OpenCV Tutorials

Table of Contents Thermal Vision: Night Object Detection with PyTorch and YOLOv5 (real project) Object Detection with Deep Learning Through PyTorch and YOLOv5 Discovering FLIR Thermal Starter Dataset Thermal Object Detection Using PyTorch and YOLOv5 Configuring Your Development Environment Having…

Table of Contents Thermal Vision: Fever Detector with Python and OpenCV (starter project) Simple Face Detection in Thermal Images Introduction Thermal Face Detection with Haar Cascades Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Face Detection…

Table of Contents Thermal Vision: Measuring Your First Temperature from an Image with Python and OpenCV Thermal Imaging Formats: Gray8 vs. Gray16 Gray8 Gray16 Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Measuring Your First Temperature…

In this tutorial, we’ll learn about a step-by-step implementation and utilization of OpenCV’s Contour Approximation. When I first chanced upon the concept of Contour Approximation, the first question that hit me was: Why? Throughout my journey in Machine Learning and…

In this tutorial, you will learn about image gradients and how to compute Sobel gradients and Scharr gradients using OpenCV’s cv2.Sobel function. Image gradients are a fundamental building block of many computer vision and image processing routines. We use gradients…

In this tutorial, you will learn about adaptive thresholding and how to apply adaptive thresholding using OpenCV and the cv2.adaptiveThreshold function. Last week, we learned how to apply both basic thresholding and Otsu thresholding using the cv2.threshold function. A diverse…

In this tutorial, you will learn how to perform edge detection using OpenCV and the Canny edge detector. Previously, we discussed image gradients and how they are one of the fundamental building blocks of computer vision and image processing. A…

In this tutorial, you will learn how to implement face recognition using the Eigenfaces algorithm, OpenCV, and scikit-learn. Our previous tutorial introduced the concept of face recognition — detecting the presence of a face in an image/video and then subsequently…

In this tutorial, you will learn how to perform face recognition using Local Binary Patterns (LBPs), OpenCV, and the cv2.face.LBPHFaceRecognizer_create function. In our previous tutorial, we discussed the fundamentals of face recognition, including: The difference between face detection and face…