| import pytest |
| import numpy as np |
| from app.services.face_engine import FaceEngine |
|
|
| def test_face_engine_initialization(): |
| |
| engine = FaceEngine() |
| assert hasattr(engine, 'mock_mode') |
|
|
| def test_face_engine_mock_mode_detection(): |
| engine = FaceEngine() |
| engine.mock_mode = True |
| |
| |
| dummy_image = np.zeros((480, 640, 3), dtype=np.uint8) |
| |
| faces = engine.detect_faces(dummy_image) |
| assert len(faces) == 1 |
| assert "bbox" in faces[0] |
| assert "confidence" in faces[0] |
| assert "landmarks" in faces[0] |
| assert len(faces[0]["landmarks"]) == 5 |
|
|
| def test_face_engine_mock_mode_embedding(): |
| engine = FaceEngine() |
| engine.mock_mode = True |
| |
| dummy_face = np.zeros((112, 112, 3), dtype=np.uint8) |
| embedding = engine.extract_embedding(dummy_face) |
| |
| assert embedding.shape == (512,) |
| |
| norm = np.linalg.norm(embedding) |
| assert pytest.approx(norm, abs=1e-5) == 1.0 |
|
|
| def test_face_engine_liveness(): |
| engine = FaceEngine() |
| engine.mock_mode = True |
| |
| dummy_image = np.zeros((480, 640, 3), dtype=np.uint8) |
| score, is_live = engine.check_liveness(dummy_image, [100, 100, 200, 200]) |
| |
| assert score >= 0.0 and score <= 1.0 |
| assert isinstance(is_live, bool) |
|
|
| def test_cosine_similarity(): |
| engine = FaceEngine() |
| |
| v1 = np.array([1.0, 0.0, 0.0], dtype=np.float32) |
| v2 = np.array([1.0, 0.0, 0.0], dtype=np.float32) |
| v3 = np.array([0.0, 1.0, 0.0], dtype=np.float32) |
| |
| assert pytest.approx(engine.cosine_similarity(v1, v2)) == 1.0 |
| assert pytest.approx(engine.cosine_similarity(v1, v3)) == 0.0 |
|
|
