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dots_fixed
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import numpy as np
import cv2
import imutils
import dlib
from imutils import face_utils
predictor_model = "shape_predictor_68_face_landmarks.dat"
face_predictor = dlib.shape_predictor(predictor_model)
face_detector = dlib.get_frontal_face_detector()
def angry(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
detected_faces = face_detector(gray, 1)
for c in detected_faces:
shape = face_predictor(gray, c)
shape = face_utils.shape_to_np(shape)
dotlef = shape[17]
dot1x = dotlef[0]
dot1y = dotlef[1]
dotrig = shape[18]
dot2x = dotrig[0]
dot2y = dotrig[1]
dotup = shape[19]
dotupx = dotup[0]
dotupy = dotup[1]
dotdo = shape[20]
dotdox = dotdo[0]
dotdoy = dotdo[1]
dotlef1 = shape[21]
dot1x1 = dotlef1[0]
dot1y1 = dotlef1[1]
dotrig1 = shape[22]
dot2x1 = dotrig1[0]
dot2y1 = dotrig1[1]
dotup1 = shape[23]
dotupx1 = dotup1[0]
dotupy1 = dotup1[1]
dotdo1 = shape[24]
dotdox1 = dotdo1[0]
dotdoy1 = dotdo1[1]
dotlef2 = shape[25]
dot1x2 = dotlef2[0]
dot1y2 = dotlef2[1]
dotrig2 = shape[26]
dot2x2 = dotrig2[0]
dot2y2 = dotrig2[1]
dotlefe = shape[48]
dot1xe = dotlefe[0]
dot1ye = dotlefe[1]
dotrige = shape[54]
dot2xe = dotrige[0]
dot2ye = dotrige[1]
dotupe = shape[51]
dotupxe = dotupe[0]
dotupye = dotupe[1]
dotdoe = shape[57]
dotdoxe = dotdoe[0]
dotdoye = dotdoe[1]
cv2.circle(img, (dot1xe, dot1ye), 3, (0, 30, 175), -1)
cv2.circle(img, (dot2xe, dot2ye), 3, (0, 30, 175), -1)
cv2.circle(img, (dotupxe, dotupye), 3, (0, 30, 175), -1)
cv2.circle(img, (dotdoxe, dotdoye), 3, (0, 30, 175), -1)
cv2.circle(img, (dot1x, dot1y), 3, (0, 30, 175), -1)
cv2.circle(img, (dot2x, dot2y), 3, (0, 30, 175), -1)
cv2.circle(img, (dotupx, dotupy), 3, (0, 30, 175), -1)
cv2.circle(img, (dotdox, dotdoy), 3, (0, 30, 175), -1)
cv2.circle(img, (dot1x1, dot1y1), 3, (0, 30, 175), -1)
cv2.circle(img, (dot2x1, dot2y1), 3, (0, 30, 175), -1)
cv2.circle(img, (dotupx1, dotupy1), 3, (0, 30, 175), -1)
cv2.circle(img, (dotdox1, dotdoy1), 3, (0, 30, 175), -1)
cv2.circle(img, (dot1x2, dot1y2), 3, (0, 30, 175), -1)
cv2.circle(img, (dot2x2, dot2y2), 3, (0, 30, 175), -1)
def surprise(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
detected_faces = face_detector(gray, 1)
for c in detected_faces:
shape = face_predictor(gray, c)
shape = face_utils.shape_to_np(shape)
dotlefey = shape[36]
dotlefeyx = dotlefey[0]
dotlefeyy = dotlefey[1]
dotlefey1 = shape[37]
dotlefeyx1 = dotlefey1[0]
dotlefeyy1 = dotlefey1[1]
dotlefey2 = shape[38]
dotlefeyx2 = dotlefey2[0]
dotlefeyy2 = dotlefey2[1]
dotlefey3 = shape[39]
dotlefeyx3 = dotlefey3[0]
dotlefeyy3 = dotlefey3[1]
dotlefey4 = shape[40]
dotlefeyx4 = dotlefey4[0]
