I'm trying to make a lane tracking system with python opencv and numpy.
I have progressed as far as it appears in the photo and I have 3 lines in my hand like this
Let's just say the code I'm using is like this
import cv2
img = cv2.imread("D:/object_detection/images/siyah.jpg")
cv2.line(img, (778, 519), (957, 693), (255,0,0),6)
cv2.line(img, (218, 632), (445, 477), (255,0,0),6)
cv2.line(img, (137, 485), (17, 516), (255,0,0),6)
cv2.imshow("img",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
now i have two questions
1 - distance between two lines
2 - midpoint between two lines
You are showing a 2d image that represents the projection of a 3d scene though a camera.
If you want to infer information about the 3d scene (lane width, for example) you need to know how the 3d scene was projected to create the 2d image. In order to do that you need to know the camera parameters (how it transforms the scene), as well as its position and orientation. Also, a single image is not (normally) enough to obtain a complete 3D reconstruction.
OpenCV gives the necessary tools for this. You can start by studying the Camera Calibration and 3D Reconstruction section.
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