Abstract
In this chapter, we will look at the YOLO (You Only Look Once) method for object detection. The chapter is split in two parts: in the first section we learn how the algorithm works, and in the second section, I will give an example of how you can use it in your own Python projects.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Redmon J. et al., “You Only Look Once: Unified, Real-Time Object Detection,” https://arxiv.org/abs/1506.02640 .
- 2.
- 3.
Redmon J., Farhadi A., “YOLO9000: Better, Faster, Stronger,” https://arxiv.org/abs/1612.08242
- 4.
Redmon J., Farhadi A., “YOLOv3: An Incremental Improvement,” https://arxiv.org/pdf/1804.02767.pdf
- 5.
You can find the image used for testing in the GitHub repository within Chapter 7.
- 6.
You can find the official documentation at http://toe.lt/t .
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 Umberto Michelucci
About this chapter
Cite this chapter
Michelucci, U. (2019). Object Localization: An Implementation in Python. In: Advanced Applied Deep Learning . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4976-5_7
Download citation
DOI: https://doi.org/10.1007/978-1-4842-4976-5_7
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4975-8
Online ISBN: 978-1-4842-4976-5
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)