Learn from Home Offer
OpenCV Training (1 Courses, 4+ Projects)
This OpenCV Training includes 1 Courses, 4 Projects with 12+ hours of video tutorials and Lifetime access.
You get to learn the basics of the OpenCV library which includes Image wrapping and processing, face datasets, Object detection and also how to perform video analysis with OpenCV.
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1
OpenCV for Beginners
2
Video Analytics using OpenCV and Python Shells
3
Face Detection Using OpenCV and Python
4
Face Recognition using OpenCV
5
Project on OpenCV - Hand Gesture
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* One Time Payment & Get Lifetime Access
* One Time Payment & Get Lifetime Access
What you get in this OpenCV Training?
About OpenCV Certification Course
| Course | No. of Hours | |
|---|---|---|
| OpenCV for Beginners | 2h 25m | |
| Video Analytics using OpenCV and Python Shells | 2h 21m | |
| Face Detection Using OpenCV and Python | 1h 54m | |
| Project on OpenCV - Hand Gesture | 2h 13m | |
| Face Recognition using OpenCV | 2h 3m |
| Course Name | Online OpenCV Certification Course |
| Deal | You get access to all 1 courses, 4 Projects bundle. You do not need to purchase each course separately. |
| Hours | 12+ Video Hours |
| Core Coverage | Learn the basics of the OpenCV library which includes Image wrapping, face datasets, Object detection and also how to perform video analysis with OpenCV |
| Course Validity | Lifetime Access |
| Eligibility | Anyone serious about learning image processing and video analysis using OpenCV and wants to make a career in this Field |
| Pre-Requisites | Basic knowledge about machine learning would be preferable |
| What do you get? | Certificate of Completion for each of the 1 courses, 4 Projects |
| Certification Type | Course Completion Certificates |
| Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills |
| Type of Training | Video Course – Self Paced Learning |
| Software Required | None |
| System Requirement | 1 GB RAM or higher |
| Other Requirement | Speaker / Headphone |
OpenCV Course Curriculum
In this section, each module of the OpenCV Certification Course is explained
Goals
The goal behind providing this open CV training program is to make individuals proficient with the use of open CV library that is commonly used for developing computer vision applications. Open CV is a cross-platform library that is normally used for developing real-time computer vision applications that use visual aesthetics, image processing, video capture, etc. The training abs and bridging the gap between the industry demand and the individual skillset by providing this industry-ready training on an open CV. With the help of this training program, participants would be able to understand the concepts of open CV and can implement their knowledge in the industry easily.
Objectives
With the help of this training program or open CV, individuals would be able to understand the core concepts of open CV and camp detail about the course as per their eagerness to learn new things. The quality and output of the training depend on the efforts that a participant will put in practicing and revising the skills and concepts taught in the training program. Many schools will learn throughout the training like data science, data visualization, video analytics, Open CV, Python, linear algebra, probability, business analytics, predictive analysis, random forest, etc. once an individual becomes proficient with the use of these technologies there ample of opportunities that are open for the individuals as the market is demanding these skills to a great extent and ready to offer opportunities like data analyst, business analyst, statistician, quality engineer, quality manager, consultant, software test engineer, statistical analyst, team leader opportunities that are open for the individuals.
Course Highlights
There are varieties of skills that are going to be covered under this training program that will help in individual to kickstart his or her career in the field of open CV profession. The core skills that are going to be covered under this training program are as follows: Open CV beginners training when will understand about basic introduction to open CV, installation of open CV, some examples of open CV, reading and saving images, image color transitions, image translation, image rotation, image scaling, various transformation, image wrapping and face data sets, image wrapping, ESIC webcams, keyboard inputs, cartooning using webcams, face data sets, etc. The other skill that is covered under this program is video analytics using open CV and Python shells. Under this module what will understand about introduction to video analytics, color models, the purpose of bar model, the importance of HSL model, about HSV color model, image loading which groups process on image loading, a program for image loading, image thresholding, the concept of image thresholding, models for image thresholding, a program for adaptive thresholding, open CV and object detection, understanding open CV libraries, object detection, and tracking, traffic approach using object detection, landing capturing video from camera, capturing video from a file, saving videos, doing blob detection, tracking using color spaces, smoothing images for clear detection, functions of coding for smoothing images, understanding contour protection, cam shift algorithm, crystallizing the video capture object, optical flow algorithms, programs for optical flow algorithms, face detection, and tracking, etc. The other skill that is covered under the program is face detection using open CV and python which includes the use of different algorithms, face detection data sets, etc.
Project Highlights
The best part about going for this training program on the open CV is the environment of a wide variety of project that helps an individual to understand and implement the knowledge covered in the training program. Some of the projects that are part of this training program are as follows: A project on face detection using open CV in Python which involves an introduction to the project, installation of open CV and Python, face detection images, face detection URLs, face video and webcams, face detection video, real-time face detection, real-time face detection using a web camera, face smile and eyes, face smile detection, eye detection, etc. Another project is on face detection using open CV which involves an introduction to the project, edge detection, canny edge detection, creating data sets, training classifiers using data set, recognition, face, and eye detection music recognition which is covered in three parts, etc. The other project is on open CV hand gestures which include an introduction to the project, installation of the tools, important libraries, coding, image loading segmentation, contouring thresholding, hand gesture code libraries importing, hand background functions, hand segmentation functions that are covered in nine different parts, function calling to execute, execution logic, hand browser, developing logic to automate web browser with hand, showing the output of the code, etc.
