The provided code uses OpenCV and the PIL library to detect a specified color in real-time through the camera feed.
It captures the video, transforms it into the HSV colorspace, and detects regions with the target color, marking them with a bounding box.
Color Detector Class
Organized for easier reuse and integration into other projects.
Detects a specified color and draws a bounding box around it.
Modular design for better adaptability.
Simple Script
A streamlined version for direct color detection on the video feed without the class structure.
Usage
Install the required libraries:
pip install opencv-python Pillow
To use the ColorDetector class:
python color-detector-module.py
For the simple script:
python color-detector-script.py
Ensure you have a working camera and that the necessary permissions are granted to access the camera feed. Adjust the cap = cv2.VideoCapture(1) parameter depending on which camera you want to use. Modify the yellow variable or pass other BGR color values to detect different colors.
This script is open-source and licensed under the MIT License. For more details, check the LICENSE file.