .github/workflows/merge-main-into-prs.yml * Add license line to .github/workflows/stale.yml * Add license line to benchmarks.py * Add license line to classify/predict.py * Add license line to classify/train.py * Add license line to classify/val.py * Add license line to data/Argoverse.yaml * Add license line to data/GlobalWheat2020.yaml * Add license line to data/ImageNet.yaml * Add license line to data/ImageNet10.yaml * Add license line to data/ImageNet100.yaml * Add license line to data/ImageNet1000.yaml * Add license line to data/Objects365.yaml * Add license line to data/SKU-110K.yaml * Add license line to data/VOC.yaml * Add license line to data/VisDrone.yaml * Add license line to data/coco.yaml * Add license line to data/coco128-seg.yaml * Add license line to data/coco128.yaml * Add license line to data/hyps/hyp.Objects365.yaml * Add license line to data/hyps/hyp.VOC.yaml * Add license line to data/hyps/hyp.no-augmentation.yaml * Add license line to data/hyps/hyp.scratch-high.yaml * Add license line to data/hyps/hyp.scratch-low.yaml * Add license line to data/hyps/hyp.scratch-med.yaml * Add license line to data/xView.yaml * Add license line to detect.py * Add license line to export.py * Add license line to hubconf.py * Add license line to models/common.py * Add license line to models/experimental.py * Add license line to models/hub/anchors.yaml * Add license line to models/hub/yolov3-spp.yaml * Add license line to models/hub/yolov3-tiny.yaml * Add license line to models/hub/yolov3.yaml * Add license line to models/hub/yolov5-bifpn.yaml * Add license line to models/hub/yolov5-fpn.yaml * Add license line to models/hub/yolov5-p2.yaml * Add license line to models/hub/yolov5-p34.yaml * Add license line to models/hub/yolov5-p6.yaml * Add license line to models/hub/yolov5-p7.yaml * Add license line to models/hub/yolov5-panet.yaml * Add license line to models/hub/yolov5l6.yaml * Add license line to models/hub/yolov5m6.yaml * Add license line to models/hub/yolov5n6.yaml * Add license line to models/hub/yolov5s-LeakyReLU.yaml * Add license line to models/hub/yolov5s-ghost.yaml * Add license line to models/hub/yolov5s-transformer.yaml * Add license line to models/hub/yolov5s6.yaml * Add license line to models/hub/yolov5x6.yaml * Add license line to models/segment/yolov5l-seg.yaml * Add license line to models/segment/yolov5m-seg.yaml * Add license line to models/segment/yolov5n-seg.yaml * Add license line to models/segment/yolov5s-seg.yaml * Add license line to models/segment/yolov5x-seg.yaml * Add license line to models/tf.py * Add license line to models/yolo.py * Add license line to models/yolov5l.yaml * Add license line to models/yolov5m.yaml * Add license line to models/yolov5n.yaml * Add license line to models/yolov5s.yaml * Add license line to models/yolov5x.yaml * Add license line to pyproject.toml * Add license line to segment/predict.py * Add license line to segment/train.py * Add license line to segment/val.py * Add license line to train.py * Add license line to utils/__init__.py * Add license line to utils/activations.py * Add license line to utils/augmentations.py * Add license line to utils/autoanchor.py * Add license line to utils/autobatch.py * Add license line to utils/aws/resume.py * Add license line to utils/callbacks.py * Add license line to utils/dataloaders.py * Add license line to utils/downloads.py * Add license line to utils/flask_rest_api/example_request.py * Add license line to utils/flask_rest_api/restapi.py * Add license line to utils/general.py * Add license line to utils/google_app_engine/app.yaml * Add license line to utils/loggers/__init__.py * Add license line to utils/loggers/clearml/clearml_utils.py * Add license line to utils/loggers/clearml/hpo.py * Add license line to utils/loggers/comet/__init__.py * Add license line to utils/loggers/comet/comet_utils.py * Add license line to utils/loggers/comet/hpo.py * Add license line to utils/loggers/wandb/wandb_utils.py * Add license line to utils/loss.py * Add license line to utils/metrics.py * Add license line to utils/plots.py * Add license line to utils/segment/augmentations.py * Add license line to utils/segment/dataloaders.py * Add license line to utils/segment/general.py * Add license line to utils/segment/loss.py * Add license line to utils/segment/metrics.py * Add license line to utils/segment/plots.py * Add license line to utils/torch_utils.py * Add license line to utils/triton.py * Add license line to val.py * Auto-format by https://ultralytics.com/actions * Update ImageNet1000.yaml 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: Glenn Jocher <glenn.jocher@ultralytics.com>
