Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 32 Minute(s)
Language
English
Taught by
Shrobon Biswas
Rating
2 views
Course Overview
A comprehensive & easy to understand foundation to Computer Vision
- Wanted to learn Computer Vision but hurdled by the MATH HEAVY articles ?
- Enthusiastic about learning OpenCv and don’t know where to start ?
- Want to learn about Object Tracking but bogged down by too much theory ?
- Wanting to build strong portfolio with Computer Vision & Image Processing Projects ?
- Looking to add Computer Vision algorithms in your current software project ?
Whatever be your motivation to learn OpenCV, i can assure you that you’ve come to the right course.
Hands on Computer Vision with OpenCV & Python is THE most comprehensive and cost-effective video course you will find on the web right now.
This course is tailor made for an individual who wishes to transition quickly from an absolute beginner to an OpenCV expert in just three weeks. I ensure this by breaking down and articulating the most difficult concepts in plain and simple manner, replacing tough equations by examples and concepts by using small code snippets. This course covers topics using a methodical step-by-step approach with increasing difficulty, starting outright with the very basics and fundamentals.
My approach is simple - Don’t parrot rote code , rather Understand.
I personally guarantee this is the number one course for you. This may not be your first OpenCV course, but trust me - It will definitely be your last.
I assure you, that you will receive fast, friendly, responsive support by email, and on the Udemy.
Don't believe me? I offer a full money back guarantee, so long as you request it within 30 days of your purchase of the course.
If you're looking for a genuinely effective course that equips you all the tools, and more importantly the knowhow and behind the scenes magic of OpenCV, then look no further.
Also the course is updated on a regular basis to add more new and exciting content.
Join the course right now.
So what are you waiting for ?
Let’s meet at the other side of the course.
Course Content
- 12 section(s)
- 38 lecture(s)
- Section 1 Introduction & Installation
- Section 2 Image Basics
- Section 3 Histograms
- Section 4 Pixel Manipulation & Geometry
- Section 5 Project 1 : Making an Image Snipping utility using Mouse EVENTS
- Section 6 Filtering , Blurring & Noise Removal
- Section 7 All about Thresholding
- Section 8 Project 2 : Making a custom Glitter Filter of an Image
- Section 9 Having fun with images
- Section 10 Working with Videos
- Section 11 Mastering Contours
- Section 12 Project 3: Vehicle Detection from Traffic Videos
What You’ll Learn
- After completing this course, you will have strong foundations in Image processing techniques, You will be confident in coding your own algorithms in python & OpenCV, Through the course you will build # interesting real-life projects, Application centered teaching approach : WONT BORE YOU with DIFFICULT MATH
Skills covered in this course
Reviews
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BBudaraju Leela sukanya
i am very happy with the course. fully satisfied as i am new to this subject.
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MMengya Zeng
Generally speaking, this course is suitable for beginners, also a good start to process images with OpenCv&Python. Most of the essential and relevant details is well illustrated like specific meanings of each variables. Thus we can not only learn how to use these functions but also learn how to do future research. However,advanced learners may find this a little bit easy. Also,there are also places for improvement.Like in some courses the image and code may be missing, but it's easy to find a substitute image and the code is clearly structed inthe video as well and typing it by ourselves is also beneficial for standing. I really appreciate that Mr Biswas is always quick to response and often provide much more detailed relevant resouces for us to better understand the subject.
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CChristopher Christopher Wright
This is a good introductory course to OpenCV. Audio in some lessons could have been improved, too much ambient noise (car horns, bird owner?). Some of the code typos and errors could have been cleaned up in another take of the same section, but overall was pretty good. The nature of this course will not be a deep dive (it is a few hours on a topic as deep as computer vision). Overall pretty good.
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IIsaac Elmore
I’m a professional electrical and software engineer trying to learn OpenCv for a start up business, and this program has been a great deal for the money so far! Well taught, quick and effective.
