Description
Complete Create a Webcam Security Camera Course Python OpenCv and Pyqt. You will learn how to create a beautiful user interface for a project using the Pyqt library and Qt Designer.
1. Installation and Configuration: First of all, we are going to install the required software to start our project from the internet. Training on installing Python, pyqt5, pyqt5-tools and opencv library. Then you are planning to learn how to install vscode and configure vscode in Python programming through this course.
2. Design the User Interface: Then we are going to design 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. Then you will learn how to provide floating effect to QPushButtons and how to change images in qlabels dynamically.
3. Camera photography and display in window: Then we are going to implement camera using cv2 library and record the images in camera. Then we show the captured images in cv2 window.
4. Image Processing: Then we convert the images to the formats we need to identify 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 cv2 library. It shows the captured objects in green color for easy identification.
6. Display the captured objects: Then we save the captured objects to an image file. Then the captured image file is displayed in 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’s in Build Complete Webcam Security Camera | You will learn Python OpenCv and Pyqt
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How to detect and identify 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 get the contours of detected objects in a video frame captured by a webcam and draw rectangles of the detected objects.
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How to find the area of lines detected by OpenCV in images captured by camera and provide alert sound when object is found
This course is suitable for those 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 create their own security camera software using a webcam
- Python learners who want to improve their skills and get into artificial intelligence programming
Build Complete Webcam Security Camera Course Python OpenCv and Pyqt Specifications
- Publisher: Udemy
- Teacher: Muthu Manvandi
- Training level: Beginner to advanced
- Training duration: 1 hour 41 minutes
- Number of courses: 26
Course Topics Build a Complete Webcam Security Camera | Python OpenCV and Pyqt
Build Complete Webcam Security Camera Course Python OpenCv and Pyqt Prerequisites
- Basic Python Programming
- A computer or laptop with an internet connection
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