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.
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!
In this tutorial we will go over Deep learning using OpenCV’s DNN module in detail, I plan to cover various important details of the DNN module that is never discussed, things that usually trip of...
In the previous tutorial we learned how the DNN module in OpenCV works, we went into a lot of details regarding different aspects of the module including where to get the models, how to configure...
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...
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.
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.
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.
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.
