In this tutorial, we will learn how to use OpenCV to perform template matching. Template matching is a simple form of object detection that is computationally inexpensive. It involves finding areas of an image that are similar to a patch (template).

Today, we will learn about the sliding window technique for object detection. In object detection, sliding windows are used with a classifier to detect objects in an image. The classifier is trained on a set of images that contain the object of interest.

In this tutorial, we will learn how to perform color-based object detection using OpenCV and Python. We will be using the HSV color space to detect objects in images and videos.

In this tutorial, we are going to build a simple barcode and QR code scanner using OpenCV and the ZBar library. The ZBar library will be responsible for detecting and localizing the QR codes and barcodes. OpenCV will be used for some pre...

In this tutorial, I'll show you how to use the YOLO model, and specifically YOLOv3, to detect objects in images and real-time videos using Python and OpenCV. YOLO (You Only Look Once) is a single stage object detector, meaning it makes predictions ...

In this tutorial, we will use the YOLO object detection algorithm to detect objects in images and videos. Object detection is a computer vision task that involves identifying and localizing objects in an image or video. It is a challenging task that ...

In this tutorial, we are going to see how to use the bitwise operations AND, OR, XOR, and NOT. Bitwise operations are used in image processing to extract a Region of Interest (ROI) from an image.

In this tutorial, we will learn how to use OpenCV to remove background from videos using a technique named background subtraction. Background subtraction is a common technique used in computer vision to detect moving objects in a video.