关于瞳孔跟踪、面部器官识别的最终UI界面

这里根据已经标记好眼眶的模型结果来寻找虹膜（眼睛中间黑色部分）和瞳孔，并且利用tkinter的Frame来把视频流信息放到UI上，以便美观。
识别瞳孔利用平均灰度值思想，在眼眶范围内找到周围平均灰度值最低的点作为瞳孔中心，然后画圆表示瞳孔。
tkinter图形界面上用Frame组件来显示，并且把这个放在一个Label上，Frame和Label都需要grid()一下。把视频流放到一个函数里，最后把读取的帧转化格式并且对该Label用after语句即可实现不断播放帧。
代码如下：

import tkinter as tk
import imutils
from PIL import ImageTk, Image
import cv2
from scipy.spatial import distance as dist
from imutils.video import FileVideoStream
from imutils.video import VideoStream
from imutils import face_utils
import numpy as np
import argparse
import imutils
import time
import dlibdef eye_aspect_ratio(eye):# compute the euclidean distances between the two sets of# vertical eye landmarks (x, y)-coordinatesA = dist.euclidean(eye[1], eye[5])B = dist.euclidean(eye[2], eye[4])# compute the euclidean distance between the horizontal# eye landmark (x, y)-coordinatesC = dist.euclidean(eye[0], eye[3])# compute the eye aspect ratioear = (A + B) / (2.0 * C)# return the eye aspect ratioreturn ear# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
# ap.add_argument("-p", "--shape-predictor", required=True,
#   help="path to facial landmark predictor")
ap.add_argument("-v", "--video", type=str, default="",help="path to input video file")
args = vars(ap.parse_args())# define two constants, one for the eye aspect ratio to indicate
# blink and then a second constant for the number of consecutive
# frames the eye must be below the threshold
EYE_AR_THRESH = 0.3
EYE_AR_CONSEC_FRAMES = 3
# initialize the frame counters and the total number of blinks
COUNTER = 0
TOTAL = 0# initialize dlib's face detector (HOG-based) and then create
# the facial landmark predictor
print("[INFO] loading facial landmark predictor...")
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")# grab the indexes of the facial landmarks for the left and
# right eye, respectively
(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
(lbrowStart, lbrowEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eyebrow"]
(rbrowStart, rbrowEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eyebrow"]
(mouthStart, mouthEnd) = face_utils.FACIAL_LANDMARKS_IDXS["mouth"]
(innermouthStart, innermouthEnd) = face_utils.FACIAL_LANDMARKS_IDXS["inner_mouth"]
(noseStart, noseEnd) = face_utils.FACIAL_LANDMARKS_IDXS["nose"]
(jawStart, jawEnd) = face_utils.FACIAL_LANDMARKS_IDXS["jaw"]#下巴root = tk.Tk()
root.title('摄像头窗口')
root.geometry("600x400")lsize = tk.Label(root, text='窗口大小', font=('Arial', 12), bg='red')
lsize.place(x=0, y=0, width=120, height=30)# Create a frame
app = tk.Frame(root, bg="white")
app.grid()
app.place(x=0, y=30, width=450, height=337)# Create a label in the frame
lmain = tk.Label(app)
lmain.grid()# width=tk.IntVar()
# width.set(0)
# height=tk.IntVar()
# height.set(0)
width = 0
height = 0k = 0
# Capture from camera
cap = cv2.VideoCapture(0)
# cap = cv2.VideoCapture(0,cv2.CAP_DSHOW)lsize2 = tk.Label(root, text=str(width) + 'x' + str(height), font=('Arial', 12), bg='green')
lsize2.place(x=120, y=0, width=80, height=30)vblink = tk.IntVar()
veye = tk.IntVar()
vpupil = tk.IntVar()
viris = tk.IntVar()
vmouth = tk.IntVar()
vinnermouth = tk.IntVar()
veyebrow = tk.IntVar()
vnose = tk.IntVar()
vjaw = tk.IntVar()def destroy():cap.release()# root.destroy()# cv2.destroyAllWindows()# function for video streaming
