• Tutorial 1: Learn about Configs
  • Modify config through script arguments
  • Config File Structure
  • Config Name Style
  • Deprecated train_cfg/test_cfg
  • An Example of Mask R-CNN
  • FAQ
• Tutorial 2: Customize Datasets
  • Support new data format
  • Customize datasets by dataset wrappers
  • Modify Dataset Classes
• Tutorial 3: Customize Data Pipelines
  • Design of Data pipelines
  • Extend and use custom pipelines
• Tutorial 4: Customize Models
  • Develop new components
• Tutorial 5: Customize Runtime Settings
  • Customize optimization settings
  • Customize training schedules
  • Customize workflow
  • Customize hooks
• Tutorial 6: Customize Losses
  • Computation pipeline of a loss
  • Tweaking loss
  • Weighting loss (step 2)
• Tutorial 7: Finetuning Models
  • Inherit base configs
  • Modify head
  • Modify dataset
  • Modify training schedule
  • Use pre-trained model
• Corruption Benchmarking
  • Introduction
  • About the benchmark
  • Inference with pretrained models
  • Results for modelzoo models
• Tutorial 8: Pytorch to ONNX (Experimental)
  • How to convert models from Pytorch to ONNX
  • How to evaluate the exported models
  • List of supported models exportable to ONNX
  • The Parameters of Non-Maximum Suppression in ONNX Export
  • Reminders
  • FAQs
• Tutorial 9: ONNX to TensorRT (Experimental)
  • How to convert models from ONNX to TensorRT
  • How to evaluate the exported models
  • List of supported models convertable to TensorRT
  • Reminders
  • FAQs
• Tutorial 10: Weight initialization
  • Description
  • Initialize parameters
  • Usage of init_cfg