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    DROSIA SERENITY
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    Image Manipulation With Python And Pillow

    Posted By: ELK1nG
    Image Manipulation With Python And Pillow

    Image Manipulation With Python And Pillow
    Last updated 6/2018
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 540.44 MB | Duration: 0h 53m

    Learn how to edit images programmatically

    What you'll learn
    Convert images to other file formats automatically
    Transform images through resizing, flipping, and adding filters
    Crop images dynamically
    Remove solid color backgrounds
    Write a simple command line application
    Add logos
    Create your own watermarks
    Requirements
    Basic understanding of Python data types and functions
    Ability to install Python dependencies, i.e. "pip install …"
    Access to a computer
    Description
    Pillow is a free and open source library for the Python programming language that allows you to easily create and manipulate images.In this course, we'll take a hands-on approach to learning the library with several projects:A command line application to convert image file typesA tool to detect the edges of an object to crop around itResizing and adding logos and watermarks dynamically to a source imageRemoving solid backgrounds similar to the Chroma key effectAll of the source code is included with the course, so you can learn by coding along, watching the videos, or refactoring the code to meet your needs.If you're looking to automate your image editing workflow, expand your knowledge of Python, or are seeking your next creative project, this course is a must for you.

    Overview

    Section 1: Welcome!

    Lecture 1 Welcome & Setup

    Section 2: Project #1: Image Converter

    Lecture 2 Opening an Image

    Lecture 3 Displaying an Image

    Lecture 4 Converting and Saving Images

    Lecture 5 Creating a Command Line Tool

    Section 3: Geometric Transformations: Resizing, Rotating, Flipping

    Lecture 6 Resizing Images

    Lecture 7 Creating Thumbnails

    Lecture 8 Rotating and Flipping

    Lecture 9 Cropping

    Section 4: Project #2: Smart Cropping

    Lecture 10 Smart Cropping

    Lecture 11 Removing Outliers

    Section 5: Project #3: Adding a Logo

    Lecture 12 Adding a Logo

    Section 6: Project #4: Watermarking an Image

    Lecture 13 Drawing a Watermark

    Lecture 14 Centering Text

    Lecture 15 Drawing a Rectangle Around the Text

    Lecture 16 Rotating the Watermark

    Section 7: Project #5: Removing the Background (Chroma Key)

    Lecture 17 Removing the Background

    Lecture 18 Detecting Errors

    Section 8: Filtering and Enhancing Images

    Lecture 19 ImageFilter and ImageEnhance

    Lecture 20 Next Steps

    Developers looking to automate image editing,Beginner+ Python developers who are looking for accessible, hands-on projects,Marketers with some coding background who want to automate images for their campaigns