def video_stream():# while(cap.isOpened):cv2.waitKey(50)global k, TOTAL, COUNTER, vblink, veye, vpupil,viris,vmouth,vinnermouth,veyebrow,vjawret, frame = cap.read()# try:frame = imutils.resize(frame, width=450)global height, widthif k % 100 == 0:(height, width, dimension) = frame.shape# height.set(h)# width.set(w)lsize2.config(text=str(width) + 'x' + str(height))k = k + 1# print(k)# print(frame.shape)gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)rects = detector(gray, 0)print(rects)# loop over the face detectionsfor rect in rects:# determine the facial landmarks for the face region, then# convert the facial landmark (x, y)-coordinates to a NumPy# array(height, width) = gray.shapeshape = predictor(gray, rect)shape = face_utils.shape_to_np(shape)# extract the left and right eye coordinates, then use the# coordinates to compute the eye aspect ratio for both eyesleftEye = shape[lStart:lEnd]rightEye = shape[rStart:rEnd]leftEAR = eye_aspect_ratio(leftEye)rightEAR = eye_aspect_ratio(rightEye)# average the eye aspect ratio together for both eyesear = (leftEAR + rightEAR) / 2.0lefteyebrow = shape[lbrowStart:lbrowEnd]righteyebrow = shape[rbrowStart:rbrowEnd]mouth = shape[mouthStart:mouthEnd]innermouth = shape[innermouthStart:innermouthEnd]nose = shape[noseStart:noseEnd]jaw = shape[jawStart:jawEnd]# compute the convex hull for the left and right eye, then# visualize each of the eyes# 把眼眶标绿leftEyeHull = cv2.convexHull(leftEye)rightEyeHull = cv2.convexHull(rightEye)# print(vkind2)if veye.get() > 0:cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)lefteyebrowHull=cv2.convexHull(lefteyebrow)righteyebrowHull=cv2.convexHull(righteyebrow)mouthHull = cv2.convexHull(mouth)innermouthHull = cv2.convexHull(innermouth)noseHull = cv2.convexHull(nose)jawHull = cv2.convexHull(jaw)if veyebrow.get()>0:#眉毛cv2.drawContours(frame, [lefteyebrowHull], -1, (0, 0, 0), 1)cv2.drawContours(frame, [righteyebrowHull], -1, (0, 0, 0), 1)if vmouth.get()>0:#嘴cv2.drawContours(frame, [mouthHull], -1, (0, 128, 255), 1)if vinnermouth.get() > 0:#嘴内部cv2.drawContours(frame, [innermouthHull], -1, (255, 0, 255), 1)if vnose.get() > 0:#鼻子cv2.drawContours(frame, [noseHull], -1, (128, 128, 255), 1)if vjaw.get() > 0:#下颌cv2.drawContours(frame, [jawHull], -1, (0, 128, 200), 1)lefteyexmin = 1000lefteyexmax = 0lefteyeymin = 1000lefteyeymax = 0righteyexmin = 1000righteyexmax = 0righteyeymin = 1000righteyeymax = 0for p in leftEye:if p[0] < lefteyexmin:lefteyexmin = p[0]if p[0] > lefteyexmax:lefteyexmax = p[0]if p[1] < lefteyeymin:lefteyeymin = p[1]if p[1] > lefteyeymax:lefteyeymax = p[1]for p in rightEye:if p[0] < righteyexmin:righteyexmin = p[0]if p[0] > righteyexmax:righteyexmax = p[0]if p[1] < righteyeymin:righteyeymin = p[1]if p[1] > righteyeymax:righteyeymax = p[1]print('left range:', lefteyexmin, lefteyeymin, 'to', lefteyexmax, lefteyeymax)print('right range:', righteyexmin, righteyeymin, 'to', righteyexmax, righteyeymax)# lefteyexmin=np.min(leftEyeHull)# lefteyexmax=np.max(leftEyeHull[0])# righteyexmin=np.min(rightEyeHull[0])# righteyexmax=np.max(rightEyeHull[0])# lefteyeymin=np.min(leftEyeHull[1])# lefteyeymax=np.max(leftEyeHull[1])# righteyeymin=np.min(rightEyeHull[1])# righteyeymax=np.max(rightEyeHull[1])minxl = 0minyl = 0minl = 255minxr = 0minyr = 0minr = 255lengthxl = lefteyexmax - lefteyexminlengthxr = righteyexmax - righteyexminlengthyl = lefteyeymax - lefteyeyminlengthyr = righteyeymax - righteyeyminprint('left size:', lengthxl, lengthyl, 'right size:', lengthxr, lengthyr)# radiusil = int(lengthxl / 6)#左虹膜半径# radiusir = int(lengthxr / 6)#右虹膜半径## irislxmin = max(lefteyexmin, 0)# irislxmax = min(lefteyexmax, width-1)# irislymin = max(lefteyeymin, 0)# irislymax = min(lefteyeymax, height-1)# irisrxmin = max(lefteyexmin, 