Computer Vision: Neural Transfer Style & Green Screen Effect

4.1
33件の評価
提供:
Coursera Project Network
2,500人がすでに登録済みです
このガイド付きプロジェクトでは、次のことを行います。

How Neural Transfer Style works on Images

How Neural Transfer Style works on Videos, both recorded and live

How to mix two Images with the Green Screen Effect

Clock1 hours/week
Intermediate中級
Cloudダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

In this 1-hour long project-based course, you will learn how to do Computer Vision on images and videos with OpenCV and Python using Jupyter Notebook. You will understand how Neural Transfer Style works and you'll use it on images and on videos. Finally, you'll learn how to use the Green Screen Effect on your images. 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 an intermediate 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.

あなたが開発するスキル

OpencvPython ProgrammingJupyter Notebook

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

    ガイド付きプロジェクトの仕組み

    ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

    分割画面のビデオで、講師が手順ごとにガイドします

    よくある質問

    よくある質問

    さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。