Video Link=> https://drive.google.com/file/d/1D65ypbX8alYWWjPwiui66_wiyAkP25vA/view?usp=sharing

This project is a simple color detection and tracking application using Python and OpenCV. It allows you to interactively specify a color range and track objects of that color in real-time video from your webcam.

• Real-time color detection and tracking.
• Interactive adjustment of color range using trackbars.
• Webcam integration for live video input.
• Easy-to-use graphical user interface.

Before running the Color Detection From Webcam project, ensure you have the following installed:

• Python 3.x
• OpenCV (cv2)

You can install OpenCV using pip:

pip install opencv-python

1. Clone this repository to your local machine:

   git clone https://github.com/Ahmad10Raza/Color_Detection_From_Webcam.git

2. Navigate to the project directory:

   cd Color_Detection_From_Webcam

3. Run the Color Detection application:

   python Color_Detection_With_Contours.py

4. Adjust the color range using the trackbars to detect and track objects of the specified color.

5. Press the 'Esc' key to exit the application.

• Launch the application and make sure your webcam is active.
• Use the trackbars to adjust the lower and upper HSV values to specify the color range you want to detect.
• The program will display the original video feed along with a mask showing the detected color range and the resulting color-tracked video.

Contributions are welcome! If you'd like to contribute to this project, please open an issue or submit a pull request.

This project is licensed under the MIT License - see the LICENSE file for details.

• Thanks to the OpenCV community for the powerful computer vision library.
• Inspired by the need for simple color detection and tracking tools.

• Ahmad Raza

Happy color detection! 🌈