mouth_detect_dot_RGB.py

import dlib
import cv2


# 追記か
"""
# dlibで学習したモデルを読み込む
    detector = dlib.simple_object_detector("droid_detector.svm")
"""
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

cap = cv2.VideoCapture(0)
# fps調整
cap.set(5, 60) 
while True:
    ret, frame = cap.read()
    #cv2.imshow("me", frame) # 確認用
    # ここに処理を追加していく ----

    dets = detector(frame[:, :, ::-1])
    if len(dets):
        parts = predictor(frame, dets[0]).parts()
        parts = parts[48:68] #口認識は48~67
        # RGB化
        img = frame #* 0
        for i in parts:
            cv2.circle(img, (i.x, i.y), 3, (255, 0, 0), -1)
    #for det in dets:
    #    cv2.rectangle(img, (det.left(), det.top()), (det.right(), det.bottom()), (0, 0, 255))

        cv2.imshow("me", img)
    # 確認用 ここまで ---

    # ここまで ----

    if cv2.waitKey(1) == 27:
        break

cap.release()
cv2.destroyAllWindows()