Novel Frames Architecture

Installation

1. Clone the Repository

   git clone https://github.com/your-repo/frame-based-monitoring.git
   cd frame-based-monitoring

2. Install Dependencies Make sure you have Python 3.7+ installed, then install required packages:

   pip install -r requirements.txt

3. Dataset Preparation

   • Download the NuScenes dataset or another compatible dataset and place it in the designated data folder.
   • Follow any specific instructions for formatting the data for use in the project.

Folder Structure

• src/condensing: Contains the primary code for condensing static frames.
• src/symbolic_parser: Houses files for parsing and converting frames into symbolic representations.
• dynamic_frame_condensation: Future work that will expand upon static frame condensation to enable dynamic, real-time updates.

Applications

• Autonomous Systems: Enhancing decision-making by reducing the volume of static data frames processed, thereby optimizing computational resources.
• Natural Language Processing (NLP): Improving text condensation and summarization tasks by filtering repetitive frame data in symbolic language models.

The repository contains tools and methods for:

• Identifying Redundant Frames: Employing statistical analysis and clustering techniques to detect duplicate or similar frames from static datasets.
• Optimized Data Structures: Utilizing efficient data structures that facilitate condensation of static frames, enabling faster processing speeds.
• Real-World Applications: With applications in AI, robotics, and NLP, this project serves as a foundation for further research into frame-based communication, decision-making models, and symbolic processing.

The main goal of this repository is to provide a robust framework for researchers and developers working on frame condensation techniques, with a focus on both efficiency and effectiveness in data handling.

#Installation

• Clone this repository git clone https://github.com/aiea-lab/frames.git

• Navigate to the project directory cd scripts/nuscenes_main.py

• Install dependencies pip install -r requirements.txt

** Contributions are welcome! Please fork this repository, create a branch, and submit a pull request with your changes. **