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
4.73 (30 reviews)
Udemy
platform
English
language
Web Development
category
instructor
Build a Web App With Python and OpenCv : Image Editing App
3 040
students
2 hours
content
Nov 2021
last update
$19.99
regular price

Why take this course?

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

Headline: Dive into the World of Web Development with Flair! 🚀

Description:

Are you ready to turn your coding skills into a visual masterpiece? In this comprehensive course, you'll embark on an exciting journey to build a state-of-the-art image editing web application using the powerful combination of Streamlit and OpenCV. This isn't just about writing code; it's about creating an intuitive user interface that brings the magic of image processing right at your users' fingertips.

What You'll Learn:

📐 Section 1: First Steps

  • Download and install Anaconda, your new best friend for Python environments.
  • Learn how to import essential libraries and packages that will serve as the building blocks of your application.

🚀 Section 2: Setting Up Your Application

  • Give your app a unique identity with a compelling title and subtitle.
  • Develop the "Detection" module, where users can identify various features within images.
  • Create an informative "About" section that tells the story of your app's capabilities.

🖌️ Section 3: Implementing Image Processing Techniques

  • Offer a range of image processing options including:
    1. Gray-scaling: Simplify images to shades of gray.
    2. Contrast: Enhance or reduce contrast to make images pop.
    3. Brightness: Adjust brightness levels for visual appeal.
    4. Blurriness: Apply blur effects for smoother imagery.
    5. Sharpness: Sharpen images to bring out fine details.
    6. Original: Maintain the original image without any processing.

🔍 Section 4: Advanced Features and Detection

  • Set up a user-friendly selectbox for users to choose from the available features easily.
  • Implement facial recognition in two parts:
    1. Detect faces within images.
    2. Identify eyes, adding an extra layer of detail to your app.
  • Add the functionality to cartoonize images, transforming them into whimsical sketches.
  • Utilize Canny edge detection to highlight lines and contours in images.

Why Take This Course?

  • Hands-On Experience: Apply theory into practice with real-world examples.
  • Learn In-Demand Skills: Master Streamlit, OpenCV, and Python, which are highly sought after in the tech industry.
  • Create a Portfolio Piece: Build a portfolio-worthy project that showcases your technical abilities and creativity.
  • Engage with Cutting-Edge Technology: Work with the latest tools and techniques in image processing and web application development.

By the end of this course, you'll not only have crafted a functional and sophisticated image editing web app but also gained valuable skills that will open doors to numerous career opportunities. 🌟

Join us on this exciting coding adventure and bring your vision to life with the power of Python and OpenCV! 🎉

Prerequisites:

  • Basic knowledge of Python is recommended.
  • Familiarity with image processing concepts would be beneficial but not mandatory, as we'll cover all necessary techniques throughout the course.

What Are You Waiting For? Enroll now and let's create something amazing together! 🖥️✨

Course Gallery

Build a Web App With Python and OpenCv : Image Editing App – Screenshot 1
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Build a Web App With Python and OpenCv : Image Editing App – Screenshot 4
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udemy ID
12/09/2021
course created date
01/10/2021
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