Deploying a Pytorch Computer Vision Model API to Heroku

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학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Build a PyTorch computer vision model REST API with Flask.

Deploy PyTorch computer vision model REST API to Heroku.

Clock2 hours
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

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.

개발할 기술

  • Machine Learning
  • Python Programming
  • pytorch
  • Machine Learning Deployment
  • Computer Vision

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Import all the necessary libraries.

  2. Build a PyTorch computer vision model REST API with Flask.

  3. Build a simple flask web server.

  4. Test out PyTorch computer vision model REST API localhost end point.

  5. Deploy PyTorch computer vision model REST API to Heroku

  6. Test out PyTorch computer vision model REST API Heroku end point.

  7. Capstone Practice

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

자주 묻는 질문

자주 묻는 질문

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