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* 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

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* Add license line to .github/workflows/docker.yml

* Add license line to .github/workflows/format.yml

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* Add license line to benchmarks.py

* Add license line to classify/predict.py

* Add license line to classify/train.py

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* Add license line to data/Argoverse.yaml

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* Add license line to data/ImageNet.yaml

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* 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

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* Add license line to data/coco.yaml

* Add license line to data/coco128-seg.yaml

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* 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>
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Ultralytics AssistantandGlenn Jocher authored and GitHub committed 2024-06-08 22:29:29 +02:00
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.github/ISSUE_TEMPLATE/bug-report.yml
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
name: 🐛 Bug Report name: 🐛 Bug Report
# title: " " # title: " "
description: Problems with YOLOv5 description: Problems with YOLOv5
.github/ISSUE_TEMPLATE/config.yml
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
blank_issues_enabled: true blank_issues_enabled: true
contact_links: contact_links:
- name: 📄 Docs - name: 📄 Docs
.github/ISSUE_TEMPLATE/feature-request.yml
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
name: 🚀 Feature Request name: 🚀 Feature Request
description: Suggest a YOLOv5 idea description: Suggest a YOLOv5 idea
# title: " " # title: " "
.github/ISSUE_TEMPLATE/question.yml
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
name: ❓ Question name: ❓ Question
description: Ask a YOLOv5 question description: Ask a YOLOv5 question
# title: " " # title: " "
.github/dependabot.yml
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# Ultralytics YOLO 🚀, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Dependabot for package version updates # Dependabot for package version updates
# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates # https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
.github/workflows/ci-testing.yml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# YOLOv5 Continuous Integration (CI) GitHub Actions tests # YOLOv5 Continuous Integration (CI) GitHub Actions tests
name: YOLOv5 CI name: YOLOv5 CI
.github/workflows/cla.yml
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# Ultralytics YOLO 🚀, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Ultralytics Contributor License Agreement (CLA) action https://docs.ultralytics.com/help/CLA # Ultralytics Contributor License Agreement (CLA) action https://docs.ultralytics.com/help/CLA
# This workflow automatically requests Pull Requests (PR) authors to sign the Ultralytics CLA before PRs can be merged # This workflow automatically requests Pull Requests (PR) authors to sign the Ultralytics CLA before PRs can be merged
.github/workflows/codeql-analysis.yml
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
# This action runs GitHub's industry-leading static analysis engine, CodeQL, against a repository's source code to find security vulnerabilities. # This action runs GitHub's industry-leading static analysis engine, CodeQL, against a repository's source code to find security vulnerabilities.
# https://github.com/github/codeql-action # https://github.com/github/codeql-action
.github/workflows/docker.yml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Builds ultralytics/yolov5:latest images on DockerHub https://hub.docker.com/r/ultralytics/yolov5 # Builds ultralytics/yolov5:latest images on DockerHub https://hub.docker.com/r/ultralytics/yolov5
name: Publish Docker Images name: Publish Docker Images
.github/workflows/format.yml
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# Ultralytics 🚀 - AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Ultralytics Actions https://github.com/ultralytics/actions # Ultralytics Actions https://github.com/ultralytics/actions
# This workflow automatically formats code and documentation in PRs to official Ultralytics standards # This workflow automatically formats code and documentation in PRs to official Ultralytics standards
.github/workflows/greetings.yml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
name: Greetings name: Greetings
.github/workflows/links.yml
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# Ultralytics YOLO 🚀, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Continuous Integration (CI) GitHub Actions tests broken link checker using https://github.com/lycheeverse/lychee # Continuous Integration (CI) GitHub Actions tests broken link checker using https://github.com/lycheeverse/lychee
# Ignores the following status codes to reduce false positives: # Ignores the following status codes to reduce false positives:
# - 403(OpenVINO, 'forbidden') # - 403(OpenVINO, 'forbidden')
.github/workflows/merge-main-into-prs.yml
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# Ultralytics YOLO 🚀, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Automatically merges repository 'main' branch into all open PRs to keep them up-to-date # Automatically merges repository 'main' branch into all open PRs to keep them up-to-date
# Action runs on updates to main branch so when one PR merges to main all others update # Action runs on updates to main branch so when one PR merges to main all others update
.github/workflows/stale.yml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
