Wiki | Team Members | Meeting Documentation | Our Project | Project Setup Guide | Functional & Non-Functional Requirements | Math Document | UML Diagrams | Test Report | Results¶

User Manual¶

1. Introduction
This project demonstrates how to display and “mesh” an image across two adjacent projectors, producing one larger, seamless image. It does so by applying a “mask” to the overlapping region so that the final displayed image appears continuous. The code uses OpenCV and NumPy for image processing and relies on python-dotenv for reading configuration variables (e.g., image path, projector spacing) from a .env file.

• Operating System: Mac OS (recommended/tested)
• Python: 3.x (e.g., Python 3.9+)
• Required Python Libraries:
1. numpy==2.2.0
2. opencv-python==4.10.0.84
3. python-dotenv==1.0.1

Setup¶

• Run the following command to install all required packages.
  

  pip install -r requirements.txt
  

• Locate the image_configuration.env file and adjust the settings if needed:
• IMAGE_FILE_PATH: Path to the image you want to project.
• SIDE: Set as either left or right to specify the projector's position.
• DISTANCE_BETWEEN_PROJECTOR_CM: Distance between the two projectors in centimeters.
• PROJECTION_WIDTH_CM: The total width of the projection area in centimeters​.
• GAMMA_VALUE: The exponent value when creating the mask. Increase in value increases the intensity of intersection area.

• Ensure the main.py script is in the working directory.
• Ensure the required images (e.g., Left.jpg, Right.jpg) are properly placed as referenced in the code.

Running the Application¶

1. Open a terminal in the project directory.
2. Run the following command to execute the script:
   

   python3 main.py
   

3. The script will automatically:
• Load the configuration from image_configuration.env.
• Process the images using the settings provided.
• Split and align the image for projection on two projectors.

• Alignment: The software handles automatic alignment of the image sections for both projectors.
• Projection Area: Adjust the position of the projectors to ensure proper overlapping at the image boundaries.

Troubleshooting¶

• Ensure the DISTANCE_BETWEEN_PROJECTOR_CM and PROJECTION_WIDTH_CM are accurate.
• Verify both projectors are calibrated and aligned physically.

• Install the required libraries using:
  

  pip install -r requirements.txt
  

• Verify that the image file path in image_configuration.env matches the image's location.