Satellite SAM Dashboard

Mohanad Albughdadi. (2023). AlbughdadiM/satellite-sam-dashboard: v0.1.0 (v0.1.0). Zenodo. https://doi.org/10.5281/zenodo.8142916

About this app

This app integrates the Segment Anything Model 1 (SAM) with Sentinel-2 data. The app is built using Dash Plotly and dash leaflet 2. It allows segmenting satellite images using the two ways provided by SAM: automatic mask generator and prompt segmentation (using points and bounding boxes).

Environment

Features

• Integration of Sentinel-2 using WMS protocol.
• OSM as base map.
• Downloading Sentinel-2 data directly from the app using an ROI.
• Integration of the three available models from Meta of SAM.
• The ability to directly annotate Sentinel-2 images using bounding boxes and points.
• Different support of bounding boxes:
  • ROI
  • Object BBox
• Different support of points:
  • Foreground points
  • Background points
• Modify location of bounding boxes and points.
• Provide prompts for more than one object at a time.
• Refine segmentation inside a bounding box of an object by adding foreground and background points.
• Visualize the obtained results directly on the map.
• Download the results (RGB GeoTiff of the ROI, segmentation mask in PNG and GeoTiff).

How to deploy the app

Dev

1. Clone the repository, checkout to the dev branch, create a virtual environment and install the requirements.

git clone https://github.com/AlbughdadiM/satellite-sam-dashboard.git
cd satellite-sam-dashboard
git checkout dev
python3.10 -m venv myven
source myvenv/bin/activate
python3.10 -m pip install -r requirements.txt
mkdir src/weights
wget -P src/weights/ https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth https://dl.fbaipublicfiles.com/segment_anything/sam_vit_l_0b3195.pth https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth