Recipes

• Recipe: Dataset Capture + Dev Loop
  • 0) Prerequisites
  • 1) Record from the network source
  • 2) Develop and test the pipeline on the dataset
  • 3) Optional: augment or refine the dataset
  • Troubleshooting
• Recipe: Model Refine
  • 0. Prerequisites
  • 1. Record while running inference
  • 2. Filter out wrong predictions
  • 3. Prepare training config
  • 4. Preview data
  • 5. Train a finer model
  • 6. Put the model back into the pipeline
• Recipe: Pipeline Chrome Trace
  • What you’ll get
  • 0) Prerequisites
  • 1) Run track with logging enabled
  • 2) Locate the trace files
  • 3) Inspect the timeline
  • 4) Optional: summarize stats
  • Troubleshooting