How to Set Up Damage Detection Using Python

Sep 12, 2024 | Educational

Welcome to your step-by-step guide to setting up a damage detection project using Python. Today, we’ll navigate through the process of downloading the necessary files, creating a virtual environment, installing libraries, and running the project using Jupyter Notebook. Let’s get started!

Step 1: Download All Files

First, you’ll need to clone the repository and get the required data and model files. Here’s how:

  1. Open your command line interface.
  2. Clone the repository:
    python git clone https://github.com/AbdelrahmanShahrour/Damage-detection.git
  3. Get data and model files from the following link: Download Data and Models

Step 2: Create a Virtual Environment and Install Required Libraries

Next, it’s time to set up a clean working space by creating a virtual environment and installing the necessary libraries:

  1. Run the following command to create a virtual environment:
    python3 -m venv env
  2. Activate the virtual environment:
    source env/bin/activate
  3. Install all required libraries by running:
    python pip3 install -r requirements.txt

Step 3: Open Jupyter Notebook

Jupyter Notebook is where the magic happens!

  1. Start Jupyter Notebook by executing the following command:
    python jupyter notebook

Step 4: Open the Notebook and Run All Cells

Once Jupyter is open in your browser, follow these instructions:

  1. Locate and open output.ipynb.
  2. Run all the cells sequentially to execute the code and see results.

Step 5: Enjoy and Develop the Project

Now that you have set up the environment and executed the code, feel free to explore, modify, and develop this project further. Don’t forget to share your findings with the creator!

Troubleshooting Your Setup

Sometimes, even the best plans can run into issues. Here are a few troubleshooting tips:

  • **Error: Command not found** – Ensure Python and Git are installed correctly on your machine and are included in your PATH.
  • **Jupyter Notebook fails to launch** – Make sure the virtual environment is activated. Also, check your internet connection if packages failed to download.
  • **Missing Libraries** – Ensure you have installed all dependencies mentioned in the requirements.txt file.

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At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

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