This is the last tutorial in our 3 part Creating Instagram Filters series. In this tutorial, you will learn to create 10 very interesting and cool Instagram filters-like effects on images and videos. The Filters which are gonna be covered are; Warm Filter, Cold Filter, Gotham Filter, GrayScale Filter, Sepia Filter, Pencil Sketch Filter, Sharpening Filter, Detail Enhancing Filter, Invert Filter, and Stylization Filter.
OpenCV Posts
Working With Lookup Tables & Applying Color Filters on Images & Videos | Creating Instagram Filters – Pt ⅔
This is the second tutorial in our 3 part Creating Instagram Filters series. In this tutorial, you will learn what LookUp Tables are, why are they preferred along with their use cases in real-life, and then utilize these LookUp Tables to create some spectacular photo effects called Color Filters a.k.a. Tone Effects. And then you will create a user interface similar to the Instagram filter selection screen using mouse events & trackbars in OpenCV.
Working With Mouse & Trackbar Events in OpenCV | Creating Instagram Filters – Pt ⅓
In this video, you will learn all the nitty-gritty details required to use Mouse Events (to select an image filter) and TrackBars (to control the intensity of filters) in OpenCV, and to kill the dryness we will learn all these concepts by building some mini-applications, so trust me you won’t get bored.
Reading Video Sources in OpenCV: IP Camera, Webcam, Videos & GIFS
In this post, we will learn how to automatically generate the Squid Game memes just by using OpenCV and Python and will try to have fun along with learning new computer vision concepts.
Automatically Generating Squid Game Memes Using OpenCV & Python
In this post, we will learn how to automatically generate the Squid Game memes just by using OpenCV and Python and will try to have fun along with learning new computer vision concepts.
Vehicle Detection with OpenCV using Contours + Background Subtraction (Pt:4)
Watch the Full Video Here: https://www.youtube.com/watch?v=wQg7BNmi8zs Vehicle detection has been a challenging part of building intelligent traffic management systems. Such systems are critical for...
Vehicle Detection with OpenCV using Contours + Background Subtraction
In this video we will explore how you can perform tasks like vehicle detection using a simple but yet an effective approach of background-foreground subtraction. You will be learning about using background-foreground subtraction along with contour detection in OpenCV and how you tune different parameters to achieve better results.
Contour Detection 101: Contour Analysis (Pt:3)
In the third part of this series, we will be learning about analyzing contours. This is really important because by doing contour analysis you can actually recognize the object being detected and differentiate one contour from another. We will also explore how you can identify different properties of contours to retrieve useful information. Once you start analyzing the contours, you can do all sorts of cool things with them. The application below that I made, uses contour analysis to detect the shapes being drawn!
Contour Detection 101: Contour Manipulation (Pt:2)
In part two of the series, the contour manipulation techniques we are going to learn will enable us to perform some important tasks such as extracting the largest contour in an image, sorting contours in terms of size, extracting bounding box regions of a targeted contour, etc. These techniques also form the building blocks for building robust classical vision applications.