name: Close stale issues name: Close stale issues
on: on:
benchmarks.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
Run YOLOv5 benchmarks on all supported export formats. Run YOLOv5 benchmarks on all supported export formats.
classify/predict.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
Run YOLOv5 classification inference on images, videos, directories, globs, YouTube, webcam, streams, etc. Run YOLOv5 classification inference on images, videos, directories, globs, YouTube, webcam, streams, etc.
classify/train.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
Train a YOLOv5 classifier model on a classification dataset. Train a YOLOv5 classifier model on a classification dataset.
classify/val.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
Validate a trained YOLOv5 classification model on a classification dataset. Validate a trained YOLOv5 classification model on a classification dataset.
data/Argoverse.yaml
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# 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 # 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 # Example usage: python train.py --data Argoverse.yaml
# parent # parent
data/GlobalWheat2020.yaml
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# 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 # Global Wheat 2020 dataset http://www.global-wheat.com/ by University of Saskatchewan
# Example usage: python train.py --data GlobalWheat2020.yaml # Example usage: python train.py --data GlobalWheat2020.yaml
# parent # parent
data/ImageNet.yaml
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# 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 # ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
# Simplified class names from https://github.com/anishathalye/imagenet-simple-labels # Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
# Example usage: python classify/train.py --data imagenet # Example usage: python classify/train.py --data imagenet
data/ImageNet10.yaml
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# 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 # ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
# Simplified class names from https://github.com/anishathalye/imagenet-simple-labels # Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
# Example usage: python classify/train.py --data imagenet # Example usage: python classify/train.py --data imagenet
data/ImageNet100.yaml
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# 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 # ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
# Simplified class names from https://github.com/anishathalye/imagenet-simple-labels # Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
# Example usage: python classify/train.py --data imagenet # Example usage: python classify/train.py --data imagenet
data/ImageNet1000.yaml
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# 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 # ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
# Simplified class names from https://github.com/anishathalye/imagenet-simple-labels # Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
# Example usage: python classify/train.py --data imagenet # Example usage: python classify/train.py --data imagenet
data/Objects365.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Objects365 dataset https://www.objects365.org/ by Megvii # Objects365 dataset https://www.objects365.org/ by Megvii
# Example usage: python train.py --data Objects365.yaml # Example usage: python train.py --data Objects365.yaml
# parent # parent
data/SKU-110K.yaml
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# 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 # SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19 by Trax Retail
# Example usage: python train.py --data SKU-110K.yaml # Example usage: python train.py --data SKU-110K.yaml
# parent # parent
data/VOC.yaml
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# 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 # PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC by University of Oxford
# Example usage: python train.py --data VOC.yaml # Example usage: python train.py --data VOC.yaml
# parent # parent
data/VisDrone.yaml
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# 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 # VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset by Tianjin University
# Example usage: python train.py --data VisDrone.yaml # Example usage: python train.py --data VisDrone.yaml
# parent # parent
data/coco.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# COCO 2017 dataset http://cocodataset.org by Microsoft # COCO 2017 dataset http://cocodataset.org by Microsoft
# Example usage: python train.py --data coco.yaml # Example usage: python train.py --data coco.yaml
# parent # parent
data/coco128-seg.yaml
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# 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 # 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 # Example usage: python train.py --data coco128.yaml
# parent # parent
data/coco128.yaml
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# 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 # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
# Example usage: python train.py --data coco128.yaml # Example usage: python train.py --data coco128.yaml
# parent # parent
data/hyps/hyp.Objects365.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Hyperparameters for Objects365 training # Hyperparameters for Objects365 training
