Build a PyTorch computer vision model REST API with Flask.
Deploy PyTorch computer vision model REST API to Heroku.
Welcome to the “Deploying a Pytorch Computer Vision Model API to Heroku” guided project. Computer vision is one of the prominent fields of AI with numerous applications in the real world including self-driving cars, image recognition, and object tracking, among others. The ability to make models available for real-world use is an essential skill anyone interested in AI engineering should have especially for computer vision and this is why this project exists. In this project, we will deploy a Flask REST API using one of Pytorch's pre-trained computer vision image classification models. This API will be able to receive an image, inference the pre-trained model, and return its predicted classification. This project is an intermediate python project for anyone interested in learning about how to productionize Pytorch computer vision models in the real world via a REST API on Heroku. It requires preliminary knowledge on how to build and train PyTorch models (as we will not be building or training models), how to utilize Git and a fundamental understanding of REST APIs. Learners would also need a Heroku account and some familiarity with the Python Flask module and the Postman API Platform. At the end of this project, learners will have a publicly available API they can use to demonstrate their knowledge in deploying computer vision models.
Machine Learning
Python Programming
pytorch
Machine Learning Deployment
Computer Vision
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Import all the necessary libraries.
Build a PyTorch computer vision model REST API with Flask.
Build a simple flask web server.
Test out PyTorch computer vision model REST API localhost end point.
Deploy PyTorch computer vision model REST API to Heroku
Test out PyTorch computer vision model REST API Heroku end point.
Capstone Practice
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
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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.
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