Welcome to ultrayolo’s documentation!

Tensorflow 2.1 implementation of yolo version 3 with extract backbones and training utils.

Contents:

• Ultrayolo
  • Features
  • TODO
  • Credits
• Installation
  • Stable release
  • From sources
• Usage
• Training
• ultrayolo
  • ultrayolo package
• Contributing
  • Types of Contributions
  • Get Started!
  • Pull Request Guidelines
  • Tips
  • Deploying
• Credits
  • Development Lead
  • Contributors
• History
• Predict using default Yolo Model
  • Load the weights
  • Predict
• Predict using a custom pretrained model
  • Load the weights
  • Predict
• Predict using a custom Model
  • Load the weights
  • Predict
• Yolo Loss Tutorial
  • And load the dataset using the SequenceDataset
  • Now we take a batch from the dataset
  • Check that the dataset transformed is correct
  • Evaluate how the loss works
  • Conclusion
• Example to train Yolo for object detection
• Evaluate model Loss
  • Yolo loss for large-sized objects
  • Yolo loss for medium-sized objects
  • Yolo loss for small-sized objects
• Data Augmentation

Indices and tables

• Index

• Module Index

• Search Page