Building a Keras Horse Zebra CycleGAN Webapp with Streamlit

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In this Guided Project, you will:

How to load trained Computer Vision Keras GAN models

Build a web UI for GAN models

2 hours
No download needed
Split-screen video
Desktop only

Welcome to the “Building a Keras Horse Zebra CycleGAN Webapp with Streamlit” guided project. In this project, we will build a Streamlit web app of a keras trained computer vision CycleGAN for horse images to zebra and vice versa. This project will take a jpg image of a horse and transform it into a zebra and take a picture of a zebra and transform it to a horse. This project is an intermediate python project for anyone interested in learning about how to productionize computer vision models or more specifically a beginner GAN model with Streamlit and Python. It requires preliminary knowledge on how to build and train GAN models (as we will not be building or training models) but we will be using a model that has already been trained and provided in the workspace.

Skills you will develop

  • Python Programming

  • Streamlit

  • GAN models

  • Computer Vision

  • keras

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Importing all the necessary libraries.

  2. Load the Keras models

  3. Write the load image and generate image functions

  4. Build Streamlit web UI

  5. Running the web application

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently Asked Questions

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At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.

Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.