Build Complete Webcam Security Camera | Python OpenCv & Pyqt

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.1 GB
  • Uploaded Bytutsnode
  • Downloads162
  • Last checkedFeb. 06th '23
  • Date uploadedFeb. 05th '23
  • Seeders 72
  • Leechers33
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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

Files:

Build Complete Webcam Security Camera Python OpenCv & Pyqt [TutsNode.net] - Build Complete Webcam Security Camera Python OpenCv & Pyqt 8. Monitoring process
  • 3. Finding difference between the images and creating contours using OpenCv.mp4 (118.7 MB)
  • 5. Creating the captured image in the Qt Designer window using python.mp4 (104.2 MB)
  • 2. Finding difference between the images and creating gaussian blur using OpenCv.mp4 (62.6 MB)
  • 1. We are going to capture camera using OpcnCV and showing it in the screeen..mp4 (61.6 MB)
  • 4. Creating sound if any objects found using OpenCv.mp4 (53.7 MB)
3. Image resources
  • 1.1 background2.png (55.7 KB)
  • 1.3 icon2.png (5.8 KB)
  • 1.2 icon1.png (5.3 KB)
  • 1.4 icon3.png (4.6 KB)
  • 1. Image resources for project.html (0.0 KB)
5. Download user interface file
  • 1.1 pyqt-security-cam.ui (4.6 KB)
  • 1. Students can download the user interface file source code from this lecture.html (0.0 KB)
9. Download Source codes
  • 1.2 pyqt-security-cam.ui (4.6 KB)
  • 1.1 pyqt-security-cam.py (2.4 KB)
  • 1. Students can download the python file and user interface file source codes.html (0.0 KB)
7. Connecting all the buttons with required functions
  • 2. Setting the volume level control works properly with volume slider.mp4 (68.7 MB)
  • 3. Setting wait time and hides the volume slider and showing the volume level.mp4 (60.9 MB)
  • 1. Connecting all qpushbuttons with required Python functions.mp4 (56.9 MB)
  • 4. Creating volume variable and collect data from the volume slider.mp4 (21.7 MB)
4. Creating form design using Qt Designer
  • 2. Add QPushButton and provide styles like hover effects and icon size setting.mp4 (61.3 MB)
  • 4. Create volume indicator label and volume control slider using Qt Designer.mp4 (48.8 MB)
  • 1. Create the new window size and set the back ground using Qt Designer.mp4 (47.1 MB)
  • 3. Create QPushButton for volume control, exit the project and copy previous style.mp4 (27.5 MB)
  • 5. Create image display using QLabel in the computer window using Qt Designer.mp4 (26.0 MB)
6. Connecting Pyqt - Qt Designer ui file to the python code
  • 2. Creating New class from python file and opening the pyqt - qt designer ui file.mp4 (52.2 MB)
  • 1. Creating new python file and loading the pyqt - qt designer generated ui file.mp4 (35.5 MB)
1. Introduction
  • 1. Introduction - How to execute this project from Python code. Explains how opencv.mp4 (41.0 MB)
2. Software installation for coding and designing and processing
  • 5. Learn how to install Visual Studio Code and configure to python.mp4 (40.5 MB)
  • 1. Learn how to install Python software.mp4 (29.2 MB)
  • 2. Learn how to install pyqt5 and pyqt5-tools libraries.mp4 (27.0 MB)
  • 3. Learn how to configure Qt Designer to desktop.mp4 (21.1 MB)
  • 4. Learn how to install opencv library.mp4 (6.1 MB)
10. Thank you
  • 1. Thank you for joining this course.mp4 (5.9 MB)
  • TutsNode.net.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
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