Learn to build real time object detection in video
4.2 (3 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
9 students enrolled

Learn to build real time object detection in video

Learn to build real time object detection in video and images using YOLO algorithm
4.2 (3 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
9 students enrolled
Last updated 4/2020
English
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Current price: $16.99 Original price: $24.99 Discount: 32% off
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This course includes
  • 2 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Real time object detection using YOLO
Course content
Expand all 12 lectures 01:51:57
+ Fundamentals of Yolo
2 lectures 32:18
Fundamentals of CNN
22:50
How YOLO works?
09:28
+ Set up
3 lectures 28:35
Install Anaconda
10:56
Install Opencv Part I
14:13
Install OpenCV Part II
03:26
+ Show me the code
3 lectures 32:11
Code walkthrough for object detection in video
25:32
Code walkthrough for object detection in image
04:47
Next Steps
01:52
Requirements
  • No
Description

Course Description

Learn to build real time object detection engine using YOLO deep learning algorithm.  Deep learning is popular where a machine can be trained to detect objects in video and images.  Once trained, it can be used to detect objects in any video or image.

Yolo (You only look Once) algorithm has become popular because of its real time nature. It can detect objects at 45 frames per second or within 20 ms. This makes it attractive to use it in self driving car where detecting objects in real time is key to avoid collisions. Unlike its predecessor, YOLO looks at image only once.


Build a strong foundation in image search engines  with this tutorial for beginners.

  • Understanding fundamentals of YOLO

  • Understanding fundamentals of deep learning and CNN 

  • Benefits of YOLO for self driving car use case

  • Build a real life object detection in video  using YOLO, OpenCV and Python

  • Build a real life object detection in image  using YOLO, OpenCV and Python


  • A Powerful Skill at Your Fingertips  Learning the fundamentals of real time object detection  puts a powerful and very useful tool at your fingertips. Python, YOLO and opencv are free, easy to learn, has excellent documentation.

No prior knowledge of CNN or deep learning is assumed. I'll be covering topics like CNN from scratch.

Jobs in object detection area are plentiful, and being able to learn real time object detection will give you a strong edge. YOLO is  state of art technology that can quickly help you achieve your goal.

Learning object detection with YOLO will help you become a computer vision developer which is in high demand.



Content and Overview  

This course teaches you on how to build real time object detection engine using open source YOLO, OPNCV and Python .  You will work along with me step by step to build following answers

  • Real time object detection in Video

  • Real time object detection in image

  • Fundamentals of CNN and YOLO


What am I going to get from this course?

  • Learn YOLO and build real time object detection engine from professional trainer from your own desk.

  • Over 10 lectures teaching you how to build real time object detection engine

  • Suitable for beginner programmers and ideal for users who learn faster when shown.

  • Visual training method, offering users increased retention and accelerated learning.

  • Breaks even the most complex applications down into simplistic steps.

  • Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.

Who this course is for:
  • Beginner Python developers who are curious about data science