2024-06-08 22:29:29 +02:00
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commit 3ec95f9e3d
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/ by Argo AI
 # Example usage: python train.py --data Argoverse.yaml
 # parent
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # Global Wheat 2020 dataset http://www.global-wheat.com/ by University of Saskatchewan
 # Example usage: python train.py --data GlobalWheat2020.yaml
 # parent
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
 # Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
 # Example usage: python classify/train.py --data imagenet
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
 # Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
 # Example usage: python classify/train.py --data imagenet
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
 # Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
 # Example usage: python classify/train.py --data imagenet
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
 # Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
 # Example usage: python classify/train.py --data imagenet
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # Objects365 dataset https://www.objects365.org/ by Megvii
 # Example usage: python train.py --data Objects365.yaml
 # parent
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19 by Trax Retail
 # Example usage: python train.py --data SKU-110K.yaml
 # parent
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC by University of Oxford
 # Example usage: python train.py --data VOC.yaml
 # parent
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset by Tianjin University
 # Example usage: python train.py --data VisDrone.yaml
 # parent
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # COCO 2017 dataset http://cocodataset.org by Microsoft
 # Example usage: python train.py --data coco.yaml
 # parent
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # COCO128-seg dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
 # Example usage: python train.py --data coco128.yaml
 # parent
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
 # Example usage: python train.py --data coco128.yaml
 # parent
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # Hyperparameters for Objects365 training
 # python train.py --weights yolov5m.pt --data Objects365.yaml --evolve
 # See Hyperparameter Evolution tutorial for details https://github.com/ultralytics/yolov5#tutorials
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # Hyperparameters for VOC training
 # python train.py --batch 128 --weights yolov5m6.pt --data VOC.yaml --epochs 50 --img 512 --hyp hyp.scratch-med.yaml --evolve
 # See Hyperparameter Evolution tutorial for details https://github.com/ultralytics/yolov5#tutorials
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # Hyperparameters when using Albumentations frameworks
 # python train.py --hyp hyp.no-augmentation.yaml
 # See https://github.com/ultralytics/yolov5/pull/3882 for YOLOv5 + Albumentations Usage examples
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # Hyperparameters for high-augmentation COCO training from scratch
 # python train.py --batch 32 --cfg yolov5m6.yaml --weights '' --data coco.yaml --img 1280 --epochs 300
 # See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # Hyperparameters for low-augmentation COCO training from scratch
 # python train.py --batch 64 --cfg yolov5n6.yaml --weights '' --data coco.yaml --img 640 --epochs 300 --linear
 # See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # Hyperparameters for medium-augmentation COCO training from scratch
 # python train.py --batch 32 --cfg yolov5m6.yaml --weights '' --data coco.yaml --img 1280 --epochs 300
 # See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials
@@ -1,4 +1,4 @@
-# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+# Ultralytics YOLOv5 🚀, AGPL-3.0 license
 # DIUx xView 2018 Challenge https://challenge.xviewdataset.org by U.S. National Geospatial-Intelligence Agency (NGA)
 # --------  DOWNLOAD DATA MANUALLY and jar xf val_images.zip to 'datasets/xView' before running train command!  --------
 # Example usage: python train.py --data xView.yaml