Update YOLOv5 tutorials on docs.ultralytics.com (#11254)
* Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README.zh-CN.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>pull/11113/head^2
Glenn Jocher
GitHub
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README.md
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README.md
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@ -65,7 +65,7 @@ pip install ultralytics
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## <div align="center">Documentation</div>
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See the [YOLOv5 Docs](https://docs.ultralytics.com) for full documentation on training, testing and deployment. See below for quickstart examples.
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See the [YOLOv5 Docs](https://docs.ultralytics.com/yolov5) for full documentation on training, testing and deployment. See below for quickstart examples.
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<details open>
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<summary>Install</summary>
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@ -153,23 +153,22 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml -
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<details open>
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<summary>Tutorials</summary>
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- [Train Custom Data](https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data) 🚀 RECOMMENDED
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- [Tips for Best Training Results](https://github.com/ultralytics/yolov5/wiki/Tips-for-Best-Training-Results) ☘️
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RECOMMENDED
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- [Multi-GPU Training](https://github.com/ultralytics/yolov5/issues/475)
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- [PyTorch Hub](https://github.com/ultralytics/yolov5/issues/36) 🌟 NEW
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- [TFLite, ONNX, CoreML, TensorRT Export](https://github.com/ultralytics/yolov5/issues/251) 🚀
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- [NVIDIA Jetson Nano Deployment](https://github.com/ultralytics/yolov5/issues/9627) 🌟 NEW
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- [Test-Time Augmentation (TTA)](https://github.com/ultralytics/yolov5/issues/303)
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- [Model Ensembling](https://github.com/ultralytics/yolov5/issues/318)
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- [Model Pruning/Sparsity](https://github.com/ultralytics/yolov5/issues/304)
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- [Hyperparameter Evolution](https://github.com/ultralytics/yolov5/issues/607)
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- [Transfer Learning with Frozen Layers](https://github.com/ultralytics/yolov5/issues/1314)
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- [Architecture Summary](https://github.com/ultralytics/yolov5/issues/6998) 🌟 NEW
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- [Roboflow for Datasets, Labeling, and Active Learning](https://github.com/ultralytics/yolov5/issues/4975) 🌟 NEW
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- [ClearML Logging](https://github.com/ultralytics/yolov5/tree/master/utils/loggers/clearml) 🌟 NEW
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- [YOLOv5 with Neural Magic's Deepsparse](https://bit.ly/yolov5-neuralmagic) 🌟 NEW
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- [Comet Logging](https://github.com/ultralytics/yolov5/tree/master/utils/loggers/comet) 🌟 NEW
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- [Train Custom Data](https://docs.ultralytics.com/yolov5/train_custom_data) 🚀 RECOMMENDED
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- [Tips for Best Training Results](https://docs.ultralytics.com/yolov5/tips_for_best_training_results) ☘️ RECOMMENDED
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- [Multi-GPU Training](https://docs.ultralytics.com/yolov5/multi_gpu_training)
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- [PyTorch Hub](https://docs.ultralytics.com/yolov5/pytorch_hub) 🌟 NEW
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- [TFLite, ONNX, CoreML, TensorRT Export](https://docs.ultralytics.com/yolov5/export) 🚀
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- [NVIDIA Jetson platform Deployment](https://docs.ultralytics.com/yolov5/jetson_nano) 🌟 NEW
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- [Test-Time Augmentation (TTA)](https://docs.ultralytics.com/yolov5/tta)
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- [Model Ensembling](https://docs.ultralytics.com/yolov5/ensemble)
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- [Model Pruning/Sparsity](https://docs.ultralytics.com/yolov5/pruning_sparsity)
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- [Hyperparameter Evolution](https://docs.ultralytics.com/yolov5/hyp_evolution)
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- [Transfer Learning with Frozen Layers](https://docs.ultralytics.com/yolov5/transfer_learn_frozen)
