Computer Vision - Image Basics with OpenCV and Python
How to open an Image with Matplotlib
Differences between Matplotlib and OpenCV
The 3 main points to remember when working with OpenCV
How to Flip, resize an image, how to draw shapes and write on an image
In this 1-hour long project-based course, you will learn how to do Computer Vision on images with OpenCV and Python using Jupyter Notebook. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and OpenCV pre-installed. Prerequisites: In order to be successful in this project, you should have a basic knowledge of Python. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Навыки, которые вы получите
Будете учиться пошагово
На видео, которое откроется рядом с рабочей областью, преподаватель объяснит эти шаги:
Task 1: Introduction
Task 2: How to open an Image with Matplotlib
Task 3: Get familiar with RGB channels
Task 4: Differences between Matplotlib and OpenCV
Task 5: Resize & Flip an Image
Task 6: Draw Shapes on an Image (Part 1)
Task 7: Draw Shapes on an Image (Part 2)
Task 8: Draw with the Mouse
Task 9: Event Choices for the Mouse
Task 10: Mouse Functionality
Как устроены проекты с консультациями
Ваше рабочее пространство — это облачный рабочий стол в браузере. Ничего не нужно загружать.
На разделенном экране видео преподаватель предоставляет пошаговые
Рецензии
Лучшие отзывы о курсе COMPUTER VISION - IMAGE BASICS WITH OPENCV AND PYTHON
Course is good for beginers. We will know how to open an image using cv library, flip rotate, change RGB channels, Opening a image in a window and drawing on it with the help of mouse events etc.
It was a good course for opencv knowledge but i missed the part of creating a fully functional project.Although it has enhanced my skill set to proceed with related projects.Thank you for help.
It was awesome course only problem was tool window was not opening so had to do with my jupyter notebook. also if both the windows could expand it will give ease of reading the codes.
The concept that I am able to code along with my instructor without worrying about the setup and just able to concentrate on the lesson is the best part I liked about this course.
Часто задаваемые вопросы
Часто задаваемые вопросы
Что я получу, приобретя проект с рекомендациями?
Доступны ли проекты с консультациями на ПК и мобильных устройствах?
Какие преподаватели ведут проекты с рекомендациями?
Можно ли скачать работу из уже завершенного проекта с рекомендациями?
Какие правила возврата средств?
Можно ли получить финансовую помощь?
Можно ли прослушать проект с рекомендациями и посмотреть видео бесплатно?
Какие предварительные знания требуются для работы над проектом с рекомендациями?
Можно ли выполнить этот проект с рекомендациями в веб-браузере, не устанавливая специальное ПО?
Как организована учеба на проектах с рекомендациями?
Остались вопросы? Посетите Центр поддержки учащихся.
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