Computer Vision - Image Basics with OpenCV and Python
14.360 ya inscrito
14.360 ya inscrito
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.
En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:
Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.
En un video de pantalla dividida, tu instructor te guía paso a paso
por MG30 de jul. de 2020
i enjoyed it and i could learn the test my basics in opencv and want to do much more with opencv and matplotlib
por SM18 de jun. de 2020
The course was pretty good and to the point. But the cloud user interface was too sluggish. The instructor is awesome and understandable.
por RB12 de sep. de 2020
Good course i thought it would cover all the basics of opencv but it was listed good project
por BS2 de sep. de 2020
If you have little understanding of opencv then it will be better for because the instructor doesn't explain all the things in detail.