Workflow

Using GSense involves following a workflow that utilizes its various functions.

1

Load a batch of RGB or hyperspectral images.

2

Compute pseudo-RGB for hyperspectral data.

3

Segment images using Segment Anything Model (SAM) to get all masks.

  1. Initialize the segmentation model (default or custom).

  2. Run segmentation.

4

Annotation (optional)

Refine masks using Napari's editing tools.

5

Binarizer (optional)

Binarize labels

6

Save masks and computed pseudo-RGB images

Watch the below video for a complete workflow:

  • Loading 2 hyperspectral images of TIFF file format, 1 jpg RGB image

  • Run Segmentation with ViT-h default model

  • Binarize generated masks

  • Export selected/all layers

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