| 0 | 220.8 KB | ||
| 1. Create the new window size and set the back ground using Qt Designer.mp4 | 47.1 MB | ||
| 1. Creating new python file and loading the pyqt - qt designer generated ui file.mp4 | 35.5 MB | ||
| 1. Image resources for project.html | 0 B | ||
| 1. Introduction - How to execute this project from Python code. Explains how opencv.mp4 | 41 MB | ||
| 1 | 330.3 KB | ||
| 1. Connecting all qpushbuttons with required Python functions.mp4 | 56.9 MB | ||
| 1. Learn how to install Python software.mp4 | 29.2 MB | ||
| 1. Students can download the python file and user interface file source codes.html | 0 B | ||
| 1. Students can download the user interface file source code from this lecture.html | 0 B | ||
| 1. Thank you for joining this course.mp4 | 5.9 MB | ||
| 1. We are going to capture camera using OpcnCV and showing it in the screeen..mp4 | 61.6 MB | ||
| 1.1 background2.png | 55.7 KB | ||
| 1.1 pyqt-security-cam.py | 2.4 KB | ||
| 1.1 pyqt-security-cam.ui | 4.6 KB | ||
| 1.2 icon1.png | 5.3 KB | ||
| 1.2 pyqt-security-cam.ui | 4.6 KB | ||
| 1.3 icon2.png | 5.8 KB | ||
| 1.4 icon3.png | 4.6 KB | ||
| 2 | 268.6 KB | ||
| 2. Add QPushButton and provide styles like hover effects and icon size setting.mp4 | 61.3 MB | ||
| 2. Creating New class from python file and opening the pyqt - qt designer ui file.mp4 | 52.2 MB | ||
| 2. Finding difference between the images and creating gaussian blur using OpenCv.mp4 | 62.6 MB | ||
| 2. Learn how to install pyqt5 and pyqt5-tools libraries.mp4 | 27 MB | ||
| 2. Setting the volume level control works properly with volume slider.mp4 | 68.7 MB | ||
| 3 | 395 KB | ||
| 3. Create QPushButton for volume control, exit the project and copy previous style.mp4 | 27.5 MB | ||
| 3. Finding difference between the images and creating contours using OpenCv.mp4 | 118.7 MB | ||
| 3. Learn how to configure Qt Designer to desktop.mp4 | 21.1 MB | ||
| 3. Setting wait time and hides the volume slider and showing the volume level.mp4 | 60.9 MB | ||
| 4. Create volume indicator label and volume control slider using Qt Designer.mp4 | 48.8 MB | ||
| 4. Creating sound if any objects found using OpenCv.mp4 | 53.7 MB | ||
| 4. Creating volume variable and collect data from the volume slider.mp4 | 21.7 MB | ||
| 4. Learn how to install opencv library.mp4 | 6.1 MB | ||
| 5. Create image display using QLabel in the computer window using Qt Designer.mp4 | 26 MB | ||
| 5. Creating the captured image in the Qt Designer window using python.mp4 | 104.2 MB | ||
| 5. Learn how to install Visual Studio Code and configure to python.mp4 | 40.5 MB | ||
| TutsNode.net.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
| 4 | 383.1 KB | ||
| 5 | 251 KB | ||
| 6 | 111.5 KB | ||
| 7 | 72.5 KB | ||
| 8 | 262.7 KB | ||
| 9 | 312 KB | ||
| 10 | 213.3 KB | ||
| 11 | 452.2 KB | ||
| 12 | 509 KB | ||
| 13 | 497.1 KB | ||
| 14 | 30.8 KB | ||
| 15 | 354.2 KB | ||
| 16 | 16 KB | ||
| 17 | 51.1 KB | ||
| 18 | 482 KB | ||
| 19 | 350.1 KB | ||
| 20 | 452.3 KB | ||
| 21 | 419.6 KB | ||
| ▲ 57 total files | |||
Description
Hello Students
Welcome to the course “Build Complete Webcam Security Camera | Python OpenCv & Pyqt”
You will learn how to create beautiful user interface to the project using Pyqt Library and the Qt Designer.
1. Installation and configuration
First we are going to install the required software to start our project from the internet. Learn to install Python, pyqt5, pyqt5-tools and opencv library. Then you are going to 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 to design the beautiful user interface using Qt Designer. In this interface we are going to use basic controls like QPushButton, QLabel, QSlider and how to use style sheets to the controls to look good. Then you will learn how to provide the hover effects to the QPushButtons and how to dynamically change the change the images in the qlabels.
3. Camera Capture and display in window
Then we are going to implement the camera using cv2 library and capture the images in the camera. Then we show the captured images in the cv2 window.
4. Image processing
Then we will convert the images to our required formats to identify contours in the images. We will first convert the images to grayscale image using opencv. Then we will blur the images using gaussian blur in opencv python. Then we are going to dilate images using opencv. Then we are going to collect all the contours in the images using opencv python.
5. Object Detection
Then will find the contour area greater than 5000 and draw rectangle using cv2 library for the captured objects. This shows the captured objects in green colour to identify easily.
6. Display captured objects
Then we are going to save the captured objects in a image file. The captured image file is then displayed in a qlabel in the pyqt window. This is used to identify the object even if the object passes the cam area.
By doing this project you will learn lot of basic functions in opencv library and how to use basic controls using qt designer and how to process the GUI controls using python code.
Thank you for your interest in this course…
I will see you in 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 own security camera software using webcam
Python learners who want to increase their skills and enter into Artificial Intelligence programming
Requirements
Basic Python programming
A computer or laptop with internet connection
Last Updated 1/2023
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 547.3 MB | freecoursewb | 5 days | 67 | 3 | |
| 1.3 GB | freecoursewb | 1 month | 14 | 5 | |
| 991.5 MB | freecoursewb | 1 month | 20 | 17 | |
| 2.4 GB | freecoursewb | 1 month | 1 | 0 | |
| 1.8 GB | freecoursewb | 4 months | 12 | 0 |
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