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Computer Vision by Using C++ and OpenCV

Computer Vision by Using C++ and OpenCV

Ever wondered how computers ‘see’ the world? Dive into C++ & OpenCV to unlock the secrets of computer vision. Ready to transform pixels into insights?”

Enrolled Students: 46

★ ★ ★ ★ ★

(11 Reviews)

Overview of Computer Vision by Using C++ and OpenCV

Join our Computer Vision by Using C++ and OpenCV course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Computer Vision by Using C++ and OpenCV course has everything you need to get a great start in this sector.

Improving and moving forward is key to getting ahead personally. The Computer Vision by Using C++ and OpenCV course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now!

This Computer Vision by Using C++ and OpenCV Course will help you to learn:

This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Computer Vision by Using C++ and OpenCV. Enrol today and complete the course to achieve a certificate that can change your career forever.

Course Description

Perks of Learning with IOMH

Process of Evaluation

After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate.

Certificate of Achievement

Upon successfully completing the final assessment, you’ll unlock a CPD-accredited Certificate of Achievement—a valuable credential that demonstrates your commitment to professional development. The PDF Certificate is priced at £8.99 and will be emailed to you immediately. Also, A printed Hard copy Certificate can be purchased for £15.99 and will be sent to your address by post.

Who Is This Course for?

This Computer Vision by Using C++ and OpenCV is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.

On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.

This course has been developed with maximum flexibility and accessibility, making it ideal for people who don’t have the time to devote to traditional education.

Requirements

You don’t need any educational qualifications or experience to enrol in the Computer Vision by Using C++ and OpenCV course.

Do note: You must be at least 16 years old to enrol.

Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course.

Career Path

The certification and skills you get from this Computer Vision by Using C++ and OpenCV Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.

Frequently Asked Questions

Q. How do I purchase a course?

1. You need to find the right course on our IOMH website at first. You can search for any course or find the course from the Courses section of our website.
2. Click on Take This Course button, and you will be directed to the Cart page.
3. You can update the course quantity and also remove any unwanted items in the CART and after that click on the Checkout option and enter your billing details.
4. Once the payment is made, you will receive an email with the login credentials, and you can start learning after logging into the portal.

Q. I have purchased the course when will I be able to access the materials?

After purchasing the course, you should receive an email with the login credentials within 24 hours. Please check your spam or junk folder if you didn’t receive it in your inbox. You can access your courses by logging into your account. If you still need any assistance, please get in touch with our Customer Support team by providing the details of your purchase.

Q. I haven't received my certificate yet. What should I do?

You should receive your Digital Certificate within 24 hours after placing the order, and it will take 3-9 days to deliver the hard copies to your address if you are in the UK.

For International Delivery, it will take 20-25 days.

If you require any assistance, get in touch with our dedicated Customer Support team, and your queries/issues will be dealt with accordingly.

Q. I don't have a credit/debit card, what other methods of payment do you accept?

You can make the payment using PayPal or you can Bank Transfer the amount.

For Bank transfer you will require an invoice from us and you need to contact our Customer Support team and provide details of your purchase to get the invoice.

After that, you will receive an email with the invoice and bank details and you can make the payment accordingly.

Q. Can I do the courses from outside UK?

We are an online course provider, and learners from anywhere in the world can enrol on our courses using an internet-connected device.

Q. When I log into the account it says 'Contact Administrator'.

To resolve this issue, please log out of your account and then log back in.

Course Curriculum

Unit 01: Set up Necesssary Environments
	Module 01: Driver installation	00:06:00
	Module 02: Cuda toolkit installation	00:01:00
	Module 03: Compile OpenCV from source with CUDA support part-1	00:06:00
	Module 04: Compile OpenCV from source with CUDA support part-2	00:05:00
	Module 05: Python environment for flownet2-pytorch	00:09:00
Unit 02: Introduction with a few basic examples!
	Module 01: Read camera & files in a folder (C++)	00:11:00
	Module 02: Edge detection (C++)	00:08:00
	Module 03: Color transformations (C++)	00:07:00
	Module 04: Using a trackbar (C++)	00:06:00
	Module 05: Image filtering with CUDA (Introduction to using OpenCV GPU methods on C++)	00:13:00
Unit 03: Background segmentation
	Module 01: Background segmentation with MOG (C++)	00:04:00
	Module 02: MOG and MOG2 cuda implementation (C++ – CUDA)	00:03:00
	Module 03: Special app: Track class	00:06:00
	Module 04: Special app: Track bgseg Foreground objects	00:08:00
Unit 04: Object detection with openCV ML module (C++ CUDA)
	Module 01: A simple application to prepare dataset for object detection (C++)	00:08:00
	Module 02: Train model with openCV ML module (C++ and CUDA)	00:13:00
	Module 03: Object detection with openCV ML module (C++ CUDA)	00:06:00
Unit 05: Optical Flow
	Module 01: Optical flow with Farneback (C++)	00:08:00
	Module 02: Optical flow with Farneback (C++ CUDA)	00:06:00
	Module 03: Optical flow with Nvidia optical flow SDK (C++ CUDA)	00:05:00
	Module 04: Optical flow with Nvidia Flownet2 (Python)	00:05:00
	Module 05: Performance Comparison	00:07:00
Additional Resource
	Resources	00:00:00