OpenCV Course – Certificate of Completion
What is OpenCV Course?
OpenCV is a cross-platform based library that can be used to develop real-time computer-based applications. This mainly focuses on image processing, analysis, and video capturing which also includes features such as face detection, object recognition, etc. Some of the applications which are included in the area of OpenCV include feature toolkits for 2D and 3D, ego-motion estimation, Gesture recognition, Facial recognition system, Human-computer interaction, Motion understanding, Mobile robotics, Segmentation and recognition, Object identification, Stereopsis and stereo vision, depth perception by using 2 cameras, SFM which is also known as structure from motion, Augmented reality, Motion tracking, etc.
Some of the above areas can be supported by making use of statistical machine learning library which consists of some of the features such as Decision tree learning, Gradient boosting trees, K nearest neighbor algorithm, Expectation maximization algorithm, boosting, Naïve Bayes, Random Forest, Artificial neural networks, Deep neural networks, Support vector machines (SVM).
Industry Growth Trend
The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.[Source - MarketsandMarkets]
Average Salary
Average Salary$65,502 per year
The average salary for a Data Analyst is $65,502 per year in the United States.
[Source - Indeed]
[Source - Indeed]
Which tangible skills you will learn in this Course?
The skills related to computer vision and machine learning. Also related to data science and computer programming related skills are the most common and essential skills which will be learned from this OpenCV Training Certification. Other hardware related skills that are associated with OpenCV will also be learned by opting for this course. The software-related skills which will be learned from this course would include those working on different operating systems such as Linux, Windows, macOS, FreeBSD, OpenBSD, NetBSD, etc. When you talk about the mobile-based operating systems, it includes those like Android, iOS, Blackberry, Maemo.
Pre-requisites
- The pre-requisite for this OpenCV Training would include hands-on or at least a basic working knowledge of Python programming language. Knowing about the various concepts and terminologies about machine learning and data science is also expected. You should also have a brief background about how computer visions work and what is the current market trend regarding the upcoming technologies. The person opting for a course is also expected to have a brief idea and details about the statistics and other mathematical tools and functions.
Target Audience
- The ideal target audience for this OpenCV Training is everybody interested to learn the features and concepts of this course. In the professional domain, this includes those like Data scientists, analysts, software developers, software engineers, testers, automation engineers, data engineers, data analysts, consultants, Python programmers, research analysts, anybody who is keen to learn about video analytics, professionals and students who are interested to learn about the robotics and biometrics. Apart from these professionals all those colleges studying students who are doing some kind of innovation for their project assignment are also welcomed to join the course and entrepreneurs who are there to assist their co-fellow workers and wish to bring about new technologies in their startups form the ideal audience.
OpenCV Course FAQ’s
I belong from a non-computer background. I have a basic understanding of Java programming knowledge as studied in high school. I am interested to learn about visual graphics and biometrics. Should I join this course?
We at EDUCBA craft our course in such a way that the person who is very new to this domain and the field should not face any issue in working their way ahead with the course. You have an interest and a zeal to learn this course. Moreover, you have an understanding of the Java programming language too. You form the part of our ideal target audience. You can join the course.
Would this OpenCV Training Certification need regular practice or would it be a one-time thing?
In the OpenCV course, the theories and fundamental concepts can be just understood once and that should be sufficient as it explains by various means how exactly computer vision technology works and other fascinating concepts related to that and biometrics and some machine learning and data science concepts and techniques. This course also aims to teach you a programming language, Python which is a mandatory language to learn if you are looking ahead to work in the machine learning ecosystem. Python language would require regular practice as you can lose the knack of it if you leave the things in midway. Therefore, for the coding perspective, we would recommend you to keep updated and practice regularly so as not to lose touch and be competitive with the current market trends.
Career Benefits of this Machine Learning Course
- The career benefits of this training include those related to machine learning, data science, computer vision and graphics, biometrics. This would also enhance your skillset related to the Python programming language and also concerning the operating systems and hardware systems. The best part about learning the OpenCV course is that it targets not only the software side but also the hardware part and components. Therefore, this OpenCV Certification will give your resume a good boost and give you a great global presence market as this comes among the very new and latest technologies covering all the basic aspects and all the newest technologies of today.
Review
OpenCV Course
I enjoyed this course and found the examples very useful – especially the video analysis sections. The course pacing was easy to understand, and the topics covered in a comprehensive but not over-explained way. Thanks for giving such an interesting and useful course!
Greg Rolley
Crisp and useful info
I got to know about the course while searching over the internet, If you want to learn basic OpenCV, then this OpenCV Training Certification is perfect. It helped me a lot to understand the basic things in Machine Learning. A very detailed explanation with examples helped me to get through each section. Looking forward to more such training.
David Matthey
OpenCV Certification
I enjoyed all the videos in this training, the level it’s high and complex, I had to stop and replay many videos to get all the information provided, and it took me over 2 weeks to truly go over all the videos. A lot of the information I knew due to my technical background but there was so much material that the amount of new information it’s a bit overwhelming. Great job for the team that put this together.
Mathew Shahal
