
AWS Lambda + OpenCV
Jeonghyun Kim
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.
Basic
AWS, Lambda, OpenCV
Let's create a web app that uploads an image and uses OpenCV to process it and detect faces.

Web Application Development
Face and Eye Detection Using OpenCV
How to use the Django framework
Setting up and managing virtual environments
Version control using Git
Deploying a web application to a server
- Let's create a face detection web app using Open CV.
Lecture materials & source code: http://www.marearts.com
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I received my Ph.D. from Pusan National University in 2012 and have been actively researching computer vision ever since. I share my knowledge in this field through http://study.marearts.com .
Who is this course right for?
Beginner in Programming
People interested in web development
People who want to learn computer vision technology
People who prefer hands-on learning
People who want to learn through real projects
All
20 lectures ∙ (1hr 12min)
Course Materials:
1. Introduce
01:52
6. PyCharm setting
03:08
7. first app
04:06
8. django structure
02:34
9. image upload app
04:47
All
12 reviews
4.3
12 reviews
Reviews 21
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Average Rating 4.0
4
A good lecture to follow along I became interested in OPENCV, so I followed the lecture in C++, but I felt that VS 2013 and later versions were difficult to follow, so I came to the Python lecture. The lecture content was not long and easy to follow, so I had fun practicing. One thing that was disappointing, as I mentioned above, was that the lecture content was short, so it felt like I just pasted the code and left... I followed it, but I felt a lot of regret. I wish it had been a more expandable lecture, such as how to utilize it, but it ended after it was created, so I feel regretful.
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Average Rating 5.0
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Average Rating 5.0
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Average Rating 4.9
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Average Rating 5.0
$42.90
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