Course Description
First of all let me tell you what is
Open CV and what are the things that we can do using OpenCV. (If you
are not familiar with Open CV),
OpenCV is a open source
C++ library for digital image processing and computer vision, which can
be used to create real time face recognisation and using it with
embedded robotics and micro controllers for purpose like differentiating
a specific color from an image having various colors.
- Are you willing to become a programmer?
- Do you want to make softwares that actually sells?
- Do you want to present projects in your University and to score good marks?
- Do you wonder why you are not good at programming?
- Do you want to showcase your talent and present in front of your specific audience?
- Are you looking for getting projects as a freelancer but never got the opportunity?
- Do you want techniques and methods that will enhance your programming skills and more peoples would be appreciating you for your works?
Solution to all this we will cover in this course.
"Few years back, I started learning programming and spent couple of
months just to learn the basics. Then, for again a couple of months I
spent my time learning advance of Open CV. Being in the same field for
almost one year, I decided to start my own project. But I keep on stuck
at various steps of my project as many of concepts were not cleared. I
was not able to develop a simple software from the knowledge I gained. I
was depressed and thinking to leave the programming.
Then one day, I decided to give it one more try. I wrote down all the
parts of my programming knowledge where I had weak concepts. I started
visiting forums and posting my questions to sharpen my skills and doubt
clearance. And again tried to create that project with fewer
difficulties. I repeated the same method again and dig a lot.
Now I got success, I am a professional programmer in C++ and OpenCV and now working with two companies."
What you need is someone to teach you step by step every algorithm
of OpenCV and C++, concepts which are widely used in programming and
algorithms that are universal to each program. So that you can go
forward without googling all day and night.
Just 2 hours, you need only two hours to end this course and to become a master of Open CV and C++ advance.
We have all the data collected from different resources at one place which includes :
- Real time face detection and object tracking.
- Embed robotics and micro controllers.
- Differentiating specific colors from an image and video stream through webcam.
- Make projects like human detecting bots, color following bots, laser toy gun bots, bots playing football etc.
And you can see the whole curriculum of the course under this section.
Today you will have start up in OpenCV and C++ that will lead to
make you a successful programmer. Today if you spend time watching your
videos of this course then you don't need to google all time and collect
resources.
Yes, you could spend hours learning how to do
it on google, and then you have to sort out the good from the bad
information. And spend hundred of dollars taking private coaching that
explain exactly how to do it, or you could buy all the information you
need from this course for this little price.
This course
can be taken by anyone, as it includes section starting from beginners
to advance step by step. The programming files includes comments on each
line so that you won't have problem learning the program methodology.
I will be updating it time to time with new projects and projects
integrated with micro controllers and Arduino and projects on demand.
Yes you can demand us a project that you are looking for and we will be
creating and uploading it for you.
No other course for OpenCV or Digital image processing is as simple as this and in this much of details.
There is a summary page at the end of each section to sum up every
topic under that section. You can ask me for help if you stuck or find
any difficulty on understanding. I will put my best efforts into it.
Curriculum
What are threshold operations
About Face detection
Capture image from Webcam - videoCapture
Capturing and Saving an image from webcam - imWrite
Converting a video stream to gray
Converting image to gray - cvtColor(CV_RGB2GRAY)
Converting image to HSV (Hue Saturation)
Creating trackbar
Creating trackbar and blending two images
Detecting edges and colouring it (outline) - contour
Detecting edges of objects - canny
Face Detection - CODE
Face Recognition with OpenCV — OpenCV 2.4.9
How to detect edges (OUTLINE)
Installation & Setup
Introducing Blur - Smoothing images
Knowing Open CV
Load and Display image - imread
PROGRAMING - Adding (blending) two images - addWeighted
Section 1: Introduction to Open CV
Section 10: Tracking image by colour
Section 11: Face Detection using Haar Cascades
Section 12: Face Recognition with OpenCV
Section 2: Learning the basics
Section 3: Converting image to other scale (Gray, HSV)
Section 4: Smoothing images - Blur functions
Section 5: Blending two image - addWeighted
Section 6: Creating trackbar and using it
Section 7: Threshold operations (Creating effects)
Section 8: Detecting edges of object (Creating an outline of objects)
Section 9: Tracking lines and circles in an image
Smoothing images - bilateralFilter
Smoothing images - GaussianBlur
Smoothing images - Homogenous blur
Smoothing images - medianBlur
The basic image container - mat
THEORY - Adding (blending) two images
To detect circle in an image - houghcircles
To detect line in an image - houghlines
Using inrange function to detect a single colour in an image
Using threshold operations with Trackbar (CODE)
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