file name : GammaCorrection.py file name : LaneDetection.py
Running instructions for GammaCorrection:
- To execute the code for problem 1, run the command
python3 GammaCorrection.py. You will get the output which is being compared with the original video. - Make sure the .py file and the video are in the same directory.
- The code will also write the output into the current directory.
- The program will destroy all the windows once the video has finished playing.
Running instructions for LaneDetection:
-
To run the code for problem two, provide the relative path to the input video as an argument. For example, if the video is a file named
challenge_video.mp4in a directory called Videos that is in the same directory as the code, then you have to type the following command:python3 LaneDetection Videos/challenge_video.mp4
in the terminal. 2) Make sure the py file and the directory containting the videos are in the same directory. 3) Additionally you can also type "-h" for help:
`python3 LaneDetection -h`
- We have converted the frames that were provided to us into a video and renamed it as DayDrive.mp4
- After processing, OpenCV will display the original video alongside the final result. OpenCV will loop the video indefinitely until you decide to stop the program. Use Control-C in the terminal to exit the video.
- The code will write the output into the current directory before processing the video.
We imported the following libraries:
- numpy
- cv2
- sys
- math
- argparse
Results for GammaCorrection: You will be able to see a pop up with the brighter video along with the original video
Results for LaneDetection: Based on your choice of video you will see a pop up with detected lanes and turn prediction being compared with the original video.
The video output of our program can be found in the links below:
- Day drive result: https://drive.google.com/open?id=1rCX3lqPK5dk8fWKKc79EiC4bV_fdv5ed
- Challenge result: https://drive.google.com/open?id=10ieWuzF8WZSwEkLLht0K0qhOLmLJqB8c