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Computer Vision by using C++ and OpenCV with GPU support

Name: Computer Vision by using C++ and OpenCV with GPU support
Rating: 8.4 (14 reviews)

Learn how to Use OpenCV with GPU support on Ubuntu OS

3.6

☆☆☆☆☆ 3.6/5

(14 reviews)

145 students

Created by

8.4

Classbaze Grade®

9.4

Freshness

6.8

Popularity

8.5

Material

Detailed Analysis »

Platform: Udemy

Price: check current price

Video: 3h 8m

Language: English

Next start: On Demand

Best Computer Vision classes:

Classbaze Rating

Classbaze Grade®

8.4 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.4 / 10

This course was last updated on 10/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

6.8 / 10

We analyzed factors such as the rating (3.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.5 / 10

Video Score: 8.0 / 10

The course includes 3h 8m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.

The average video length is 6 hours 08 minutes of 36 Computer Vision courses on Udemy.

Detail Score: 8.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.

17 resources.

0 exercise.

0 test.

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About the course

In this course, you are going to learn how to install Nvidia driver on ubuntu OS and compile OpenCV with GPU support. And, you will see how to use opencv GPU functions to accelarate your applications. Also you are going to learn how to setup nvidia flownet2-pytorch environment in python.
*** Watch the Introduction video for more details! ***
If you firstly follow my other course “Learn Computer Vision with OpenCV and Python”, you will learn more beginning level information in computer vision, and then it will be better for you to see different examples with C++ and GPU enabled functions in this course.

What can you learn from this course?

✓ Computer vision
✓ OpenCV
✓ Computer vision app on Ubuntu OS

What you need to start the course?

• Must know basic programming knowledge

Who is this course is made for?

• Python developers
• Students want to work on Computer Vision

Are there coupons or discounts for Computer Vision by using C++ and OpenCV with GPU support ? What is the current price?

The course costs $14.99. And currently there is a 40% discount on the original price of the course, which was $24.99. So you save $10 if you enroll the course now.

The average price is $14.7 of 36 Computer Vision courses. So this course is 2% more expensive than the average Computer Vision course on Udemy.

Will I be refunded if I'm not satisfied with the Computer Vision by using C++ and OpenCV with GPU support course?

YES, Computer Vision by using C++ and OpenCV with GPU support has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Computer Vision by using C++ and OpenCV with GPU support course, but there is a $10 discount from the original price ($24.99). So the current price is just $14.99.

Who will teach this course? Can I trust Ibrahim Delibasoglu?

Ibrahim Delibasoglu has created 5 courses that got 287 reviews which are generally positive. Ibrahim Delibasoglu has taught 4,420 students and received a 3.8 average review out of 287 reviews. Depending on the information available, we think that Ibrahim Delibasoglu is an instructor that you can trust.

Learn everything about

Ibrahim Delibasoglu

Research Assistant in Sakarya University

Hi, I’m Ibrahim, I have PhD degree in Computer Science and working on computer vision, image processing and machine learning. I have experience on different programming languages like Java, C++ and Python. Also I have scientific papers (related image processing and machine learning) published at different International Conferences and journals. And over Udemy, I decided to share information especially via real world examples not only classical simple code examples!!

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