i am working in a python code that take a picture if the distance between some facial landmarks(dlib's ones) has a condition, indeed if the distance between the point 1 and the point 29, divided by the distance of the point 17 and the 29 is between 1.1 and .9 then the picture should be taked, here is a diagram of the landmarks and the code which im working
COUNTER = 0
TOTAL = 0
shape_predictor= "shape_predictor_68_face_landmarks.dat" #dace_landmark
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(shape_predictor)
(mStart, mEnd) = face_utils.FACIAL_LANDMARKS_IDXS["mouth"]
(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
(jStart,jEnd) = face_utils.FACIAL_LANDMARKS_IDXS["jaw"]
(reStart,reEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eyebrow"]
(leStart,leEnd)= face_utils.FACIAL_LANDMARKS_IDXS["left_eyebrow"]
(nStart,nEnd)= face_utils.FACIAL_LANDMARKS_IDXS["nose"]
#video que vamos a procesar
print("[INFO] starting video stream thread...")
vs = VideoStream(src=0).start()
fileStream = False
time.sleep(1.0)
fps= FPS().start()
cv2.namedWindow("test")
while True:
frame = vs.read()
frame = imutils.resize(frame, width=450)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
rects = detector(gray, 0)
for rect in rects:
shape = predictor(gray, rect)
shape = face_utils.shape_to_np(shape)
mouth= shape[mStart:mEnd]
left_eye= shape[lStart:lEnd]
right_eye = shape[rStart:rEnd]
jaw = shape[jStart:jEnd]
right_eyebrow = shape[reStart:reEnd]
left_eyebrow = shape[leStart:leEnd]
nose = shape[nStart:nEnd]
#here is where i need help
l1= what do i need to put here?
l2 = what do i need to put here?
ratio = l1/l2
mouthHull = cv2.convexHull(mouth)
left_eyeHull = cv2.convexHull(left_eye)
right_eyehHull = cv2.convexHull(right_eye)
jawhHull = cv2.convexHull(jaw)
right_eyebrowHull = cv2.convexHull(right_eyebrow)
noseHull = cv2.convexHull(nose)
left_eyebrowHull = cv2.convexHull(left_eyebrow)
#print(shape)
cv2.drawContours(frame, [mouthHull,left_eyeHull, right_eyehHull, jawhHull, right_eyebrowHull, noseHull, left_eyebrowHull], -1, (0, 255, 0), 1)
if ratio <= .9 or mar > 1.1 :
COUNTER += 1
else:
if COUNTER >= 15:
TOTAL += 1
frame = vs.read()
time.sleep(.3)
frame2= frame.copy()
img_name = "opencv_frame_{}.png".format(TOTAL)
#cv2.imwrite(img_name, frame)
print("{} written!".format(img_name))
COUNTER = 0
cv2.putText(frame, "the ratio from l1 and l2 is: {}".format(distance), (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
cv2.imshow("Frame", frame)
fps.update()
key2 = cv2.waitKey(1) & 0xFF
if key2 == ord('q'):
break
fps.stop()
cv2.destroyAllWindows()
vs.stop()
now my problem is that i dont know how to calculate the distance between two landmarks, i put up there in the code a coment where i need help.
if any of you can help me i will be so grateful, thanks in advance
done it the condition that i used was
l1= math.sqrt((jaw[0][0]-nose[1][0])**2+(jaw[0][1]-nose[1][1])**2)
l2 = math.sqrt((jaw[16][0]-nose[1][0])**2+(jaw[16][1]-nose[1][1])**2)
ratio = l1/l2
m = (jaw[0][1]-jaw[16][1])/(jaw[0][0]-jaw[16][0])
if (ratio <= 1.1 and ratio > .9) :
cond1 = True
else:
cond1= False
if (jaw[0][1]<= (nose[1][1]+5) and jaw[0][1]> (nose[1][1]-5)):
cond2 = True
else:
cond2= False
if (m <= .05 and m >-.05 ):
cond3 = True
else:
cond3= False
the main idea is that jaw[0] represent the point (x,y) that belongs to the 0-point of the jaw
so the cond1 is true when the distance between jaw[0] and nose[1] is similar to the distance between jaw[16] and nose[1]
the cond2 is true when the y-coordinate of jaw is similar to to the y-coordinate from nose
finaly the last condition is about the angle between jaw[0] and jaw[16]