# python train.py --weights yolov5m.pt --data Objects365.yaml --evolve # python train.py --weights yolov5m.pt --data Objects365.yaml --evolve
# See Hyperparameter Evolution tutorial for details https://github.com/ultralytics/yolov5#tutorials # See Hyperparameter Evolution tutorial for details https://github.com/ultralytics/yolov5#tutorials
data/hyps/hyp.VOC.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Hyperparameters for VOC training # 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 # 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 # See Hyperparameter Evolution tutorial for details https://github.com/ultralytics/yolov5#tutorials
data/hyps/hyp.no-augmentation.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Hyperparameters when using Albumentations frameworks # Hyperparameters when using Albumentations frameworks
# python train.py --hyp hyp.no-augmentation.yaml # python train.py --hyp hyp.no-augmentation.yaml
# See https://github.com/ultralytics/yolov5/pull/3882 for YOLOv5 + Albumentations Usage examples # See https://github.com/ultralytics/yolov5/pull/3882 for YOLOv5 + Albumentations Usage examples
data/hyps/hyp.scratch-high.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Hyperparameters for high-augmentation COCO training from scratch # Hyperparameters for high-augmentation COCO training from scratch
# python train.py --batch 32 --cfg yolov5m6.yaml --weights '' --data coco.yaml --img 1280 --epochs 300 # 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 # See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials
data/hyps/hyp.scratch-low.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Hyperparameters for low-augmentation COCO training from scratch # 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 # 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 # See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials
data/hyps/hyp.scratch-med.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Hyperparameters for medium-augmentation COCO training from scratch # Hyperparameters for medium-augmentation COCO training from scratch
# python train.py --batch 32 --cfg yolov5m6.yaml --weights '' --data coco.yaml --img 1280 --epochs 300 # 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 # See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials
data/xView.yaml
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# 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) # 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! -------- # -------- DOWNLOAD DATA MANUALLY and jar xf val_images.zip to 'datasets/xView' before running train command! --------
# Example usage: python train.py --data xView.yaml # Example usage: python train.py --data xView.yaml
detect.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
Run YOLOv5 detection inference on images, videos, directories, globs, YouTube, webcam, streams, etc. Run YOLOv5 detection inference on images, videos, directories, globs, YouTube, webcam, streams, etc.
export.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
Export a YOLOv5 PyTorch model to other formats. TensorFlow exports authored by https://github.com/zldrobit Export a YOLOv5 PyTorch model to other formats. TensorFlow exports authored by https://github.com/zldrobit
hubconf.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
PyTorch Hub models https://pytorch.org/hub/ultralytics_yolov5 PyTorch Hub models https://pytorch.org/hub/ultralytics_yolov5
models/common.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Common modules.""" """Common modules."""
import ast import ast
models/experimental.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Experimental modules.""" """Experimental modules."""
import math import math
models/hub/anchors.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Default anchors for COCO data # Default anchors for COCO data
# P5 ------------------------------------------------------------------------------------------------------------------- # P5 -------------------------------------------------------------------------------------------------------------------
models/hub/yolov3-spp.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov3-tiny.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov3.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5-bifpn.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5-fpn.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5-p2.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5-p34.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5-p6.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5-p7.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5-panet.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5l6.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5m6.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5n6.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5s-LeakyReLU.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5s-ghost.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5s-transformer.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5s6.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/hub/yolov5x6.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/segment/yolov5l-seg.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/segment/yolov5m-seg.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/segment/yolov5n-seg.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/segment/yolov5s-seg.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/segment/yolov5x-seg.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/tf.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
TensorFlow, Keras and TFLite versions of YOLOv5 TensorFlow, Keras and TFLite versions of YOLOv5
Authored by https://github.com/zldrobit in PR https://github.com/ultralytics/yolov5/pull/1127 Authored by https://github.com/zldrobit in PR https://github.com/ultralytics/yolov5/pull/1127
models/yolo.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
YOLO-specific modules. YOLO-specific modules.