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- [Architecture Summary](https://docs.ultralytics.com/yolov5/architecture) 🌟 NEW
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- [Roboflow for Datasets, Labeling, and Active Learning](https://docs.ultralytics.com/yolov5/roboflow)
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- [ClearML Logging](https://docs.ultralytics.com/yolov5/clearml) 🌟 NEW
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- [YOLOv5 with Neural Magic's Deepsparse](https://docs.ultralytics.com/yolov5/neural_magic) 🌟 NEW
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- [Comet Logging](https://docs.ultralytics.com/yolov5/comet) 🌟 NEW
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</details>
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@ -147,22 +147,22 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml -
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<details open>
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<summary>教程</summary>
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- [训练自定义数据](https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data)🚀 推荐
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- [获得最佳训练结果的技巧](https://github.com/ultralytics/yolov5/wiki/Tips-for-Best-Training-Results)☘️ 推荐
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- [多 GPU 训练](https://github.com/ultralytics/yolov5/issues/475)
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- [PyTorch Hub](https://github.com/ultralytics/yolov5/issues/36)🌟 新
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- [TFLite、ONNX、CoreML、TensorRT 导出](https://github.com/ultralytics/yolov5/issues/251)🚀
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- [NVIDIA Jetson Nano 部署](https://github.com/ultralytics/yolov5/issues/9627)🌟 新
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- [测试时数据增强 (TTA)](https://github.com/ultralytics/yolov5/issues/303)
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- [模型集成](https://github.com/ultralytics/yolov5/issues/318)
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- [模型修剪/稀疏度](https://github.com/ultralytics/yolov5/issues/304)
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- [超参数进化](https://github.com/ultralytics/yolov5/issues/607)
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- [使用冻结层进行迁移学习](https://github.com/ultralytics/yolov5/issues/1314)
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- [架构总结](https://github.com/ultralytics/yolov5/issues/6998)🌟 新
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- [用于数据集、标签和主动学习的 Roboflow](https://github.com/ultralytics/yolov5/issues/4975)🌟 新
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- [ClearML 记录](https://github.com/ultralytics/yolov5/tree/master/utils/loggers/clearml)🌟 新
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- [Deci 平台](https://github.com/ultralytics/yolov5/wiki/Deci-Platform)🌟 新
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- [Comet Logging](https://github.com/ultralytics/yolov5/tree/master/utils/loggers/comet)🌟 新
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- [训练自定义数据](https://docs.ultralytics.com/yolov5/train_custom_data) 🚀 推荐
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- [获得最佳训练结果的技巧](https://docs.ultralytics.com/yolov5/tips_for_best_training_results) ☘️ 推荐
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- [多 GPU 训练](https://docs.ultralytics.com/yolov5/multi_gpu_training)
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- [PyTorch Hub](https://docs.ultralytics.com/yolov5/pytorch_hub) 🌟 新
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- [TFLite, ONNX, CoreML, TensorRT 导出](https://docs.ultralytics.com/yolov5/export) 🚀
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- [NVIDIA Jetson 平台部署](https://docs.ultralytics.com/yolov5/jetson_nano) 🌟 新
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- [测试时增强（TTA）](https://docs.ultralytics.com/yolov5/tta)
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- [模型集成](https://docs.ultralytics.com/yolov5/ensemble)
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- [模型剪枝/稀疏性](https://docs.ultralytics.com/yolov5/pruning_sparsity)
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- [超参数进化](https://docs.ultralytics.com/yolov5/hyp_evolution)
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- [冻结层的迁移学习](https://docs.ultralytics.com/yolov5/transfer_learn_frozen)
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- [架构概述](https://docs.ultralytics.com/yolov5/architecture) 🌟 新
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- [Roboflow 用于数据集、标签和主动学习](https://docs.ultralytics.com/yolov5/roboflow)
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- [ClearML 日志记录](https://docs.ultralytics.com/yolov5/clearml) 🌟 新
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- [YOLOv5 与 Neural Magic 的 Deepsparse](https://docs.ultralytics.com/yolov5/neural_magic) 🌟 新
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- [Comet 日志记录](https://docs.ultralytics.com/yolov5/comet) 🌟 新
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</details>
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