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ultralytics 8.0.93 HUB docs and JSON2YOLO converter (#2431)

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Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: 李际朝 <tubkninght@gmail.com>
Co-authored-by: Danny Kim <imbird0312@gmail.com>
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Glenn Jocher 2023-05-06 01:12:43 +02:00 • committed by GitHub
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mkdocs.yml
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@ -140,12 +140,6 @@ nav:
- Segment: tasks/segment.md
- Classify: tasks/classify.md
- Pose: tasks/pose.md
- Models:
- models/index.md
- YOLOv3: models/yolov3.md
- YOLOv5: models/yolov5.md
- YOLOv8: models/yolov8.md
- Segment Anything Model (SAM): models/sam.md
- Quickstart: quickstart.md
- Modes:
- modes/index.md
@ -161,14 +155,54 @@ nav:
- Segment: tasks/segment.md
- Classify: tasks/classify.md
- Pose: tasks/pose.md
- Models:
- models/index.md
- YOLOv3: models/yolov3.md
- YOLOv5: models/yolov5.md
- YOLOv8: models/yolov8.md
- Segment Anything Model (SAM): models/sam.md
- Usage:
- CLI: usage/cli.md
- Python: usage/python.md
- Callbacks: usage/callbacks.md
- Configuration: usage/cfg.md
- Advanced Customization: usage/engine.md
- Ultralytics HUB: hub.md
- iOS and Android App: app.md
- YOLOv5:
- yolov5/index.md
- Quickstart: yolov5/quickstart_tutorial.md
- Environments:
- Amazon Web Services (AWS): yolov5/environments/aws_quickstart_tutorial.md
- Google Cloud (GCP): yolov5/environments/google_cloud_quickstart_tutorial.md
- Docker Image: yolov5/environments/docker_image_quickstart_tutorial.md
- Tutorials:
- Train Custom Data: yolov5/tutorials/train_custom_data.md
- Tips for Best Training Results: yolov5/tutorials/tips_for_best_training_results.md
- Multi-GPU Training: yolov5/tutorials/multi_gpu_training.md
- PyTorch Hub: yolov5/tutorials/pytorch_hub_model_loading.md
- TFLite, ONNX, CoreML, TensorRT Export: yolov5/tutorials/model_export.md
- NVIDIA Jetson Nano Deployment: yolov5/tutorials/running_on_jetson_nano.md
- Test-Time Augmentation (TTA): yolov5/tutorials/test_time_augmentation.md
- Model Ensembling: yolov5/tutorials/model_ensembling.md
- Pruning/Sparsity Tutorial: yolov5/tutorials/model_pruning_and_sparsity.md
- Hyperparameter evolution: yolov5/tutorials/hyperparameter_evolution.md
- Transfer learning with frozen layers: yolov5/tutorials/transfer_learning_with_frozen_layers.md
- Architecture Summary: yolov5/tutorials/architecture_description.md
- Roboflow Datasets: yolov5/tutorials/roboflow_datasets_integration.md
- Neural Magic's DeepSparse: yolov5/tutorials/neural_magic_pruning_quantization.md
- Comet Logging: yolov5/tutorials/comet_logging_integration.md
- Clearml Logging: yolov5/tutorials/clearml_logging_integration.md
- Ultralytics HUB:
- hub/index.md
- Quickstart: hub/quickstart.md
- Datasets: hub/datasets.md
- Projects: hub/projects.md
- Models: hub/models.md
- Integrations: hub/integrations.md
- Ultralytics HUB App:
- hub/app/index.md
- 'iOS': hub/app/ios.md
- 'Android': hub/app/android.md
- Inference API: hub/inference_api.md
- Reference:
- hub:
- auth: reference/hub/auth.md
@ -195,6 +229,7 @@ nav:
- augment: reference/yolo/data/augment.md
- base: reference/yolo/data/base.md
- build: reference/yolo/data/build.md
- converter: reference/yolo/data/converter.md
- dataloaders:
- stream_loaders: reference/yolo/data/dataloaders/stream_loaders.md
- v5augmentations: reference/yolo/data/dataloaders/v5augmentations.md
@ -251,31 +286,6 @@ nav:
- predict: reference/yolo/v8/segment/predict.md
- train: reference/yolo/v8/segment/train.md
- val: reference/yolo/v8/segment/val.md
- YOLOv5:
- yolov5/index.md
- Quickstart: yolov5/quickstart_tutorial.md
- Environments:
- Amazon Web Services (AWS): yolov5/environments/aws_quickstart_tutorial.md
- Google Cloud (GCP): yolov5/environments/google_cloud_quickstart_tutorial.md
- Docker Image: yolov5/environments/docker_image_quickstart_tutorial.md
- Tutorials:
- Train Custom Data: yolov5/tutorials/train_custom_data.md
- Tips for Best Training Results: yolov5/tutorials/tips_for_best_training_results.md
- Multi-GPU Training: yolov5/tutorials/multi_gpu_training.md
- PyTorch Hub: yolov5/tutorials/pytorch_hub_model_loading.md
- TFLite, ONNX, CoreML, TensorRT Export: yolov5/tutorials/model_export.md
- NVIDIA Jetson Nano Deployment: yolov5/tutorials/running_on_jetson_nano.md
- Test-Time Augmentation (TTA): yolov5/tutorials/test_time_augmentation.md
- Model Ensembling: yolov5/tutorials/model_ensembling.md
- Pruning/Sparsity Tutorial: yolov5/tutorials/model_pruning_and_sparsity.md
- Hyperparameter evolution: yolov5/tutorials/hyperparameter_evolution.md
- Transfer learning with frozen layers: yolov5/tutorials/transfer_learning_with_frozen_layers.md
- Architecture Summary: yolov5/tutorials/architecture_description.md
- Roboflow Datasets: yolov5/tutorials/roboflow_datasets_integration.md
- Neural Magic's DeepSparse: yolov5/tutorials/neural_magic_pruning_quantization.md
- Comet Logging: yolov5/tutorials/comet_logging_integration.md
- Clearml Logging: yolov5/tutorials/clearml_logging_integration.md
- Help:
- Help: help/index.md
- Frequently Asked Questions (FAQ): help/FAQ.md
@ -308,6 +318,8 @@ plugins:
predict.md: modes/predict.md
python.md: usage/python.md
quick-start.md: quickstart.md
app.md: hub/app/index.md
sdk.md: index.md
reference/base_pred.md: reference/yolo/engine/predictor.md
reference/base_trainer.md: reference/yolo/engine/trainer.md
reference/exporter.md: reference/yolo/engine/exporter.md
@ -315,7 +327,6 @@ plugins:
reference/nn.md: reference/nn/modules.md
reference/ops.md: reference/yolo/utils/ops.md
reference/results.md: reference/yolo/engine/results.md
sdk.md: index.md
tasks/classification.md: tasks/classify.md
tasks/detection.md: tasks/detect.md
tasks/segmentation.md: tasks/segment.md