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Correct laterality of the eyes landmarks.

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This commit is contained in:
Vincent STRAGIER 2023-05-23 23:54:21 +02:00
parent ce4e4f664b
commit 769a497896
1 changed files with 20 additions and 24 deletions
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10
deepface/detectors/MediapipeWrapper.py
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@ -19,9 +19,7 @@ def detect_face(face_detector, img, align=True):
results = face_detector.process(img) results = face_detector.process(img)
if results.detections:
for detection in results.detections: for detection in results.detections:
(confidence,) = detection.score (confidence,) = detection.score
bounding_box = detection.location_data.relative_bounding_box bounding_box = detection.location_data.relative_bounding_box
@ -32,8 +30,8 @@ def detect_face(face_detector, img, align=True):
y = int(bounding_box.ymin * img_height) y = int(bounding_box.ymin * img_height)
h = int(bounding_box.height * img_height) h = int(bounding_box.height * img_height)
right_eye = (int(landmarks[0].x * img_width), int(landmarks[0].y * img_height)) left_eye = (int(landmarks[0].x * img_width), int(landmarks[0].y * img_height))
left_eye = (int(landmarks[1].x * img_width), int(landmarks[1].y * img_height)) right_eye = (int(landmarks[1].x * img_width), int(landmarks[1].y * img_height))
# nose = (int(landmarks[2].x * img_width), int(landmarks[2].y * img_height)) # nose = (int(landmarks[2].x * img_width), int(landmarks[2].y * img_height))
# mouth = (int(landmarks[3].x * img_width), int(landmarks[3].y * img_height)) # mouth = (int(landmarks[3].x * img_width), int(landmarks[3].y * img_height))
# right_ear = (int(landmarks[4].x * img_width), int(landmarks[4].y * img_height)) # right_ear = (int(landmarks[4].x * img_width), int(landmarks[4].y * img_height))
@ -44,9 +42,7 @@ def detect_face(face_detector, img, align=True):
img_region = [x, y, w, h] img_region = [x, y, w, h]
if align: if align:
detected_face = FaceDetector.alignment_procedure( detected_face = FaceDetector.alignment_procedure(detected_face, left_eye, right_eye)
detected_face, left_eye, right_eye
)
resp.append((detected_face, img_region, confidence)) resp.append((detected_face, img_region, confidence))