This project demonstrates lane detection in images and videos using OpenCV. It includes several utility functions for edge detection, region of interest selection, and optimizing lane lines in a video.

• test_image.jpg: An example image for testing lane detection.

• utility folder: Contains utility functions for lane detection.

Make sure you have the following Python libraries installed:

• OpenCV (cv2)
• NumPy (numpy)
• Matplotlib (matplotlib)

You can install these dependencies using pip:

pip install opencv-python numpy matplotlib

•   Clone the repository:
  

Copy code git clone https://github.com/yourusername/lane-detection.git cd lane-detection

•   Run the lane detection script:
  

Copy code python lane_detection.py

• The script will process the video "test2.mp4" for lane detection and display the output.

•   Press 'q' to exit the video playback.
  

• cannyimage: Performs Canny edge detection on an input image.
• region_of_interest: Defines a region of interest in the image where lane lines are expected.
• makeCoordinates: Calculates coordinates for drawing lane lines.
• optimizedLines: Optimizes and averages detected lane lines.
• display_line_image: Draws the detected lane lines on an image.

MRUNMAYEE RANE

• GitHub: https://github.com/mrunmayee17