AWS Lambda + OpenCV

This lecture introduces serverless systems through AWS Lambda, and creates an image processing end system with OpenCV, an image processing library, and expands it with an API.

(4.8) 4 reviews

207 learners

Level Basic

Course period Unlimited

AWS
AWS
Lambda
Lambda
OpenCV
OpenCV
dynamodb
dynamodb
s3-bucket
s3-bucket
AWS
AWS
Lambda
Lambda
OpenCV
OpenCV
dynamodb
dynamodb
s3-bucket
s3-bucket

Reviews from Early Learners

4.8

5.0

똘똘이스머프

100% enrolled

Thank you for the lecture.

5.0

H00589

32% enrolled

They explain the content calmly and clearly.

5.0

양동준

100% enrolled

This course has the following advantages. 1. Works in the AWS console UI. 2. The screen is visible. 3. There is a PPT. 4. You can create it by applying it right away. 5. The only regret is that mixing things like AWS sns sqs seems to be a pattern used in the field. Since it is a difficult topic like OpenCV, the architecture itself seems to be a bit difficult.

What you will gain after the course

  • AWS APIgateway, S3 bucket, DanymoDB, Lambda

  • OpenCV + AWS Lambda Service

Adding OpenCV to AWS Serverless Systems!
Create an image processing system easily.

Implementing with AWS Serverless
OpenCV image processing system

How can we create an end-to-end system with image processing functions like OpenCV?

I want to take the first step toward learning the various technologies required to implement an AWS serverless system .

I wish I could easily understand how to extend the OpenCV implementation results into an API ...

Integrating OpenCV into an AWS Lambda + DynamoDB + S3 Bucket System

Want to create your own API ? Want to deploy solutions like AI and image processing? A well-crafted API can be used for internal company functions and even sold commercially.

This course aims to implement a simple image processing system , and covers the AWS features necessary for implementation (S3 Bucket, Lambda, DynamoDB). By combining these concepts with the image processing Python package OpenCV, you can easily understand the fundamentals of AWS Serverless Systems through practical examples.


In this lecture
Knowledge sharers are 🚩

Kim Jung-hyun

I received my Ph.D. from Pusan National University in 2012 and have been actively researching computer vision ever since. I share my knowledge through https://www.marearts.com and http://study.marearts.com .

Q&A 💬

Q. Is AWS (Amazon Web Services) free?

It's practically free to use with the free tier. Even if you don't have the free tier, it's pay-as-you-go.

Q. Can I implement deep learning services with AWS?

AWS Lambda was originally designed to service lightweight systems under 50MB. Therefore, it's difficult to service AI Inference as is. Instead, it can be serviced through lightweight implementations like TensorFlow-lite, PyTorch Jit, or ONNX.

Q. Why learn AWS + Lambda + OpenCV?

Wouldn't it be fascinating if image processing libraries like OpenCV could be served as Lambda services? The possibilities are endless. By introducing the process of serving the OpenCV library as Lambda, I hope to demonstrate that it can be applied to anything.

💾 Please check before taking the class!

  • The operating system (OS) or hardware specifications used for the course are irrelevant. However, an environment capable of implementing Python is required. The course uses the free tool Visual Studio Code (VSCode).
  • Study materials can be found here (link)
  • You may add additional information or corrections to any errors.
  • Basic knowledge of Python and OpenCV is required.

Recommended for
these people

Who is this course right for?

  • Introduction to AWS services, image processing using Lambda

  • Creating an AWS Image Processing API

Need to know before starting?

  • Python

  • OpenCV

Hello
This is Jeonghyun Kim

9,234

Learners

65

Reviews

28

Answers

4.6

Rating

3

Courses

Curriculum

All

19 lectures ∙ (2hr 6min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

4 reviews

4.8

4 reviews

  • yangdongjun님의 프로필 이미지
    yangdongjun

    Reviews 7

    Average Rating 5.0

    5

    100% enrolled

    This course has the following advantages. 1. Works in the AWS console UI. 2. The screen is visible. 3. There is a PPT. 4. You can create it by applying it right away. 5. The only regret is that mixing things like AWS sns sqs seems to be a pattern used in the field. Since it is a difficult topic like OpenCV, the architecture itself seems to be a bit difficult.

    • mazel님의 프로필 이미지
      mazel

      Reviews 19

      Average Rating 5.0

      5

      32% enrolled

      They explain the content calmly and clearly.

      • hyongsu44님의 프로필 이미지
        hyongsu44

        Reviews 868

        Average Rating 5.0

        5

        100% enrolled

        Thank you for the lecture.

        • excelc212992님의 프로필 이미지
          excelc212992

          Reviews 8

          Average Rating 4.5

          4

          95% enrolled

          I like it because I can understand it quickly

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