OpenCV Python Tutorial | Creating Face Detection System And Motion Detector Using OpenCV | Edureka

🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
This Edureka Python Tutorial video on OpenCV explains all the basics of OpenCV. It also explains how to create a face recognition system and motion detector.

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🌕Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy

#PythonOpenCV #FaceRecognition #Edureka

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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in Python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present

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Why learn Machine Learning with Python?

Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

[TheMarotron]

TimeStampped list of topics in this Video:
0:45 What is Computer Vision
1:30 How a Computer Reads an Image?
3:38 What is OpenCV
4:48 Basics of OpenCV
4:54 Load Images
7:55 Image shape / Resolution
8:03 Displaying the Image
9:58 Resizing the Image
12:26 Face Detection
16:51 Capturing video
22:53 How to capture the video, Instead of first Image/Frame of the Video
28:26 Motion detection using OpenCV
28:33 Problem statement
29:14 Solution Logic
31:57 Motion Detector
34:10 Now we need to calculate the time for which the object was in front of the camera.
34:15 Storing time Values
38:29 Plotting the Motion Detection Graph

[TejasDhanani]

For error on *Video Capture* (18:15) :
Use: *video = cv2.VideoCapture(0, cv2.CAP_DSHOW)*

[barncha]

Hi edureka, just want you to know how I really appreciate you sharing these tutorial videos at no charge when our lessons gained is priceless. I'm a complete beginner to CV and I gained so much practical learning in less than an hour. Many thanks to you! Cheers!

[hamzazaheer]

for anyone struggling with cascade object use this
fc = +

[amankaushik]

A very reasonable course teaches a layman everything!!😎🤩

[tedmosby]

wow they way you lay code out is the best iv seen on youtube so far so much easier to understand

[its_swetha]

I have completed my project in one single day..thank you very much for saving my time !!

[GLayerTut]

Sir nice tutorial please upload more tutorial of machine learning edureka is only one youtube channel which updates the latest technology I love edureka

[abdulwahabmoro]

The tutorials was very insightful. Thank you for the good work done.

[ratanpriya]

i watch this video.. and amazing learning experience... all thus i m not know about OpenCV. but finally i know its a library. and how it works. good experience.

[DeepakSingh-jizo]

Awesome tutorial....All my life I wanted to learn this :)

[narendarreddy]

How to create cascadeClassifier object ? I mean what is that

[ArjunSingh-lteb]

15:25....What's the path for cascade classifier file which contains the features of the image??

[judetenga]

at 5:45 how did you get that url link of the image to paste it inside img = cv2.imread (). Im a bit confused on that.

Thanks,

[omarabrilvivanco]

I think this is one of the best tutorials I have found on youtube, even, you as a teacher could not imagine. Only I would like to say THANK YOU VERY MUCH. (MUCHAS GRACIAS) :-)

[DarkBlossom]

Thank you for taking time to explain all the complicated stuff I don’t habe any idea about. Keep up the good work

[muminibnaadm]

From now i am fan of edureka.. Love you

[SantoshKumar-frtm]

Explained in a pretty simple way. At least I understood the concept behind it. thanks

[rameshr]

Best vedio on opencv ever seen.Keep going on guys .We all r be behind u

[kavithamg]

Wow, you are really a good teacher 😀
Thanks for this tutorial!!