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78 lines
2.7 KiB
Python
78 lines
2.7 KiB
Python
import numpy as np
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import pytest
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from deepface.modules.detection import extract_faces, DetectedFace, FacialAreaRegion
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def sanitize_landmarks(region, width, height):
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def is_valid_landmark(coord, width, height):
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if coord is None:
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return False
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try:
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x, y = coord
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except (TypeError, ValueError):
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return False
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return 0 <= x < width and 0 <= y < height
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landmarks = {
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"left_eye": region.left_eye,
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"right_eye": region.right_eye,
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"nose": region.nose,
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"mouth_left": region.mouth_left,
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"mouth_right": region.mouth_right,
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}
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for key, value in landmarks.items():
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if not is_valid_landmark(value, 100, 100):
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landmarks[key] = None
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return landmarks
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def test_sanitize_landmarks():
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region = FacialAreaRegion(
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x=10, y=10, w=50, h=50,
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left_eye=(-5, 20), # invalid
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right_eye=(20, 200), # invalid
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nose=(30, 30), # valid
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mouth_left=(150, 20), # invalid
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mouth_right=(20, -10), # invalid
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confidence=0.9
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)
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landmarks = sanitize_landmarks(region, 100, 100)
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print("Sanitized landmarks:", landmarks)
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assert landmarks["left_eye"] is None
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assert landmarks["right_eye"] is None
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assert landmarks["nose"] == (30, 30)
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assert landmarks["mouth_left"] is None
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assert landmarks["mouth_right"] is None
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print("Test passed: Invalid landmarks are sanitized to None.")
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def test_extract_faces_sanitizes_landmarks(monkeypatch):
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# Create a dummy image
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img = np.zeros((100, 100, 3), dtype=np.uint8)
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# Create a DetectedFace with off-image landmarks
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facial_area = FacialAreaRegion(
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x=10, y=10, w=50, h=50,
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left_eye=(-5, 20), # invalid
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right_eye=(20, 200), # invalid
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nose=(30, 30), # valid
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mouth_left=(150, 20), # invalid
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mouth_right=(20, -10), # invalid
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confidence=0.9
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)
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detected_face = DetectedFace(img=img, facial_area=facial_area, confidence=0.9)
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# Patch detect_faces to return our test face
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monkeypatch.setattr("f_deepface.deepface.modules.detection.detect_faces", lambda *args, **kwargs: [detected_face])
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# Use a different backend that will call detect_faces
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result = extract_faces(img, detector_backend="opencv", enforce_detection=False)
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facial_area_out = result[0]["facial_area"]
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print("Output facial_area:", facial_area_out) # Debug print
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assert facial_area_out["left_eye"] is None
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assert facial_area_out["right_eye"] is None
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assert facial_area_out.get("nose") == (30, 30)
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assert facial_area_out.get("mouth_left") is None
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assert facial_area_out.get("mouth_right") is None
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if __name__ == "__main__":
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test_sanitize_landmarks() |