Added greedy search

[kushagra19]

Pull Request Description:

Added Greedy Search Algorithm and Enhanced Functionality for Trajectory and Frame Storage

Overview:

In this pull request, I've integrated a Greedy Search algorithm into the existing codebase. Additionally, I've expanded the functionality to enable more comprehensive storage of trajectories and frames, catering to both path length and region priorities.

Key Changes:

1. Greedy Search Algorithm Integration:

   • Incorporated Greedy Search algorithm similar to test_render_cv2.py into the codebase.
   • This algorithm prioritizes paths based on two factors: path length and regions, improving the efficiency of trajectory selection.

2. Enhanced Trajectory Storage:

   • Implemented functionalities to store trajectories systematically.
   • Trajectories are now stored based on experiment number, allowing for organized retrieval and analysis.

3. Frame Storage for Maximum Trajectories:

   • Added functionality to store frames corresponding to maximum trajectories.
   • Frames are saved with unique identifiers.

4. Customizable Experiment Parameters:

   • Introduced options to set the duration and number of experiments to conduct.