Preprocessing

Download the requirement.txt from the repo.
Install all the requiremnets.
create a folder named video in main folder and put the video file there.

How to Run

1. create a folder named video in main folder and put the video file there.
2. Navigate to code folder using cd code commands.
3. use make all or simply make to compile the codes.
4. First run ./ip to initailise points on the video. Click the desired four points and press Enter.
5. use ./main <videoName> <MethodNum> <arg1> <arg2> to run the code.
   • <videoName> should be given with extension.
   • <arg1> and <arg2> depends on the parameters used in that method.
   • <MethodNum> ranges from 0 to 5.
     0 stands for subtask 2 while 1-5 stands for corresponding methods.

   OR

   use ./run.sh for complete procedure.
6. use make deleteData to delete all the data and graph images.
7. use make clean to delete executables.

Analysis

The data created by running all the methods will be available in analysis/data/ folder. Utilities functions are available in ./analysis/utility/ folder.

1. Various functions have been defined in ./analysis/utility/ folder.
   • 1. compareTwoData.py takes two argument data1 (used as base data) and data2 (data to be compared) and print RMS errors.
   • 2. method4.py takes data from all the threads of method4 and combines into one.
   • 3. method5.py takes data from all the threads of method5 and combines into one.
   • 4. graph.py makes queueDensity and DynamicDensity graph as a function of frame number for any data (takes argument).
   • 5. method1_graph.py, method2_graph.py, method4_graph.py or method5_graph.py makes the corresponding tradeoff (runtime vs error) graphs.
   • 6. utility.py makes the main (comparing all the methods) tradeoff graph (runtime vs error).
2. All the graphs made during the process are saved in this ./analysis/graphs/ folder.
3. All the data are saved in ./analysis/data/ folder.

For more help regarding command line argument of utility function use func.py --help.