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Add eyes landmarks.
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@ -22,9 +22,6 @@ def detect_face(face_detector, img, align=False):
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confidence = -1
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detected_face = None
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# if align:
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# raise NotImplementedError("`align` is not implemented for Yolov8Wrapper")
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results = face_detector.predict(img, verbose=False, show=True, conf=0.25)[0]
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for result in results:
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@ -33,10 +30,22 @@ def detect_face(face_detector, img, align=False):
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# print(f"Confidence: {confidence}, x: {x}, y: {y}, w: {w}, h: {h}")
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# print landmarks
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print(result.keypoints.tolist())
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landmarks = result.keypoints.tolist()
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left_eye, right_eye = landmarks[0], landmarks[1]
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# print(result.keypoints.tolist())
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# print(f"Left eye: {left_eye}, right eye: {right_eye}")
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# add eyes landmarks to img
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import cv2
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img = cv2.circle(img, (int(left_eye[0]), int(left_eye[1])), 2, (0, 0, 255), 2)
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img = cv2.circle(img, (int(right_eye[0]), int(right_eye[1])), 2, (0, 255, 0), 2)
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# change to top left corner, width, height
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x, y, w, h = int(x - w / 2), int(y - h / 2), int(w), int(h)
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detected_face = img[y : y + h, x : x + w].copy()
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# if align:
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# raise NotImplementedError("`align` is not implemented for Yolov8Wrapper")
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resp.append((detected_face, [x, y, w, h], confidence))
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return resp
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