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