Implementation and examples for Tile2Vec

Follow the follow instructions for getting the necessary data for the provided examples.

To get a Tile2Vec model that has been pre-trained on the NAIP dataset, download the weights provided here and save the file in the models directory: tile2vec/models/naip_trained.ckpt.

Unzip data/tiles.zip in the data directory, i.e., tile2vec/data/tiles. Within this folder, you should find 1000 tiles saved as Numpy arrays named {1-1000}tile.npy and 1 file named y.npy that contains the CDL labels corresponding to these 1000 tiles.

Download tile triplet dataset for the training example here and then unzip in the data directory, i.e., tile2vec/data/triplets. This directory contains 100k tile triplets, with each triplet identified by its index and "anchor", "neighbor", or "distant".