kanzeka

Build Complete Webcam Security Camera | Python OpenCV & Pyqt Step-by-step guide| Build your own webcam security camera alert system using Python Pyqt OpenCv QtDesigner from scratch What you’ll learn Build Complete Webcam Security Camera | Python OpenCV & Pyqt How to detect and recognize objects in webcam-captured images using OpenCV Python code. Learn to convert images to greyscale, the difference between two images, and gaussian blur in opencv python. Learn to get contours of detected objects in webcam-captured video frames and draw rectangles of detected objects. How to find the area of contours detected by the opencv in the camera-captured images and provide an alarm sound if any object Requirements Basic Python programming A computer or laptop with an internet connection Description Hello Students Welcome to the course “Build Complete Webcam Security Camera | Python OpenCv & Pyqt.” You will learn how to create a beautiful user interface for the project using Pyqt Library and the Qt Designer. 1. Installation and configuration First, we willinstall the required softwareto start our project from the internet.Learn to install Python, pyqt5, pyqt5-tools and OpenCV library. Then you will learn how to install the vs code and configure vs code to python programming through this course. 2. Design the user interface Then we are going todesign a beautiful user interface using Qt Designer. In this interface, we will use basic controls likeQPushButton, QLabel, and QSliderand learnhow to use style sheetsto make the controls look good. Then you will learn how to provide thehover effectsto the QPushButtons and change the images in the dynamic labels. 3. Camera Capture and display in the window Then we willimplement the camera using the cv2 libraryandcapture the imagesin the camera. Then weshow the captured imagesin the cv2 window. 4. Image processing Then we willconvert the images to our required formatsto identify the contours in the images. We will firstconvert the images to grayscaleimages using OpenCV.Then we are going todilate images using OpenCV. Then we willcollect all the contours in the imagesusing opencv python. 5. Object Detection Then will find thecontour area greater than 5000anddraw a rectangle using the cv2library for the captured objects. This shows the captured objects in green colour to identify them easily. 6. Display captured objects Then we are going tosave the captured objectsin an image file. The captured image file is thenlabelledin the pyqt window. This isused to identify the object even if the object passes the cam area. This project will teach you many basic functions in the OpenCV library and how to use basic controls using qt designer and process the GUI controls using python code. Thank you for your interest in this course… I will see you on the course. Who this course is for: Developers who want to learn OpenCV and develop a complete project using open cv Students who want to develop a complete project using opencv and pyqt for final-year submission Students or developers who want to build their security camera software using a webcam Python learners who want to increase their skills and enter into Artificial Intelligence programming

DOWNLOAD APP https://bit.ly/3FpWUjk Looking for the best football app to stay up-to-date on all the latest scores, news, and analysis? Look no further than our expertly crafted football app, designed for knowledgeable fans who want the latest information at their fingertips. With real-time updates, detailed analysis from top experts, and a user-friendly interface, our football app is the perfect way to stay on top of the game. Download now and dive into the world of football like never before!" Keywords: football app, expert analysis, scores, news, real-time updates, detailed analysis, top experts, user-friendly interface, download, world of football.

https://youtu.be/Gi9RYRr0lwg

DOWNLOAD Andrew Tate Hustlers University Top G All Course Available https://bit.ly/3Y3LVn6 MY SOCIAL MEDIA WEBSITES https://bit.ly/3Y0YiA5 TELEGRAM CHANNEL https://bit.ly/40r6ueM