Standardize license headers in TOML/YAML files (#13491)
Refactor code for speed and clarity Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>pull/13493/merge
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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name: 🐛 Bug Report
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# title: " "
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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blank_issues_enabled: true
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contact_links:
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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name: 🚀 Feature Request
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description: Suggest a YOLOv5 idea
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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name: ❓ Question
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description: Ask a YOLOv5 question
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Dependabot for package version updates
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# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# YOLOv5 Continuous Integration (CI) GitHub Actions tests
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name: YOLOv5 CI
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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|
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# Ultralytics Contributor License Agreement (CLA) action https://docs.ultralytics.com/help/CLA
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# This workflow automatically requests Pull Requests (PR) authors to sign the Ultralytics CLA before PRs can be merged
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Builds ultralytics/yolov5:latest images on DockerHub https://hub.docker.com/r/ultralytics/yolov5
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name: Publish Docker Images
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# Ultralytics 🚀 - AGPL-3.0 License https://ultralytics.com/license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Ultralytics Actions https://github.com/ultralytics/actions
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# This workflow automatically formats code and documentation in PRs to official Ultralytics standards
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Continuous Integration (CI) GitHub Actions tests broken link checker using https://github.com/lycheeverse/lychee
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# Ignores the following status codes to reduce false positives:
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# - 403(OpenVINO, 'forbidden')
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Automatically merges repository 'main' branch into all open PRs to keep them up-to-date
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# Action runs on updates to main branch so when one PR merges to main all others update
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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name: Close stale issues
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on:
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/ by Argo AI
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# Example usage: python train.py --data Argoverse.yaml
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# parent
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Global Wheat 2020 dataset http://www.global-wheat.com/ by University of Saskatchewan
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# Example usage: python train.py --data GlobalWheat2020.yaml
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# parent
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
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# Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
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# Example usage: python classify/train.py --data imagenet
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
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# Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
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# Example usage: python classify/train.py --data imagenet
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
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|
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# ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
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# Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
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# Example usage: python classify/train.py --data imagenet
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
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|
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# ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
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# Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
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# Example usage: python classify/train.py --data imagenet
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Objects365 dataset https://www.objects365.org/ by Megvii
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# Example usage: python train.py --data Objects365.yaml
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# parent
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19 by Trax Retail
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# Example usage: python train.py --data SKU-110K.yaml
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# parent
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC by University of Oxford
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# Example usage: python train.py --data VOC.yaml
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# parent
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
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# VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset by Tianjin University
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# Example usage: python train.py --data VisDrone.yaml
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# parent
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# COCO 2017 dataset http://cocodataset.org by Microsoft
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# Example usage: python train.py --data coco.yaml
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# parent
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# COCO128-seg dataset https://www.kaggle.com/datasets/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
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# Example usage: python train.py --data coco128.yaml
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# parent
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# COCO128 dataset https://www.kaggle.com/datasets/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
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# Example usage: python train.py --data coco128.yaml
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# parent
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Hyperparameters for Objects365 training
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# python train.py --weights yolov5m.pt --data Objects365.yaml --evolve
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# See Hyperparameter Evolution tutorial for details https://github.com/ultralytics/yolov5#tutorials
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Hyperparameters for VOC training
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# python train.py --batch 128 --weights yolov5m6.pt --data VOC.yaml --epochs 50 --img 512 --hyp hyp.scratch-med.yaml --evolve
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# See Hyperparameter Evolution tutorial for details https://github.com/ultralytics/yolov5#tutorials
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Hyperparameters when using Albumentations frameworks
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# python train.py --hyp hyp.no-augmentation.yaml
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# See https://github.com/ultralytics/yolov5/pull/3882 for YOLOv5 + Albumentations Usage examples
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Hyperparameters for high-augmentation COCO training from scratch
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# python train.py --batch 32 --cfg yolov5m6.yaml --weights '' --data coco.yaml --img 1280 --epochs 300
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# See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Hyperparameters for low-augmentation COCO training from scratch
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# python train.py --batch 64 --cfg yolov5n6.yaml --weights '' --data coco.yaml --img 640 --epochs 300 --linear
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# See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Hyperparameters for medium-augmentation COCO training from scratch
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# python train.py --batch 32 --cfg yolov5m6.yaml --weights '' --data coco.yaml --img 1280 --epochs 300
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# See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# DIUx xView 2018 Challenge https://challenge.xviewdataset.org by U.S. National Geospatial-Intelligence Agency (NGA)
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# -------- DOWNLOAD DATA MANUALLY and jar xf val_images.zip to 'datasets/xView' before running train command! --------
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# Example usage: python train.py --data xView.yaml
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Default anchors for COCO data
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# P5 -------------------------------------------------------------------------------------------------------------------
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
|
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Parameters
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nc: 80 # number of classes
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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||||
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
||||
|
||||
# Parameters
|
||||
nc: 80 # number of classes
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
|
||||
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
||||
|
||||
# Parameters
|
||||
nc: 80 # number of classes
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
|
||||
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
||||
|
||||
# Parameters
|
||||
nc: 80 # number of classes
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
|
||||
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
||||
|
||||
# Parameters
|
||||
nc: 80 # number of classes
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
|
||||
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
||||
|
||||
# Parameters
|
||||
nc: 80 # number of classes
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
|
||||
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
||||
|
||||
# Parameters
|
||||
nc: 80 # number of classes
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
|
||||
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
||||
|
||||
# Parameters
|
||||
nc: 80 # number of classes
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
|
||||
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
||||
|
||||
# Parameters
|
||||
nc: 80 # number of classes
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
|
||||
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
||||
|
||||
# Overview:
|
||||
# This pyproject.toml file manages the build, packaging, and distribution of the Ultralytics library.
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
|
||||
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
|
||||
|
||||
runtime: custom
|
||||
env: flex
|
||||
|
|
Loading…
Reference in New Issue