OpenCV

How-tos OpenCV Convolution This tutorial explores OpenCV convolution using the filter2D() function in Python. Learn how to find the convolution of two matrices or images, apply various filters, and enhance … ↗ How-tos OpenCV Histogram Equalization This article teaches how to perform histogram equalization on colored images using OpenCV's equalizeHist() function. Learn the difference between standard histogram equalization … ↗ How-tos How to OpenCV Save Image Learn how to save images using OpenCV's imwrite() function in Python. This comprehensive guide covers various methods, including saving in different formats and adjusting image … ↗ How-tos The imwrite() Function of OpenCV This tutorial discusses the imwrite() function of OpenCV, detailing how to save images in various formats like JPEG and PNG. Learn about image quality settings, error handling, and … ↗ How-tos How to Capture and Save Video Using OpenCV Learn how to capture and save video from a webcam using OpenCV with Python. This comprehensive guide covers setup, capturing video, saving files, and processing frames. Perfect for … ↗ How-tos How to Use the waitKey Function in OpenCV Learn how to use the waitKey function in OpenCV to manage image displays and user inputs. This comprehensive guide covers the basics of waitKey, how to display images, and close … ↗ How-tos How to Getting Started With OAK-1 Camera Boards In this article, we will see what is OpenCV AI Kit (OAK-1) camera all about, its specification and software installation steps. ↗ How-tos How to Recognize Face in Python OpenCV This tutorial will discuss recognizing faces present in an image using the face recognition library in OpenCV. ↗ How-tos OpenCV Webcam In this short demonstration we learn how we can access a webcam and display that live feed with the help of Python and OpenCV. ↗ How-tos Introduction to OpenCV JavaScript This article introduces OpenCV and educates how we can use the opencv.js binding of OpenCV. ↗ How-tos Adaptive Threshold Using OpenCV In this article, we will see what is adaptive thresholding in detail using OpenCV. ↗ How-tos How to Detect Rectangle in Python OpenCV Detect rectangles in images using OpenCV in Python. This article explores using findContours(), contourArea(), and HoughLinesP() functions for effective shape detection in computer … ↗ How-tos Matrix Multiplication in OpenCV This tutorial will discuss multiplying two matrices using the asterisk operator, the multiply() function, and the gemm() function of OpenCV. ↗ How-tos How to OpenCV Bounding Box This article teaches how you can find bounding boxes around shapes present in an image using the boundingRect() function of OpenCV. ↗ How-tos How to Detect Shape in OpenCV This article teaches how you can detect shapes present in an image using the findContours() and approxPolyDP() functions of OpenCV. ↗ How-tos How to Create Image in Python OpenCV This article teaches the ways of creating an image in OpenCV. ↗ How-tos How to Compare Images in OpenCV This article teaches how you can compare images using the norm() and compareHist() functions of OpenCV. ↗ How-tos How to Read Video in OpenCV This article discusses reading a video using the VideoCapture() function of OpenCV in Python. ↗ How-tos How to Detect Line in Python OpenCV This article discusses detecting lines in an image using the HoughLines() and HoughLinesP() function of OpenCV in Python. ↗ How-tos How to Combine Images in OpenCV This tutorial will discuss combining two images using the concatenate() function of NumPy in Python. ↗ How-tos How to Calculate Average Color of Image in OpenCV This tutorial will discuss finding the average color of an image using the average() function of NumPy in Python. ↗ How-tos How to Use Erode in OpenCV This tutorial will discuss finding the erosion of an image using the erode() function of OpenCV. ↗ How-tos How to Detect Edge in Python OpenCV This tutorial will discuss detecting edges in an image using the canny or Sobel edge detector in OpenCV. ↗ How-tos How to Detect Object in Python OpenCV This tutorial will discuss detecting objects present in an image or video stream using the cascade classifier and YOLO in OpenCV. ↗