Files
gps-denied-onboard/tests/test_gpr.py
T

42 lines
1.3 KiB
Python

"""Tests for Global Place Recognition (F08)."""
import numpy as np
import pytest
from gps_denied.core.gpr import GlobalPlaceRecognition
from gps_denied.core.models import ModelManager
from gps_denied.schemas.gpr import TileCandidate
@pytest.fixture
def gpr():
manager = ModelManager()
gpr = GlobalPlaceRecognition(manager)
gpr.load_index("flight_123", "dummy_path.faiss")
return gpr
def test_compute_location_descriptor(gpr):
img = np.zeros((200, 200, 3), dtype=np.uint8)
desc = gpr.compute_location_descriptor(img)
assert desc.shape == (4096,)
# Should be L2 normalized
assert np.isclose(np.linalg.norm(desc), 1.0)
def test_retrieve_candidate_tiles(gpr):
img = np.zeros((200, 200, 3), dtype=np.uint8)
candidates = gpr.retrieve_candidate_tiles(img, top_k=5)
assert len(candidates) == 5
for c in candidates:
assert isinstance(c, TileCandidate)
assert c.similarity_score >= 0.0
def test_retrieve_candidate_tiles_for_chunk(gpr):
imgs = [np.zeros((200, 200, 3), dtype=np.uint8) for _ in range(5)]
candidates = gpr.retrieve_candidate_tiles_for_chunk(imgs, top_k=3)
assert len(candidates) == 3
# Ensure they are sorted
assert candidates[0].similarity_score >= candidates[1].similarity_score