Description
Build Complete Webcam Security Camera course Python OpenCv & Pyqt. You will learn how to create a beautiful user interface for a project using Pyqt Library and Qt Designer.
1. Installation and configuration: First, we are going to install the software needed to start our project from the Internet. Training to install Python, pyqt5, pyqt5-tools and opencv library. Then you plan to learn how to install 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 use basic controls like QPushButton, QLabel, QSlider and how to use style sheets for controls to make them look good. You will then learn how to provide floating effects to QPushButtons and how to dynamically change images in qlabels.
3. Camera photography and display in the window: Then we are going to implement the camera using the cv2 library and record the images in the camera. Then we show the captured images in the cv2 window.
4. Image processing: Then we convert the images into the formats we need to identify the lines in the images. First, we convert the images to grayscale using opencv. Then we blur the images using Gaussian blur in opencv python. Then we want to expand the images using opencv. Then, using opencv python, we collect all the lines in the images.
5. Object detection: Then it finds the contour area larger than 5000 and draws a rectangle for the captured objects using the cv2 library. It shows captured objects in green for easy identification.
6. Display the captured objects: Then we save the captured objects in an image file. Then the captured image file is displayed in a qlabel in the pyqt window. This is used to detect the object even if the object passes through the cam area.
By doing this project, you will learn many basic functions in opencv library and how to use basic controls using qt designer and how to process GUI controls using python code.
What in Build Complete Webcam Security Camera | You will learn Python OpenCv & Pyqt
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How to identify and detect objects in webcam images using OpenCV Python code.
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Training to convert images to gray scale, difference between tow images, Gaussian blur in opencv python
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Learn to obtain contours of detected objects in video frames captured by a webcam and draw rectangles of detected objects.
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How to find the area of lines detected by opencv in the images captured by the camera and provide an alert sound if the object is found
This course is suitable for people who
- Developers who want to learn opencv and develop a complete project using opencv
- 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 a webcam
- Python learners who want to improve their skills and get into artificial intelligence programming
Specifications of the Build Complete Webcam Security Camera course Python OpenCv & Pyqt
- Publisher: Udemy
- teacher: Muthu Manavandi
- Training level: beginner to advanced
- Training duration: 1 hour and 41 minutes
- Number of courses: 26
Headlines of the Build Complete Webcam Security Camera course Python OpenCv & Pyqt
Prerequisites of the Build Complete Webcam Security Camera course Python OpenCv & Pyqt
- Basic Python programming
- A computer or laptop with internet connection
Course images
Sample video of the course
Installation guide
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download link
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