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176 lines
5.2 KiB
176 lines
5.2 KiB
# Ultralytics YOLO 🚀, AGPL-3.0 license
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site_name: YOLOv8 Docs
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repo_url: https://github.com/ultralytics/ultralytics
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edit_uri: https://github.com/ultralytics/ultralytics/tree/main/docs
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repo_name: ultralytics/ultralytics
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remote_name: https://github.com/ultralytics/docs
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theme:
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name: "material"
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logo: https://github.com/ultralytics/assets/raw/main/logo/Ultralytics_Logotype_Reverse.svg
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favicon: assets/favicon.ico
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font:
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text: Roboto
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code: Roboto Mono
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palette:
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# Palette toggle for light mode
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- scheme: default
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# primary: grey
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toggle:
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icon: material/brightness-7
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name: Switch to dark mode
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# Palette toggle for dark mode
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- scheme: slate
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# primary: black
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toggle:
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icon: material/brightness-4
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name: Switch to light mode
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features:
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- content.action.edit
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- content.code.annotate
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- content.code.copy
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- content.tooltips
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- search.highlight
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- search.share
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- search.suggest
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- toc.follow
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- navigation.top
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- navigation.expand
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- navigation.footer
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- navigation.tracking
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- navigation.instant
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- navigation.indexes
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- content.tabs.link # all code tabs change simultaneously
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# Customization
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copyright: <a href="https://ultralytics.com" target="_blank">Ultralytics 2023.</a> All rights reserved.
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extra:
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# version:
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# provider: mike # version drop-down menu
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analytics:
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provider: google
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property: G-2M5EHKC0BH
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feedback:
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title: Was this page helpful?
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ratings:
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- icon: material/heart
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name: This page was helpful
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data: 1
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note: Thanks for your feedback!
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- icon: material/heart-broken
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name: This page could be improved
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data: 0
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note: >-
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Thanks for your feedback!<br>
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<a href="https://github.com/ultralytics/ultralytics/issues/new?title=Docs+Feedback+for+{title}+page+at+https://docs.ultralytics.com/{url}&labels=enhancement&template=feature-request.yml" target="_blank" rel="noopener">Tell us what we can improve.</a>
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social:
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- icon: fontawesome/brands/github
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link: https://github.com/ultralytics
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- icon: fontawesome/brands/linkedin
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link: https://www.linkedin.com/company/ultralytics/
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- icon: fontawesome/brands/twitter
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link: https://twitter.com/ultralytics
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- icon: fontawesome/brands/youtube
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link: https://www.youtube.com/ultralytics
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- icon: fontawesome/brands/docker
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link: https://hub.docker.com/r/ultralytics/ultralytics/
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- icon: fontawesome/brands/python
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link: https://pypi.org/project/ultralytics/
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extra_css:
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- stylesheets/style.css
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markdown_extensions:
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# Div text decorators
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- admonition
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- md_in_html
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- pymdownx.details
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- pymdownx.superfences
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- tables
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- attr_list
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- def_list
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# Syntax highlight
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- pymdownx.highlight:
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anchor_linenums: true
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- pymdownx.inlinehilite
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- pymdownx.snippets
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- pymdownx.emoji:
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emoji_index: !!python/name:materialx.emoji.twemoji # noqa
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emoji_generator: !!python/name:materialx.emoji.to_svg
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# Content tabs
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- pymdownx.tabbed:
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alternate_style: true
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# Highlight
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- pymdownx.critic
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- pymdownx.caret
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- pymdownx.keys
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- pymdownx.mark
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- pymdownx.tilde
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plugins:
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- mkdocstrings
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- search
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# Primary navigation
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nav:
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- Home: index.md
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- Quickstart: quickstart.md
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- Modes:
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- modes/index.md
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- Train: modes/train.md
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- Val: modes/val.md
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- Predict: modes/predict.md
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- Export: modes/export.md
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- Track: modes/track.md
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- Benchmark: modes/benchmark.md
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- Tasks:
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- tasks/index.md
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- Detect: tasks/detect.md
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- Segment: tasks/segment.md
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- Classify: tasks/classify.md
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- Pose: tasks/pose.md
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- Usage:
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- CLI: usage/cli.md
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- Python: usage/python.md
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- Callbacks: usage/callbacks.md
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- Configuration: usage/cfg.md
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- Advanced Customization: usage/engine.md
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- Ultralytics HUB: hub.md
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- iOS and Android App: app.md
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- Reference:
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- Engine:
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- Model: reference/model.md
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- Trainer: reference/base_trainer.md
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- Validator: reference/base_val.md
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- Predictor: reference/base_pred.md
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- Exporter: reference/exporter.md
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- Results: reference/results.md
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- ultralytics.nn: reference/nn.md
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- Operations: reference/ops.md
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- YOLOv5:
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- yolov5/index.md
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- Train Custom Data: yolov5/train_custom_data.md
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- Tips for Best Training Results: yolov5/tips_for_best_training_results.md
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- Multi-GPU Training: yolov5/multi_gpu_training.md
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- PyTorch Hub: yolov5/pytorch_hub.md
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- TFLite, ONNX, CoreML, TensorRT Export: yolov5/export.md
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- NVIDIA Jetson Nano Deployment: yolov5/jetson_nano.md
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- Test-Time Augmentation (TTA): yolov5/tta.md
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- Model Ensembling: yolov5/ensemble.md
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- Pruning/Sparsity Tutorial: yolov5/pruning_sparsity.md
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- Hyperparameter evolution: yolov5/hyp_evolution.md
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- Transfer learning with frozen layers: yolov5/transfer_learn_frozen.md
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- Architecture Summary: yolov5/architecture.md
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- Roboflow Datasets: yolov5/roboflow.md
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- Neural Magic's DeepSparse: yolov5/neural_magic.md
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- Comet Logging: yolov5/comet.md
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- Clearml Logging: yolov5/clearml.md
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- Security: SECURITY.md
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