dotlefeyy4 = dotlefey4[1]
dotlefey5 = shape[41]
dotlefeyx5 = dotlefey5[0]
dotlefeyy5 = dotlefey5[1]
dotrigey = shape[42]
dotrigeyx = dotrigey[0]
dotrigeyy = dotrigey[1]
dotrigey1 = shape[43]
dotrigeyx1 = dotrigey1[0]
dotrigeyy1 = dotrigey1[1]
dotrigey2 = shape[44]
dotrigeyx2 = dotrigey2[0]
dotrigeyy2 = dotrigey2[1]
dotrigey3 = shape[45]
dotrigeyx3 = dotrigey3[0]
dotrigeyy3 = dotrigey3[1]
dotrigey4 = shape[46]
dotrigeyx4 = dotrigey4[0]
dotrigeyy4 = dotrigey4[1]
dotrigey5 = shape[47]
dotrigeyx5 = dotrigey5[0]
dotrigeyy5 = dotrigey5[1]
dotlef = shape[17]
dot1x = dotlef[0]
dot1y = dotlef[1]
dotrig = shape[18]
dot2x = dotrig[0]
dot2y = dotrig[1]
dotup = shape[19]
dotupx = dotup[0]
dotupy = dotup[1]
dotdo = shape[20]
dotdox = dotdo[0]
dotdoy = dotdo[1]
dotlef1 = shape[21]
dot1x1 = dotlef1[0]
dot1y1 = dotlef1[1]
dotrig1 = shape[22]
dot2x1 = dotrig1[0]
dot2y1 = dotrig1[1]
dotup1 = shape[23]
dotupx1 = dotup1[0]
dotupy1 = dotup1[1]
dotdo1 = shape[24]
dotdox1 = dotdo1[0]
dotdoy1 = dotdo1[1]
dotlef2 = shape[25]
dot1x2 = dotlef2[0]
dot1y2 = dotlef2[1]
dotrig2 = shape[26]
dot2x2 = dotrig2[0]
dot2y2 = dotrig2[1]
dotlefe = shape[48]
dot1xe = dotlefe[0]
dot1ye = dotlefe[1]
dotrige = shape[54]
dot2xe = dotrige[0]
dot2ye = dotrige[1]
dotupe = shape[51]
dotupxe = dotupe[0]
dotupye = dotupe[1]
dotdoe = shape[57]
dotdoxe = dotdoe[0]
dotdoye = dotdoe[1]
cv2.circle(img, (dotlefeyx, dotlefeyy), 3, (0, 30, 175), -1)
cv2.circle(img, (dotlefeyx1, dotlefeyy1), 3, (0, 30, 175), -1)
cv2.circle(img, (dotlefeyx2, dotlefeyy2), 3, (0, 30, 175), -1)
cv2.circle(img, (dotlefeyx3, dotlefeyy3), 3, (0, 30, 175), -1)
cv2.circle(img, (dotlefeyx4, dotlefeyy4), 3, (0, 30, 175), -1)
cv2.circle(img, (dotlefeyx5, dotlefeyy5), 3, (0, 30, 175), -1)
cv2.circle(img, (dotrigeyx, dotrigeyy), 3, (0, 30, 175), -1)
cv2.circle(img, (dotrigeyx1, dotrigeyy1), 3, (0, 30, 175), -1)
cv2.circle(img, (dotrigeyx2, dotrigeyy2), 3, (0, 30, 175), -1)
cv2.circle(img, (dotrigeyx3, dotrigeyy3), 3, (0, 30, 175), -1)
cv2.circle(img, (dotrigeyx4, dotrigeyy4), 3, (0, 30, 175), -1)
cv2.circle(img, (dotrigeyx5, dotrigeyy5), 3, (0, 30, 175), -1)
cv2.circle(img, (dot2xe, dot2ye), 3, (0, 30, 175), -1)
cv2.circle(img, (dot1xe, dot1ye), 3, (0, 30, 175), -1)
cv2.circle(img, (dot2xe, dot2ye), 3, (0, 30, 175), -1)
cv2.circle(img, (dotupxe, dotupye), 3, (0, 30, 175), -1)
cv2.circle(img, (dotdoxe, dotdoye), 3, (0, 30, 175), -1)
cv2.circle(img, (dot1x, dot1y), 3, (0, 30, 175), -1)
cv2.circle(img, (dot2x, dot2y), 3, (0, 30, 175), -1)
cv2.circle(img, (dotupx, dotupy), 3, (0, 30, 175), -1)
cv2.circle(img, (dotdox, dotdoy), 3, (0, 30, 175), -1)
cv2.circle(img, (dot1x1, dot1y1), 3, (0, 30, 175), -1)
