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from dataclasses import dataclass | |
from PIL import Image | |
import pandas as pd | |
from geoguessr_bot.guessr import AbstractGuessr | |
from geoguessr_bot.interfaces import Coordinate | |
from geoguessr_bot.retriever import AbstractImageEmbedder | |
from geoguessr_bot.retriever import Retriever | |
class NearestNeighborEmbedderGuessr(AbstractGuessr): | |
"""Guesses a coordinate using an Embedder and a retriever followed by NN. | |
""" | |
embedder: AbstractImageEmbedder | |
retriever: Retriever | |
metadata_path: str | |
def __post_init__(self): | |
"""Load metadata | |
""" | |
metadata = pd.read_csv(self.metadata_path) | |
self.image_to_coordinate = { | |
image.split("/")[-1]: Coordinate(latitude=latitude, longitude=longitude) | |
for image, latitude, longitude in zip(metadata["path"], metadata["latitude"], metadata["longitude"]) | |
} | |
def guess(self, image: Image) -> Coordinate: | |
"""Guess a coordinate from an image | |
""" | |
# Embed image | |
image = Image.fromarray(image) | |
image_embedding = self.embedder.embed(image)[None, :] | |
# Retrieve nearest neighbor | |
nearest_neighbors = self.retriever.retrieve(image_embedding) | |
nearest_neighbor = nearest_neighbors[0][0][0] | |
# Guess coordinate | |
guess_coordinate = self.image_to_coordinate[nearest_neighbor] | |
return guess_coordinate | |