OpenCV with Python Trying to overlay an image over the eyes on a webcam feed
Download this code from https://codegive.com
In this tutorial, we will learn how to use OpenCV, a powerful computer vision library, to overlay an image on a person's eyes in a live webcam feed. This project can be a fun way to explore facial detection and image manipulation using Python.
Before we start, make sure you have the following prerequisites:
Here's a basic project structure:
Let's create the overlay_eyes.py script step by step:
We import the required OpenCV library and load the Haar Cascade Classifier for eye detection.
The overlay.png image is loaded with the IMREAD_UNCHANGED flag to maintain transparency.
We initialize the webcam using cv2.VideoCapture(). You can change the parameter to use a different camera source.
In the main loop, we continuously capture frames from the webcam and convert them to grayscale for eye detection.
We use the Haar Cascade Classifier to detect eyes in the grayscale frame.
For each detected eye, we resize the overlay image to match the eye's dimensions and overlay it onto the frame. We check the alpha channel to handle transparency.
The modified frame is displayed using cv2.imshow().
The loop continues until you press the 'q' key, which will release the webcam and close the OpenCV windows.
In this tutorial, you've learned how to overlay an image on a person's eyes in a live webcam feed using OpenCV and Python. This project is a fun way to explore basic computer vision techniques and image manipulation. You can further customize and enhance this project by adding more overlays or exploring other OpenCV functionalities. Enjoy experimenting!
ChatGPT
