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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

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