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mkdocs.yml 2.4 KB

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  1. site_name: super-gradients
  2. docs_dir: .
  3. nav:
  4. - Welcome:
  5. - Intro: ./documentation/source/welcome.md
  6. - Installation: ./documentation/source/installation.md
  7. - Model Zoo: ./documentation/source/model_zoo.md
  8. - Quick Start:
  9. - Basic: ./documentation/source/QuickstartBasicToolkit.md
  10. - Classification: ./documentation/source/Example_Classification.md
  11. - Object Detection: ./documentation/source/ObjectDetection.md
  12. - Segmentation: ./documentation/source/Segmentation.md
  13. - Pose Estimation: ./documentation/source/PoseEstimation.md
  14. - Training an external model: ./documentation/source/Example_Training-an-external-model.md
  15. - Pretrained Model Prediction:
  16. - Prediction: ./documentation/source/ModelPredictions.md
  17. - Custom training Setup: ./documentation/source/PredictionSetup.md
  18. - Main Components:
  19. - Models: ./documentation/source/models.md
  20. - Dataset:
  21. - Data: ./documentation/source/Data.md
  22. - Computer Vision Datasets: ./src/super_gradients/training/datasets/Dataset_Setup_Instructions.md
  23. - Loss functions: ./documentation/source/Losses.md
  24. - LR schedulers: ./documentation/source/LRScheduling.md
  25. - Metrics: ./documentation/source/Metrics.md
  26. - Optimizers: ./documentation/source/optimizers.md
  27. - Phase Callbacks: ./documentation/source/PhaseCallbacks.md
  28. - YAMLs and Recipes:
  29. - Configurations: ./documentation/source/configuration_files.md
  30. - Training: ./documentation/source/Recipes_Training.md
  31. - Factories: ./documentation/source/Recipes_Factories.md
  32. - Custom Recipes: ./documentation/source/Recipes_Custom.md
  33. - Checkpoints: ./documentation/source/Checkpoints.md
  34. - Docker: ./documentation/source/SGDocker.md
  35. - Output Adapter: ./documentation/source/DetectionOutputAdapter.md
  36. - Features:
  37. - Training Modes: ./documentation/source/device.md
  38. - Logging: ./documentation/source/logs.md
  39. - Experiment Monitoring: ./documentation/source/experiment_monitoring.md
  40. - Exponential Moving Average (EMA): ./documentation/source/EMA.md
  41. - Automatic Mixed Precision (AMP): ./documentation/source/average_mixed_precision.md
  42. - Knowledge Distillation (KD): ./documentation/source/KD.md
  43. - Quantization (PTQ & QAT): ./documentation/source/ptq_qat.md
  44. - Model Export (ONNX & TensorRT): ./documentation/source/models_export.md
  45. - Troubleshooting: ./documentation/source/troubleshooting.md
  46. - Contribution: ./documentation/source/CONTRIBUTING.md
  47. - Code: this_is_automatically_generated.md
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