TorpedoDetectionApp_Hitech

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Features

• Object Detection and Classification: Utilizes pre-trained deep learning models to identify and classify torpedoes from camera feeds.
• Multi-Camera Support: Supports detection across multiple camera inputs.
• Modular Design: Ensures the application can be extended and maintained easily.
• Testing Framework: Includes unit tests to validate core functionalities

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Folder Structure

TorpedoDetectionApp_Hitech
|-.venv                # Virtual environment for the project
├── app                # Contains individual camera functions
│   ├── cam1.py
│   ├── cam2.py
│   ├── cam3.py
├── components         # Contains core functions for the project
│   ├── calculateBBoxInfo.py
│   ├── clsTorpedo.py
│   ├── deleteFiles.py
│   ├── detectTorpedo.py
│   ├── findLatestImageName.py
│   ├── findLatestImagePath.py
│   ├── makeCopy.py
│   └── saveImage.py
├── database           # Handles database connectivity
│   └── pushData.py
├── models             # Contains deep learning models
│   ├── cam1_classify.pt
│   ├── cam2_classify.pt
│   ├── cam3_classify.pt
│   ├── cam1_detect.pt
│   ├── cam2_detect.pt
│   └── cam3_detect.pt
├── imports.py         # Centralized imports for the project
├── main.py            # Main function to run the application
├── test               # Unit tests for core functionalities
│   ├── test_calculateBBoxInfo.py
│   ├── test_cam.py
│   ├── test_clsTorpedo.py
│   ├── test_deleteFiles.py
│   ├── test_detectModel.py
│   ├── test_detectTorpedo.py
│   ├── test_digitalCam.py
│   ├── test_env.py
│   ├── test_findLatestImageName.py
│   ├── test_findLatestImagePath.py
│   └── test_imports.py
├── images             # Directory for saving analysis images
├── images_cam1    # Images from cam1
├── images_cam2    # Images from cam2
├── images_cam3    # Images from cam3
├── temp_cam1      # Temporary storage for cam1 stream
├── temp_cam2      # Temporary storage for cam2 stream
├── temp_cam3      # Temporary storage for cam3 stream
├── testing_images # Images used for testing
|-.env                 # Environment variables
|-requirements.txt     # Dependencies for the project

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Setup Instructions

Prerequisites

Ensure you have the following installed on your system:

• Python 3.8 or higher
• pip (Python package installer)
• Virtualenv (optional but recommended)

Installation

1. Clone the repository:

   git clone https://github.com/Hi-Tech-System-Services-Ltd/TorpedoDetectionApp_Hitech.git

2. Navigate to the project directory:

   cd TorpedoDetectionApp_Hitech

3. Create and activate a virtual environment:

   • Linux/macOS:

     python3 -m venv .venv
     source .venv/bin/activate

   • Windows:

     python -m venv .venv
     .venv\Scripts\activate

4. Install dependencies:

   pip install -r requirements.txt

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Running the Project

1. Activate the virtual environment:

   .venv\Scripts\activate  # For Windows
   source .venv/bin/activate  # For Linux/macOS

2. Run the application:

   python main.py

   The application will execute in an infinite loop as a system process.

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License

This project is a property of Hi-Tech System Services Limited. All rights reserved.

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