ultralytics 8.0.84 results JSON outputs (#2171)

Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
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Glenn Jocher 2023-04-21 15:25:30 +02:00 committed by GitHub
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@ -42,6 +42,7 @@ theme:
- navigation.top
- navigation.tabs
- navigation.tabs.sticky
- navigation.expand
- navigation.footer
- navigation.tracking
- navigation.instant
@ -230,20 +231,26 @@ nav:
- YOLOv5:
- yolov5/index.md
- Train Custom Data: yolov5/train_custom_data.md
- Tips for Best Training Results: yolov5/tips_for_best_training_results.md
- Multi-GPU Training: yolov5/multi_gpu_training.md
- PyTorch Hub: yolov5/pytorch_hub.md
- TFLite, ONNX, CoreML, TensorRT Export: yolov5/export.md
- NVIDIA Jetson Nano Deployment: yolov5/jetson_nano.md
- Test-Time Augmentation (TTA): yolov5/tta.md
- Model Ensembling: yolov5/ensemble.md
- Pruning/Sparsity Tutorial: yolov5/pruning_sparsity.md
- Hyperparameter evolution: yolov5/hyp_evolution.md
- Transfer learning with frozen layers: yolov5/transfer_learn_frozen.md
- Architecture Summary: yolov5/architecture.md
- Roboflow Datasets: yolov5/roboflow.md
- Neural Magic's DeepSparse: yolov5/neural_magic.md
- Comet Logging: yolov5/comet.md
- Clearml Logging: yolov5/clearml.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
- Security: SECURITY.md