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TensorFlow 2.0 Computer Vision Cookbook

You're reading from   TensorFlow 2.0 Computer Vision Cookbook Implement machine learning solutions to overcome various computer vision challenges

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781838829131
Length 542 pages
Edition 1st Edition
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Author (1):
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Jesús Martínez Jesús Martínez
Author Profile Icon Jesús Martínez
Jesús Martínez
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Table of Contents (14) Chapters Close

Preface 1. Chapter 1: Getting Started with TensorFlow 2.x for Computer Vision 2. Chapter 2: Performing Image Classification FREE CHAPTER 3. Chapter 3: Harnessing the Power of Pre-Trained Networks with Transfer Learning 4. Chapter 4: Enhancing and Styling Images with DeepDream, Neural Style Transfer, and Image Super-Resolution 5. Chapter 5: Reducing Noise with Autoencoders 6. Chapter 6: Generative Models and Adversarial Attacks 7. Chapter 7: Captioning Images with CNNs and RNNs 8. Chapter 8: Fine-Grained Understanding of Images through Segmentation 9. Chapter 9: Localizing Elements in Images with Object Detection 10. Chapter 10: Applying the Power of Deep Learning to Videos 11. Chapter 11: Streamlining Network Implementation with AutoML 12. Chapter 12: Boosting Performance 13. Other Books You May Enjoy

Generating captions for your own photos

Training a good image captioning system is only one part of the equation. To actually use it, we must perform a series of steps, akin to the ones we executed during the training phase.

In this recipe, we'll use a trained image captioning network to produce textual descriptions of new images.

Let's get started!

Getting ready

Although we don't need external dependencies for this particular recipe, we need access to a trained image captioning network, along with the cleaned captions that will be used to fit it. I highly recommend that you complete the Implementing a reusable image caption feature extractor and Implementing an image captioning network recipes before tackling this one.

Are you ready? Let's start captioning!

How to do it…

Follow this series of steps to produce captions for your own images:

  1. As usual, let's begin by importing the necessary dependencies:
    import glob
    import...
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