Workflow
Last updated
Last updated
Using GSense involves following a workflow that utilizes its various functions.
Load a batch of RGB or hyperspectral images.
Compute pseudo-RGB for hyperspectral data.
Segment images using Segment Anything Model (SAM) to get all masks.
Initialize the segmentation model (default or custom).
Run segmentation.
Refine masks using Napari's editing tools.
Binarize labels
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