mirror of
https://github.com/serengil/deepface.git
synced 2025-07-21 01:10:01 +00:00
70 lines
2.6 KiB
Python
70 lines
2.6 KiB
Python
import numpy as np
|
|
import pytest
|
|
from deepface.modules.detection import extract_faces, DetectedFace, FacialAreaRegion
|
|
from deepface.commons.logger import Logger
|
|
|
|
logger = Logger()
|
|
|
|
def is_valid_landmark(coord, width, height):
|
|
if coord is None:
|
|
return False
|
|
if not (isinstance(coord, (tuple, list)) and len(coord) == 2):
|
|
return False
|
|
x, y = coord
|
|
return 0 <= x < width and 0 <= y < height
|
|
|
|
def sanitize_landmarks(region, width, height):
|
|
landmarks = {
|
|
"left_eye": region.left_eye,
|
|
"right_eye": region.right_eye,
|
|
"nose": region.nose,
|
|
"mouth_left": region.mouth_left,
|
|
"mouth_right": region.mouth_right,
|
|
}
|
|
for key, value in landmarks.items():
|
|
if not is_valid_landmark(value, width, height):
|
|
landmarks[key] = None
|
|
return landmarks
|
|
|
|
def test_sanitize_landmarks():
|
|
img = np.zeros((100, 100, 3), dtype=np.uint8)
|
|
height, width = img.shape[:2]
|
|
region = FacialAreaRegion(
|
|
x=10, y=10, w=50, h=50,
|
|
left_eye=(-5, 20), # invalid
|
|
right_eye=(20, 200), # invalid
|
|
nose=(30, 30), # valid
|
|
mouth_left=(150, 20), # invalid
|
|
mouth_right=(20, -10), # invalid
|
|
confidence=0.9
|
|
)
|
|
landmarks = sanitize_landmarks(region, width, height)
|
|
logger.info(f"Sanitized landmarks: {landmarks}")
|
|
assert landmarks["left_eye"] is None
|
|
assert landmarks["right_eye"] is None
|
|
assert landmarks["nose"] == (30, 30)
|
|
assert landmarks["mouth_left"] is None
|
|
assert landmarks["mouth_right"] is None
|
|
logger.info("Test passed: Invalid landmarks are sanitized to None.")
|
|
|
|
def test_extract_faces_sanitizes_landmarks(monkeypatch):
|
|
img = np.zeros((100, 100, 3), dtype=np.uint8)
|
|
facial_area = FacialAreaRegion(
|
|
x=10, y=10, w=50, h=50,
|
|
left_eye=(-5, 20), # invalid
|
|
right_eye=(20, 200), # invalid
|
|
nose=(30, 30), # valid
|
|
mouth_left=(150, 20), # invalid
|
|
mouth_right=(20, -10), # invalid
|
|
confidence=0.9
|
|
)
|
|
detected_face = DetectedFace(img=img, facial_area=facial_area, confidence=0.9)
|
|
monkeypatch.setattr("deepface.modules.detection.detect_faces", lambda *args, **kwargs: [detected_face])
|
|
result = extract_faces(img, detector_backend="opencv", enforce_detection=False)
|
|
facial_area_out = result[0]["facial_area"]
|
|
logger.info(f"Output facial_area: {facial_area_out}")
|
|
assert facial_area_out["left_eye"] is None
|
|
assert facial_area_out["right_eye"] is None
|
|
assert facial_area_out.get("nose") == (30, 30)
|
|
assert facial_area_out.get("mouth_left") is None
|
|
assert facial_area_out.get("mouth_right") is None |