cv2.circle(img, (dot2x1, dot2y1), 3, (0, 30, 175), -1)
cv2.circle(img, (dotupx1, dotupy1), 3, (0, 30, 175), -1)
cv2.circle(img, (dotdox1, dotdoy1), 3, (0, 30, 175), -1)
cv2.circle(img, (dot1x2, dot1y2), 3, (0, 30, 175), -1)
cv2.circle(img, (dot2x2, dot2y2), 3, (0, 30, 175), -1)
def happy(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
detected_faces = face_detector(gray, 1)
for c in detected_faces:
shape = face_predictor(gray, c)
shape = face_utils.shape_to_np(shape)
dotlefe = shape[48]
dot1xe = dotlefe[0]
dot1ye = dotlefe[1]
dotrige = shape[54]
dot2xe = dotrige[0]
dot2ye = dotrige[1]
dotupe = shape[51]
dotupxe = dotupe[0]
dotupye = dotupe[1]
dotdoe = shape[57]
dotdoxe = dotdoe[0]
dotdoye = dotdoe[1]
cv2.circle(img, (dot1xe, dot1ye), 3, (0, 30, 175), -1)
cv2.circle(img, (dot2xe, dot2ye), 3, (0, 30, 175), -1)
cv2.circle(img, (dotupxe, dotupye), 3, (0, 30, 175), -1)
cv2.circle(img, (dotdoxe, dotdoye), 3, (0, 30, 175), -1)
def dots(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
detected_faces = face_detector(gray, 1)
for c in detected_faces:
shape = face_predictor(gray, c)
shape = face_utils.shape_to_np(shape)
dotlef1 = shape[21]
dot1x1 = dotlef1[0]
dot1y1 = dotlef1[1]
dotlef = shape[17]
dot1xb = dotlef[0]
dot1yb = dotlef[1]
dotrig2 = shape[26]
dot2x2 = dotrig2[0]
dot2y2 = dotrig2[1]
dotrig1 = shape[22]
dot2x1 = dotrig1[0]
dot2y1 = dotrig1[1]
dot1 = shape[48]
dot1x = dot1[0]
dot1y = dot1[1]
dotr = shape[51]
dotrx = dotr[0]
dotry = dotr[1]
dot2 = shape[54]
dot2x = dot2[0]
dot2y = dot2[1]
dotrigey = shape[42]
dotrigeyx = dotrigey[0]
dotrigeyy = dotrigey[1]
dotdoe = shape[57]
dotdoxe = dotdoe[0]
dotdoye = dotdoe[1]
rustym = dotdoye - dotry
rustxm = dot2x - dot1x
rustxlef = dot2x1 - dot1xb
cv2.circle(img, (dotdoxe, dotdoye), 3, (0, 255, 0), -1)
cv2.circle(img, (dotrigeyx, dotrigeyy), 3, (0, 255, 0), -1)
cv2.circle(img, (dot2x1, dot2y1), 3, (0, 255, 0), -1)
cv2.circle(img, (dot1x1, dot1y1), 3, (0, 255, 0), -1)
cv2.circle(img, (dot2x2, dot2y2), 3, (0, 255, 0), -1)
cv2.circle(img, (dot1x, dot1y), 3, (0, 255, 0), -1)
cv2.circle(img, (dot1xb, dot1yb), 3, (0, 255, 0), -1)
cv2.circle(img, (dot2x, dot2y), 3, (0, 255, 0), -1)
cv2.circle(img, (dotrx, dotry), 3, (0, 255, 0), -1)
if rustxm >= rustym * 5:
cv2.putText(img, 'радость', (0, 50), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0))
elif dot2x1 - dot1x1 <= rustxlef / 3.7:
cv2.putText(img, 'злость', (0, 50), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0))
elif dotrigeyy - dot2y1 >= rustxlef / 3.5:
cv2.putText(img, 'удивление', (0, 50), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0))
else:
cv2.putText(img, 'точки не совпадают', (0, 50), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0))