Steps To Run The Code:

1. clone the repo
2. change the mode of the file.sh to Execute by:
   chmod +x file.sh
3. Run the file.sh using: sh file.sh -d <0 or 1> -i <Path of the input video> or
   ./file.sh -d <0 or 1> -i <Path of the input video>
4. The output video will be found in the same directory with name output.mp4

Debug mode:

1. if the dubug <-d> is 0 then that's mean the output video will be in the format:
2. if the dubug <-d> is 1 then that's mean the output video will be in the format:

Dependencies and how to install it:

1. numpy, to install:
   pip install numpy
2. opencv, to install:
   pip install opencv-python
3. matplotlib, to install:
   pip install matplotlib
4. moviepy, to install:
   pip install moviepy

Pipeline of the code:

1. Thresholding:
   
2. Prespective Transform:
   
3. Lanes Detection:
   
4. Return to Actual Scale:
   
5. Add lane marks to actual image: