BOSC is an innovative tool that leverages AI for advanced agricultural management, promoting sustainability and environmental harmony. Through aerial observation, we are paving the way for a brighter, greener future.

Accurate and efficient label of aerial images is essential for informed decision-making and resource allocation, whether in identifying crop types or delineating land-use patterns. The development of a comprehensive toolbox for manipulating and annotating aerial imagery represents a significant leap forward in remote sensing and spatial analysis.

Applications

BOSC functionalities encompass conventional forest management, including tree classification, agricultural monitoring, and applications in semi-urban and urban environment

Installation

Prerequisites

Ensure you have the following software installed on your machine:

• Python >= 3.7
• (Optional) Miniconda for managing Python environments

Step-by-Step Installation

1. Clone the Repository

First, clone the repository to your local machine using the following command:

git clone https://github.com/RicardDurall/BOSC_toolbox.git

2. Create and Activate a Conda Environment (Optional but recommended)

Navigate to the cloned BOSC directory and create a new Conda environment:

conda create -n bosc_env python=3.9

Activate the newly created environment:

conda activate bosc_env

3. Install All Dependencies

While inside the BOSC directory and with your Conda environment activated, install the required Python packages using the provided requirements.txt file:

cd BOSC_toolbox
pip install -r requirements.txt

4. Download Pretrained Model

Download the pretrained FastSAM model and save the file under the BOSC directory within the cloned repository.

5. Launch BOSC

Run the following command to start the toolbox

python app.py

Video-Turorial

A detailed tutorial can be found in the following video:

Acknowledgement

Segment Anything and FastSAM provide codes and pre-trained models.

Contact Information

For further questions or collaboration, please do not hesitate to contact us at: ricard.durall.lopez@gmail.com

Citing BOSC

If you find this project useful for your research, please consider citing us.

@misc{durall2024bosc,
      title={BOSC: A toolbox for aerial imagery mapping}, 
      author={Ricard Durall and Laura Montilla and Esteban Durall},
      year={2024},
      eprint={2406.05833},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}