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Build a Web App With Python and OpenCv : Image Editing App

Build a modern prototype of an image editing web application with streamlit and OpenCv

Last Updated:02/2022 English (US) Instructor: Haithem Gasmi

Lectures: 21
|
Videos: 2.21 hours
|
Level: All
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Language: English
|
Last Updated: 02/2022

Skills: Python Web Development

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21 lectures 2.21 hours English

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About this Course

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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Course Content

Prerequisites

About the Instructor

Haithem Gasmi

Courses...

Hi, I am Haithem

I'm a data scientist and machine learning practitioner with an experience of more than 3 years in the industry. I also share my knowledge through online courses with tangible and impressive real world problems. I worked on many projects in different areas such as predective modelling, Natural Language Processing, Computer Vision. I love implementing my stuff with Python.

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