Computer Vision - Image Basics with OpenCV and Python
14,486명이 이미 등록했습니다.
14,486명이 이미 등록했습니다.
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.
작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.
작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.
분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.
HH 제공2020년 8월 6일
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.
SM 제공2020년 6월 18일
The course was pretty good and to the point. But the cloud user interface was too sluggish. The instructor is awesome and understandable.
PK 제공2020년 6월 6일
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.
RP 제공2020년 6월 7일
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.