Examples

Contents:

• Using pretrained models
• Complete end-to-end training
  • Generating synthetic data
  • Build base detector and recognizer models
  • Train the detector
  • Train the recognizer
  • Use the models for inference
• Fine-tuning the detector
• Fine-tuning the recognizer