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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
4.2
4.2/5
(2 reviews)
6 students
Created by

9.7

CourseMarks Score®

9.9

Freshness

9.4

Feedback

9.3

Content

Platform: Udemy
Video: 2h 12m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.7 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.9 / 10
This course was last updated on 11/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.4 / 10
We analyzed factors such as the rating (4.2/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.3 / 10
Video Score: 7.9 / 10
The course includes 2h 12m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
3 resources.
0 exercise.
0 test.

Table of contents

Description

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

You will learn

✓ Create a web application using an efficient python based framework : Streamlit
✓ Create and set different widgets on your app: selectboxes, buttons, radio Buttons, sliders, image uploaders, markdowns, message boxes, …etc
✓ Apply image editing techniques (gray-scaling, contrast, brightness, blurriness, sharpness) to an uploaded image
✓ Detect faces and eyes in an image using OpenCv
✓ Use the different methods and functions provided by streamlit to display your images in the app
✓ Cartoonize images and detect edges by applying OpenCV functions

Requirements

• Just basic python

This course is for

• Python developers who want to extand their knowledge on deploying efficient modern web apps using streamlit and OpenCv
• Programmers who want to apply image processing techniques into a tangible application that can be used by everyone

How much does the Build a Web App With Python and OpenCv : Image Editing App course cost? Is it worth it?

The course costs $12.99. And currently there is a 35% discount on the original price of the course, which was $19.99. So you save $7 if you enroll the course now.

Does the Build a Web App With Python and OpenCv : Image Editing App course have a money back guarantee or refund policy?

YES, Build a Web App With Python and OpenCv : Image Editing App has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Build a Web App With Python and OpenCv : Image Editing App course, but there is a $7 discount from the original price ($19.99). So the current price is just $12.99.

Who is the instructor? Is Gasmi Haithem a SCAM or a TRUSTED instructor?

Gasmi Haithem has created 4 courses that got 2 reviews which are generally positive. Gasmi Haithem has taught 113 students and received a 4.2 average review out of 2 reviews. Depending on the information available, Gasmi Haithem is a TRUSTED instructor.
Data Scientist | Machine Learning Practitioner
Hi, My name is Haithem , I’m a data scientist and machine learning practitioner with an experience of more than 3 years in the industry.

I 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, generative modelling, natural language processing and  computer vision.

I love implementing my stuff with Python.

9.7

CourseMarks Score®

9.9

Freshness

9.4

Feedback

9.3

Content

Platform: Udemy
Video: 2h 12m
Language: English
Next start: On Demand

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