Find similar patches with DINOv3¶

This notebook demonstrates how to find similar patches with DINOv3.

Install packages¶

To use the new functionality, ensure the required packages are installed.

In [ ]:

# %pip install geoai-py

# %pip install geoai-py

Import libraries¶

In [ ]:

import geoai

import geoai

Download sample data¶

In [ ]:

url = (
    "https://huggingface.co/datasets/giswqs/geospatial/resolve/main/naip_rgb_train.tif"
)
raster_path = geoai.download_file(url)

url = ( "https://huggingface.co/datasets/giswqs/geospatial/resolve/main/naip_rgb_train.tif" ) raster_path = geoai.download_file(url)

Initialize the DINOv3 processor¶

In [ ]:

processor = geoai.DINOv3GeoProcessor(
    model_name="dinov3_vitl16",
)

processor = geoai.DINOv3GeoProcessor( model_name="dinov3_vitl16", )

Extract features¶

In [ ]:

image = "naip_rgb_train.tif"
features, h_patches, w_patches = processor.extract_features(image)

image = "naip_rgb_train.tif" features, h_patches, w_patches = processor.extract_features(image)

Find similar patches¶

In [ ]:

m = geoai.Map()
m.add_dinov3_gui(image, processor, features)
m

m = geoai.Map() m.add_dinov3_gui(image, processor, features) m