models/yolov5l.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/yolov5m.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/yolov5n.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/yolov5s.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
models/yolov5x.yaml
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Parameters # Parameters
nc: 80 # number of classes nc: 80 # number of classes
pyproject.toml
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# Ultralyticsv5 YOLO 🚀, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Overview: # Overview:
# This pyproject.toml file manages the build, packaging, and distribution of the Ultralytics library. # This pyproject.toml file manages the build, packaging, and distribution of the Ultralytics library.
segment/predict.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
Run YOLOv5 segmentation inference on images, videos, directories, streams, etc. Run YOLOv5 segmentation inference on images, videos, directories, streams, etc.
segment/train.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
Train a YOLOv5 segment model on a segment dataset Models and datasets download automatically from the latest YOLOv5 Train a YOLOv5 segment model on a segment dataset Models and datasets download automatically from the latest YOLOv5
release. release.
segment/val.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
Validate a trained YOLOv5 segment model on a segment dataset. Validate a trained YOLOv5 segment model on a segment dataset.
train.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
""" """
Train a YOLOv5 model on a custom dataset. Models and datasets download automatically from the latest YOLOv5 release. Train a YOLOv5 model on a custom dataset. Models and datasets download automatically from the latest YOLOv5 release.
utils/__init__.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""utils/initialization.""" """utils/initialization."""
import contextlib import contextlib
utils/activations.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Activation functions.""" """Activation functions."""
import torch import torch
utils/augmentations.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Image augmentation functions.""" """Image augmentation functions."""
import math import math
utils/autoanchor.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""AutoAnchor utils.""" """AutoAnchor utils."""
import random import random
utils/autobatch.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Auto-batch utils.""" """Auto-batch utils."""
from copy import deepcopy from copy import deepcopy
utils/aws/resume.py
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Resume all interrupted trainings in yolov5/ dir including DDP trainings # Resume all interrupted trainings in yolov5/ dir including DDP trainings
# Usage: $ python utils/aws/resume.py # Usage: $ python utils/aws/resume.py
utils/callbacks.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Callback utils.""" """Callback utils."""
import threading import threading
utils/dataloaders.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Dataloaders and dataset utils.""" """Dataloaders and dataset utils."""
import contextlib import contextlib
utils/downloads.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Download utils.""" """Download utils."""
import logging import logging
utils/flask_rest_api/example_request.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Perform test request.""" """Perform test request."""
import pprint import pprint
utils/flask_rest_api/restapi.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Run a Flask REST API exposing one or more YOLOv5s models.""" """Run a Flask REST API exposing one or more YOLOv5s models."""
import argparse import argparse
utils/general.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""General utils.""" """General utils."""
import contextlib import contextlib
utils/google_app_engine/app.yaml
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
runtime: custom runtime: custom
env: flex env: flex
utils/loggers/__init__.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Logging utils.""" """Logging utils."""
import json import json
utils/loggers/clearml/clearml_utils.py
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Main Logger class for ClearML experiment tracking.""" """Main Logger class for ClearML experiment tracking."""
import glob import glob
utils/loggers/clearml/hpo.py
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
from clearml import Task from clearml import Task
# Connecting ClearML with the current process, # Connecting ClearML with the current process,
utils/loggers/comet/__init__.py
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
import glob import glob
import json import json
import logging import logging
utils/loggers/comet/comet_utils.py
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
import logging import logging
import os import os
from urllib.parse import urlparse from urllib.parse import urlparse
utils/loggers/comet/hpo.py
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# Ultralytics YOLOv5 🚀, AGPL-3.0 license
import argparse import argparse
import json import json
import logging import logging
utils/loggers/wandb/wandb_utils.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
# WARNING ⚠️ wandb is deprecated and will be removed in future release. # WARNING ⚠️ wandb is deprecated and will be removed in future release.
# See supported integrations at https://github.com/ultralytics/yolov5#integrations # See supported integrations at https://github.com/ultralytics/yolov5#integrations
utils/loss.py
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Loss functions.""" """Loss functions."""
import torch import torch
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