User Manual » History » Revision 11
Revision 10 (Nathanael Muin JUSTIN, 01/15/2025 06:01 PM) → Revision 11/15 (GENKI MATSUNAGA, 01/16/2025 01:08 PM)
> h2. [[Wiki]] | [[Team Members]] | [[Meeting Documentation]] | [[Our Project]] | [[Project Setup Guide]] | [[Functional & Non-Functional Requirements]] | [[Math Document]] | [[UML Diagrams]] | [[Test Report]] | [[Results]] h1. 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. *2. System Requirements* * Operating System: Mac OS (recommended/tested) * Python: 3.x (e.g., Python 3.9+) * Required Python Libraries: # numpy==2.2.0 # opencv-python==4.10.0.84 # python-dotenv==1.0.1 h1. Setup *Step 1: Install required packages* * Run the following command to install all required packages. <pre><code class="shell"> pip install -r requirements.txt </code></pre> *Step 2: Configure the Environment* * 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. *Step 3: Preparing the Code* * 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. h1. Running the Application # Open a terminal in the project directory. # Run the following command to execute the script: <pre><code class="shell"> python3 main.py chmod +x run.sh ./run.sh </code></pre> # 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. h1. Troubleshooting *Issue 1: Misaligned Images* * Ensure the DISTANCE_BETWEEN_PROJECTOR_CM and PROJECTION_WIDTH_CM are accurate. * Verify both projectors are calibrated and aligned physically. *Issue 2: Missing Libraries* * Install the required libraries using: <pre><code class="python"> pip install -r requirements.txt </code></pre> *Issue 3: Image File Not Found* * Verify that the image file path in *image_configuration.env* matches the image's location.