nakul3112/Lane-Detection-and-Turn-Prediction-for-Autonomous-cars ? reverse-engineered prompt

Build me a Python app that takes a road video and detects the left and right lane lines, then draws the lane area back onto the original frames and shows the car’s position relative to the center of the lane. It should also estimate the lane curvature and display that on the video as part of the output.

Use the traditional computer vision approach described here, with camera undistortion, perspective transform to a bird’s eye view, noise reduction, thresholding with gradients and color filters, sliding window lane detection, polynomial fitting, and then warping the result back onto the road view. It should work on the sample driving video in the repo and save an output video showing the detected lanes clearly.

Keep it simple and practical, with a single script I can run from the command line, and make sure the code is readable and easy to tweak if the threshold values need adjusting. If you need to check anything current about OpenCV functions or best practices, look up the latest docs online.