0)# irisrxmax = min(lefteyexmax, width-1)# irisrymin = max(lefteyeymin, 0)# irisrymax = min(lefteyeymax, height-1)radiuspl = int(lengthxl / 6)  # 左瞳孔检测半径radiuspr = int(lengthxr / 6)  # 右瞳孔检测半径# if irislxmax-irislxmin<15 or irislymax-irislymin<15:#距离太远，虹膜太小了就不检测了#   continuepupillxmin = max(int(lefteyexmin + lengthxl / 6), 0)pupillxmax = min(int(lefteyexmax - lengthxl / 6), width)pupillymin = max(int(lefteyeymin - lengthyl / 4), 0)pupillymax = min(int(lefteyeymax + lengthyl / 4), height)if pupillxmax - pupillxmin < 3 or pupillymax - pupillymin < 3:print('距离太近或者太远')continueif 2 * radiuspl + 1 > pupillxmax - pupillxmin:print('左眼瞳孔半径估计', radiuspl)print('左眼瞳孔瞳孔搜索范围x坐标', pupillxmin, 'to', pupillxmax)print('左眼太靠左右两边')continueif 2 * radiuspl + 1 > pupillymax - pupillymin:print('左眼瞳孔半径估计', radiuspl)print('左眼瞳孔瞳孔搜索范围y坐标', pupillymin, 'to', pupillymax)print('左眼太靠上下两边')continuepupilrxmin = max(int(righteyexmin + lengthxr / 6), 0)pupilrxmax = min(int(righteyexmax - lengthxr / 6), width)pupilrymin = max(int(righteyeymin - lengthyr / 4), 0)pupilrymax = min(int(righteyeymax + lengthyr / 4), height)if pupilrxmax - pupilrxmin < 3 or pupilrymax - pupilrymin < 3:print('距离太近或者太远')continueif 2 * radiuspr + 1 > pupilrxmax - pupilrxmin:print('右眼瞳孔半径估计', radiuspr)print('右眼瞳孔瞳孔搜索范围x坐标', pupilrxmin, 'to', pupilrxmax)print('右眼太靠左右两边')continueif 2 * radiuspr + 1 > pupilrymax - pupilrymin:print('右眼瞳孔半径估计', radiuspr)print('右眼瞳孔瞳孔搜索范围y坐标', pupilrymin, 'to', pupilrymax)print('右眼太靠上下两边')continuesumrowl = np.zeros((pupillymax - pupillymin, pupillxmax - pupillxmin))suml = np.zeros((pupillymax - pupillymin, pupillxmax - pupillxmin))arearowl = np.zeros((pupillymax - pupillymin, pupillxmax - pupillxmin))areal = np.zeros((pupillymax - pupillymin, pupillxmax - pupillxmin))# avgl = np.zeros((pupillymax - pupillymin, pupillxmax - pupillxmin))for y in range(pupillymin, pupillymax):relay = y - pupillymin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换sumrowl[relay][0] = 0arearowl[relay][0] = radiuspl + 1for x in range(pupillxmin, pupillxmin + radiuspl + 1):  # 从中心点再向右radiusl个点sumrowl[relay][0] = sumrowl[relay][0] + gray[y][x]for x in range(pupillxmin + 1, pupillxmin + radiuspl + 1):relax = x - pupillxmin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换sumrowl[relay][relax] = sumrowl[relay][relax - 1] + gray[y][x + radiuspl]arearowl[relay][relax] = relax + radiuspl + 1for x in range(pupillxmin + radiuspl + 1, pupillxmax - radiuspl):relax = x - pupillxminsumrowl[relay][relax] = sumrowl[relay][relax - 1] + gray[y][x + radiuspl] - gray[y][x - radiuspl - 1]arearowl[relay][relax] = 2 * radiuspl + 1for x in range(pupillxmax - radiuspl, pupillxmax):relax = x - pupillxmin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换sumrowl[relay][relax] = sumrowl[relay][relax - 1] - gray[y][x - radiuspl - 1]arearowl[relay][relax] = pupillxmax - x + radiusplfor x in range(pupillxmin, pupillxmax):relax = x - pupillxmin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换suml[0][relax] = 0areal[0][relax] = 0for y in range(pupillymin, pupillymin + radiuspl + 1):  # 从中心点再向下radiusl个点relay = y - pupillyminsuml[0][relax] = suml[0][relax] + sumrowl[relay][relax]areal[0][relax] = areal[0][relax] + arearowl[relay][relax]for y in range(pupillymin + 1, pupillymin + radiuspl + 1):relay = y - pupillymin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换suml[relay][relax] = suml[relay - 1][relax] + sumrowl[relay + radiuspl][relax]areal[relay][relax] = areal[relay - 1][relax] + arearowl[relay + radiuspl][relax]for y in range(pupillymin + radiuspl + 1, pupillymax - radiuspl):relay = y - pupillyminsuml[relay][relax] = suml[relay - 1][relax] + sumrowl[relay + radiuspl][relax] - \sumrowl[relay - radiuspl - 1][relax]areal[relay][relax] = areal[relay - 1][relax]for y in range(pupillymax - radiuspl, pupillymax):relay = y - pupillymin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换suml[relay][relax] = suml[relay - 1][relax] - sumrowl[relay - radiuspl - 1][relax]areal[relay][relax] = areal[relay - 1][relax] - arearowl[relay - radiuspl - 1][relax]avgl = suml / arealprint('suml', suml)print('areal', areal)print('avgl', avgl)for y in range(pupillymin, pupillymax):for x in range(pupillxmin, pupillxmax):if avgl[y - pupillymin][x - pupillxmin] < minl:minl = avgl[y - pupillymin][x - pupillxmin]minxl = xminyl = ysumrowr = np.zeros((pupilrymax - pupilrymin, pupilrxmax - pupilrxmin))sumr = np.zeros((pupilrymax - pupilrymin, pupilrxmax - pupilrxmin))arearowr = np.zeros((pupilrymax - pupilrymin, pupilrxmax - pupilrxmin))arear = np.zeros((pupilrymax - pupilrymin, pupilrxmax - pupilrxmin))avgr = np.zeros((pupilrymax - pupilrymin, pupilrxmax - pupilrxmin))for y in range(pupilrymin, pupilrymax):relay = y - pupilrymin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换sumrowr[relay][0] = 0arearowr[relay][0] = radiuspr + 1for x in range(pupilrxmin, pupilrxmin + radiuspr + 1):  # 从中心点再向右radiusr个点sumrowr[relay][0] = sumrowr[relay][0] + gray[y][x]for x in range(pupilrxmin + 1, pupilrxmin + radiuspr + 1):relax = x - pupilrxmin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换sumrowr[relay][relax] = sumrowr[relay][relax - 1] + gray[y][x + radiuspr]arearowr[relay][relax] = relax + radiuspr + 1for x in range(pupilrxmin + radiuspr + 1, pupilrxmax - radiuspr):relax = x - pupilrxminsumrowr[relay][relax] = sumrowr[relay][relax - 1] + gray[y][x + radiuspr] - gray[y][x - radiuspr - 1]arearowr[relay][relax] = 2 * radiuspr + 1for x in range(pupilrxmax - radiuspr, pupilrxmax):relax = x - pupilrxmin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换sumrowr[relay][relax] = sumrowr[relay][relax - 1] - gray[y][x - radiuspr - 1]arearowr[relay][relax] = pupilrxmax - x + radiusprfor x in range(pupilrxmin, pupilrxmax):relax = x - pupilrxmin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换sumr[0][relax] = 0arear[0][relax] = 0for y in range(pupilrymin, pupilrymin + radiuspr + 1):  # 从中心点再向下radiusr个点relay = y - pupilryminsumr[0][relax] = sumr[0][relax] + sumrowr[relay][relax]arear[0][relax] = arear[0][relax] + arearowr[relay][relax]for y in range(pupilrymin + 1, pupilrymin + radiuspr + 1):relay = y - pupilrymin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换sumr[relay][relax] = sumr[relay - 1][relax] + sumrowr[relay + radiuspr][relax]arear[relay][relax] = arear[relay - 1][relax] + arearowr[relay + radiuspr][relax]for y in range(pupilrymin + radiuspr + 1, pupilrymax - radiuspr):relay = y - pupilryminsumr[relay][relax] = sumr[relay - 1][relax] + sumrowr[relay + radiuspr][relax] - \sumrowr[relay - radiuspr - 1][relax]arear[relay][relax] = arear[relay - 1][relax]for y in range(pupilrymax - radiuspr, pupilrymax):relay = y - pupilrymin  # 原图的点在瞳孔检测范围内的对应点，用于坐标变换sumr[relay][relax] = sumr[relay - 1][relax] - sumrowr[relay - radiuspr - 1][relax]arear[relay][relax] = arear[relay - 1][relax] - arearowr[relay - radiuspr - 1][relax]avgr = sumr / arearprint('sumr', sumr)print('arear', arear)print('avgr', avgr)for y in range(pupilrymin, pupilrymax):for x in range(pupilrxmin, pupilrxmax):if avgr[y - pupilrymin][x - pupilrxmin] < minr:minr = avgr[y - pupilrymin][x - pupilrxmin]minxr = xminyr = yif viris.get()>0:# print('left:',minxl,minyl,'right:',minxr,minyr)cv2.circle(frame, (minxl, minyl), int(lengthxl / 5), (255, 0, 0), 2)cv2.circle(frame, (minxr, minyr), int(lengthxr / 5), (255, 0, 0), 2)# print(vkind3)if vpupil.get() > 0:cv2.circle(frame, (minxl, minyl), int(lengthxl / 20), (0, 0, 255), 2)cv2.circle(frame, (minxr, minyr), int(lengthxr / 20), (0, 0, 255), 2)content='left:('+str(minxl)+','+str(minyl)+'),right:('+str(minxr)+','+str(minyr)+')'txtfile=open('../OpenCV/1.txt','w+')print(content,file=txtfile)cv2.imwrite('1.png', frame)# check to see if the eye aspect ratio is below the blink# threshold, and if so, increment the blink frame counterif ear < EYE_AR_THRESH:COUNTER += 1# otherwise, the eye aspect ratio is not below the blink# thresholdelse:# if the eyes were closed for a sufficient number of# then increment the total number of blinksif COUNTER >= EYE_AR_CONSEC_FRAMES:TOTAL += 1# reset the eye frame counter# COUNTER = 0# draw the total number of blinks on the frame along with# the computed eye aspect ratio for the frame# print(vkind1)if vblink.get() > 0:cv2.putText(frame, "Blinks: {}".format(TOTAL), (10, 30),cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)# cv2.putText(frame, "EAR: {:.2f}".format(ear), (300, 30),# cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)img = Image.fromarray(cv2image)imgtk = ImageTk.PhotoImage(image=img)lmain.imgtk = imgtklmain.configure(image=imgtk)lmain.after(1, video_stream)# except:
#     cap.release()def start():global capcap = cv2.VideoCapture(0)video_stream()# video_stream()bstart = tk.Button(root, text='开启摄像头', font=('Arial', 12), bg='gray', command=start)
bstart.place(x=470, y=300, width=100, height=30)bstop = tk.Button(root, text='暂停', font=('Arial', 12), bg='gray', command=destroy)
bstop.place(x=470, y=350, width=100, height=30)cblink = tk.Checkbutton(root, text='显示眨眼', font=('Arial', 12), fg='red', variable=vblink, onvalue=1, offvalue=0)
cblink.place(x=470, y=0, width=90, height=30)ceye = tk.Checkbutton(root, text='显示眼睛', font=('Arial', 12), fg='green', variable=veye, onvalue=1, offvalue=0)
ceye.place(x=470, y=30, width=90, height=30)cpupil = tk.Checkbutton(root, text='显示瞳孔', font=('Arial', 12), fg='red', variable=vpupil, onvalue=1, offvalue=0)
cpupil.place(x=470, y=60, width=90, height=30)ciris = tk.Checkbutton(root, text='显示虹膜', font=('Arial', 12), fg='blue', variable=viris, onvalue=1, offvalue=0)
ciris.place(x=470, y=90, width=90, height=30)# mouth = tk.IntVar()
# vinnermouth = tk.IntVar()
# veyebrow = tk.IntVar()
# vnose = tk.IntVar()
# vjaw = tk.IntVar()cmouth=tk.Checkbutton(root, text='显示嘴', font=('Arial', 12), fg='orange', variable=vmouth, onvalue=1, offvalue=0)
cmouth.place(x=462, y=120, width=90, height=30)cnose=tk.Checkbutton(root, text='显示鼻子', font=('Arial', 12), fg='pink', variable=vnose, onvalue=1, offvalue=0)
cnose.place(x=470, y=150, width=90, height=30)ceyebrow=tk.Checkbutton(root, text='显示眉毛', font=('Arial', 12), fg='black', variable=veyebrow, onvalue=1, offvalue=0)
ceyebrow.place(x=470, y=180, width=90, height=30)cinnermouth=tk.Checkbutton(root, text='显示内嘴', font=('Arial', 12), fg='purple', variable=vinnermouth, onvalue=1, offvalue=0)
cinnermouth.place(x=470, y=210, width=90, height=30)cjaw=tk.Checkbutton(root, text='显示下颌', font=('Arial', 12), fg='brown', variable=vjaw, onvalue=1, offvalue=0)
cjaw.place(x=470, y=240, width=90, height=30)root.mainloop()

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