Computer Vision - Object Detection with OpenCV and Python

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Coursera Project Network
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En este proyecto guiado, tú:

Detect Faces, Eyes, and both of them from Images.

Detect People Walking and Cars Moving from Videos

Detect a Car's Plate from Images

Clock1 hour
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this 1-hour long project-based course, you will learn how to do Computer Vision Object Detection from Images and Videos. At the end of the project, you'll have learned how to detect faces, eyes and a combination of them both from images, how to detect people walking and cars moving from videos and finally how to detect a car's plate. 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 (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should have a fundamental knowledge of Python and OpenCV. 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.

Habilidades que desarrollarás

OpencvPython ProgrammingJupyter Notebook

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Face Detection

  2. Eyes Detection

  3. Face and Eyes Detection

  4. Pedestrian Detection

  5. Car Detection

  6. Car's Plate Detection

Cómo funcionan los proyectos guiados

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

Instructor

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