BSF-pi-script

A Bash script designed to simplify the installation and configuration of the BSF script on a Raspberry Pi or other Linux-based systems.

Features

• Automates the setup process for BSF on a Raspberry Pi.
• Installs necessary dependencies.
• Configures the environment for optimal performance.
• Easy-to-use script with minimal user input required.

Prerequisites

• A Raspberry Pi (or any Debian-based Linux system)
• sudo privileges
• Internet connection

Installation

1. Clone the repository:

   git clone https://github.com/Makanga-Patrick-Benjamin/BSF-pi-script.git
   cd BSF-pi-script

2. create a virtual environment:

   python3 -m venv myenv #for python venv environment
   source myenv/bin/activate

   conda create --name myenv #for conda environment
   conda activate "myenv"

4. Install Dependencies: Navigate into the cloned directory. If your project uses Python dependencies, they should be listed in a requirements.txt file. Install them using pip:

   pip install -r requirements.txt

5. Flat-Bug Model Configuration. Open and locate the "FLATBUG_MODEL_PATH" in image-read-flatbug.py and replace with the right model location on your raspberry pi:

• FLATBUG_MODEL_PATH = "/your_file_path_for_the_model_you_are_using/bestyolov8s.pt"

6. Configuration. locate the file with the images you want to classify. you have to also provide as second location where ther are to move to as shown below(locate these lines of code as well):

• INPUT_IMAGE_DIR = "/home/pato/Documents/sdf/img" # <--- IMPORTANT: SET YOUR INPUT IMAGE FOLDER HERE!
• PROCESSED_IMAGE_DIR = "/home/pato/Documents/sdf/processed_images" # Directory to move processed images. Sort and change images here after processing.

7. Execute the Script:

   python3 image-read-flatbug.py

view content on webdash board

https://soldierfly-fly-monitor.onrender.com Dashboard layout

Default credentials:

• user name: admin
• password: admin123