In this course you are going to build a modern prototype of a web application : image editing app using streamlit which is a python based framework that provides you with all the tools to build your app from scratch in a simple and fast way. Through this course you are going to learn how to implement different image processing techniques like : gray scaling, contrast, brightness, sharpness and blurriness and connect them to your application giving the hand to users to choose and control the degree of each one. You will also, learn how to create functions that allow you to detect faces and eyes in images, functions that create cartoon version of your images and other to detect edges of different objects and regions in images.
The content of this course:
Section 1: First steps :
Anaconda download and installation
Importing the libraries / packages
Section 2 : Set up the main part of the app
Setting a title and a subtitle for the app
Create the ” Detection ” part
Create the ” About ” part
Section 3 : Connect the image processing techniques to the app
Option 1 : Gray scaling
Option 2 : Contrast
Option 3 : Brightness
Option 4 : Blurriness
Option 5 : Sharpness
Option 6 : Original
Section 4 : Set up the main part of the app
Set the features selectbox
Detect faces (part 1)
Set the haar cascade files
Detect faces (part 2)
Detect eyes
Cartoonize an image (part 1)
Cartoonize an image (part 2)
Cannize an image
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SKILLS YOU WILL GAIN
Build a full prototype of an Image Editing Web App with multiple features and functionalities
Learn how to apply different image processing techniques
WHAT YOU WILL LEARN
Image Processing
Web App Development with Streamlit