The project aims to develop a ship detection system using Convolutional Neural Networks (CNNs). Ship detection has applications in various fields, including maritime surveillance, environmental monitoring, and security. This report outlines the libraries, algorithms, techniques, accuracy, loss, and model used in the project.
Open a terminal or command prompt.
Navigate to the directory where you want to create the virtual environment.
Run the following command to create a virtual environment named "myenv":
python -m venv myenv
Replace "myenv" with your preferred name for the virtual environment.
To activate the virtual environment:
On Windows: myenv\Scripts\activate
On macOS and Linux: source myenv/bin/activate
Navigate to the directory containing your project's requirements.txt file.
Activate your virtual environment (if you are using one).
Open a terminal or command prompt.
Run the following command to install the libraries listed in the requirements.txt file: pip install -r requirements.txt
After Navgite to project directory python app.py
OutPut:
