Lane-Detection

Lane Detection for Self Driving Cars

ENPM 673 Perception for Autonomous Robots - Project 2

Lane Detection

Steps to run

with images: end folder path containing images needs to be given
pyhton3 lane.py -dataset 1 -path /home/siddharth/Downloads/673/Project2/data/data_1/data/

Challenge video: Please ensure the video file is present in the current working directory or provide the complete file path
python3 lane.py -dataset 2
python3 lane.py -dataset 2 -path /home/siddharth/Downloads/673/Project2/data/data_2/challenge_video.mp4
(output vides will be rendered in the present working directory)

Parameters:

-dataset: 1: For the images ; 2: for challenge video
-path: path of input folder/file

Outputs from run:

Enhancing the quality of video from night drive using Histogram equalization method

Steps to run

Please ensure that the video file is in the present working directory or provide the path argument having complete video file path
python3 problem1.py -method  histogram
python3 problem1.py -method  histogram -path /home/siddharth/Downloads/673/Project2/Night\ Drive\ -\ 2689.mp4
python3 problem1.py -method  gamma
    (please note that the execution using the histogram method will take consume CPU, time and memory)

Parameters:

-method: method to be used - either histogram or gamma
-path: path of input file

Google drive link to output videos:

https://drive.google.com/drive/folders/1ivJRFKzYbeRKER1eEn-jbTcZUcTrM7-g?usp=sharing