
Computer Vision All-in-One: 10 Practical Projects Completed in 12 Hours
nomad
Easy, Usable Computer Vision Projects: Step-by-step learning of practical CV projects. Boost skill with real examples.
Basic
Python, OpenCV, Deep Learning(DL)
This course is a fun project that learns theories and processes images and videos with OpenCV (Open Source Computer Vision Library) and uses deep learning modules (dnn, Deep Neural Network) to identify and recognize faces, eyes, and various objects.
838 learners
Level Intermediate
Course period Unlimited


Reviews from Early Learners
5.0
jamxoo
This is an interesting lecture that starts with a description of basic images, recognizes human faces, and even recognizes specific people in an easy and fun way! I think it would be really fun to apply it to things around us or to various other tasks. It was very helpful. Thank you!!
5.0
Gang
It's amazing what you can do with deep learning. It's great to be able to learn theory and real-world examples at the same time.
5.0
YJ
This was a very helpful lecture!
OpenCV Image and Video Processing
Understanding and practicing OpenCV dnn (Deep Learning)
Object Detection in Images
Object Detection in Images and Videos
Object Recognition in Images and Videos
Various Computer Vision techniques such as YOLO and Hog
While it's important to build a solid theoretical foundation while learning and teaching artificial intelligence, machine learning, and deep learning, I also believe it's important to develop practical skills.
So, I started preparing a project in the field of Computer Vision , a representative field that uses artificial intelligence, machine learning, and deep learning.
By utilizing OpenCV, a representative image and video processing software library, dnn, a deep learning module , and various techniques and modules
🎥 Learn the basics of image and video processing
👀 Identify faces, eyes and various objects
🙋🏻♂️ Find the person you want in images and videos through learning
The course is structured so that you can learn fun tasks step by step along with the theory.
After completing the course, you will dream of working on various computer vision deep learning projects.
While I was developing the process, I also had the idea of creating various ideas such as intrusion detection, drowsiness prevention, number and letter recognition, emotion identification, and age and gender recognition .
First, we need to learn about techniques for handling images and videos, right?
Before we begin to fully utilize deep learning, we will learn the core techniques of OpenCV step by step.
Now, let's try to identify faces and eyes in images and videos (Face, Eye Detection).
OpenCV, Haar, and deep learning will help us.
The latest Computer Vision technology recognizes people in images and videos (Face Recognition).
Learn and use facial recognition technology , seen in movies and news.
It can not only recognize faces (Face Recognition), but also find various objects (Object Recognition).
YOLO and its friends find objects in images and videos.
'[OpenCV] Python Deep learning Image processing Project - Son Heung-min Find it !' lecture includes '[OpenCV] Python Deep learning Image processing Project 2 - Bad Apples Find it !' lecture Face recognition Strengthening The 'Face Landmark and Alignment' section of the content Added as a special lecture .
What tools will be covered in this course?
This course is based on OpenCV, a representative ComputerVision software library, and Python.
In addition to this, we will explain how to install some useful software one by one in the lecture.
Q. What are the features of this course?
A. I thought about how to apply deep learning and machine learning in practice.
This course will teach you deep learning through practical projects as well as theoretical explanations related to Computer Vision, a representative field.
Q. Can non-majors also take the course?
A. Deep learning and data science are not fields that can only be pursued by those with a computer science degree.
This is something you can learn and apply to your own life if you have the passion.
Who is this course right for?
Those who want to use deep learning in practice
Anyone who wants to learn about image processing using deep learning
Anyone preparing a project related to Computer Vision
Anyone who wants to understand and utilize OpenCV
Those who want to learn the latest deep learning image processing techniques
Need to know before starting?
Willingness to study hard
Python Basics - Python 100-minute core lecture
Python Data Processing, Visualization - Python Data Visualization Analysis Practical Project
[Tensorflow2] Complete conquest of Python machine learning - Marathon record
22,445
Learners
514
Reviews
556
Answers
4.4
Rating
25
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36 lectures ∙ (7hr 5min)
All
47 reviews
4.6
47 reviews
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Average Rating 5.0
5
This is an interesting lecture that starts with a description of basic images, recognizes human faces, and even recognizes specific people in an easy and fun way! I think it would be really fun to apply it to things around us or to various other tasks. It was very helpful. Thank you!!
thank you.
Reviews 2
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Average Rating 5.0
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Average Rating 3.9
4
Thank you for your hard work in creating and teaching the lecture materials. In addition, I would like you to upload the lecture materials to the Inflearn site. (Every time I take a new lecture on Inflearn, I have to sign up for another site to receive the materials. I would appreciate it if you could think from the perspective of the student.)
Reviews 4
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Average Rating 1.0
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