Main project - Simulation and Model Training for "Automatic Compressive Sensing of Shack-Hartmann Sensors based on Vision Transformer"

This dataset, referred to as the "Main Project", encompasses comprehensive simulation tools and model training resources developed for enhancing the comprehension and application of vision transformers in optical sensing systems. And you must refer to the README.md file in the project's root directory for detailed setup instructions and guidelines on how to properly configure and prepare your environment before running the project. This includes creating necessary directories to ensure the software functions correctly. And this file is provided to guide users through the execution of the scripts. While the execution results will be stored directly in output files within the project's directory, the README does not cover the detailed interpretation of these results, focusing instead on ensuring users can successfully run the simulations. The core contents of this software include: Code for Generating Training and Testing Data: Scripts designed to simulate realistic data scenarios that the vision transformer models are expected to process. Model Initialization and Training Code: Detailed scripts and configuration files necessary for setting up and training the vision transformer models. Performance Testing Simulations: Codes that specifically allow for the evaluation of the trained models under various test conditions to assess their accuracy and robustness. The provided resources aim to facilitate the replication of the study's results and enable further exploration into adaptive optical systems using vision transformers.