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DevelopmentSoftware Development ToolsOpenCV

OpenCV Starter Project - Pencil Sketch and Cartoon Paint

Apply non photo realistic effect to the image like, pencil and cartoon in Python using, OpenCV, matplotlib, ipywidgets.
Rating: 4.4 out of 54.4 (28 ratings)
4,584 students
Created by Data Science Anywhere, Srikanth Gusksra
Last updated 6/2021
English
English [Auto]

What you'll learn

  • Pencil Sketch Image
  • Image to Cartoon Image
  • Gaussian Blur, Median Blur
  • Bilateral Filter
  • Edge Preserving Filter, Detail Enhance Filter
  • Image Processing with OpenCV
  • Ipython Widgets

Requirements

  • Basic Python Knowledge

Description

Welcome to Image to Cartoon Sketch using OpenCV in Python !!!


In this Course we will see, one of the most widely used image processing applications which is, Non- Photo Realistic Effects. You will generally see such an effect in most commercial software like Photoshop etc. Here, in this course using an open-source library in OpenCV, we will create such an effect by coding in Python.

What will you learn?

· Non-Photo Realistic Effect in OpenCV

· Pencil Sketch

· K Means Clustering in OpenCV

· Cartoon Paint using Bilateral Filter.

· Ipython Widgets for Hyperparameter Tuning.


In this class, we will develop two projects.

Project -1: Pencil Sketch & Tuning using Widgets

For any given image we will convert that into a perfect pencil sketch in Python. To develop this, we will use the following filter.

1. Gaussian Blur

2. Division Image

3. Gamma Correction

Here you will learn the use of these filters and how to apply them to any image. We will also create widgets. Using widgets, we will tune the hyperparameters for the best-desired pencil sketch.

Project - 2: Photo to Cartoon Photo

For any given image we will convert that into a perfect pencil sketch in Python. Just like a pencil sketch, we will create using multiple filters. The cartoon image is an extension of the pencil sketch. Here for a pencil sketch, we will segment the portion and paint it with appropriate colors using k means clustering. Finally, we will apply a Bilateral filter to get desired cartoon image. The following flow we will use to create a cartoon images.

1. Edge Mask image (pencil sketch)

2. Image Segmentation using K means Clustering.

3. Bilateral Filter.

We will also create the widgets to tune the hyperparameter to get the desired result. This is the perfect project to start your journey towards image processing.

We will see you in the class on how to develop this from scratch.


Who this course is for:

  • Anyone who are beginner in Python

Instructors

Data Science Anywhere
Team of Engineers
Data Science Anywhere
  • 4.4 Instructor Rating
  • 1,110 Reviews
  • 77,787 Students
  • 16 Courses

Hi,

We're team of Machine Learning experts, AI developers working together to advance the state of the art in artificial intelligence. You will be hearing from us when new courses are released, answering Q&A and many more.

We are here to help you stay on the cutting edge of Data Science and Technology.


Thanks,

Data Science Anywhere Team

Srikanth Gusksra
Data Scientist
Srikanth Gusksra
  • 4.4 Instructor Rating
  • 1,106 Reviews
  • 77,745 Students
  • 14 Courses

I am Srikanth working as Data Science with a demonstrated history of working in the information technology and services industry. Skilled in Machine Learning, Deep Learning, Statistical algorithms. We mostly worked on Image Processing and Natural Language processing application. I also successfully deployed many data science-related projects in cloud platforms as a service in AWS, Google Cloud, etc.

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