Motion Detection Using OpenCV in Python – My journey through to a successful project

Motion detection algorithms form an important part of a video surveillance system. It can also be coupled with many AI-based human presence and profiling systems. Many applications of motion detection algorithms may be thought of with substantive advantages in saving man-hours, efforts, and storage requirements, that is: Out of my sheer personal experience, which I … Read more

Combine Images Using Numpy

Summary: You can combine images represented in the form of Numpy arrays using the concatenate function of the Numpy library as np.concatenate((numpydata_1, numpydata_2), axis=1). This combines the images horizontally. Use syntax: np.concatenate((numpydata_1, numpydata_2), axis=0) to combine the images vertically. Problem Formulation Consider you have two images represented as Numpy arrays of pixels. How will you … Read more

How to Install OpenCV (cv2) on PyCharm?

OpenCV is a framework for image processing and image recognition—among other things. It’s a super powerful tool in your data science and machine learning toolbelt! But how to install it in your PyCharm environment? This article will show you how! Problem Formulation: Given a PyCharm project. How to install the OpenCV library in your project … Read more

Python OpenCV Image Processing – Resize, Blend, Blur, Threshold, Convert

This tutorial is an introduction to the OpenCV library. Learn how to convert color channels, resize, blend, blur, and threshold images in Python. The OpenCV [1] library contains most of the functions we need for working with images. Handling images in programming requires a different intuition than handling text data. An image is made up … Read more