基于Python的人工智能美颜系统使用PyQt5模块搭建可视化界面，Dlib模型（shape_predictor_68_face_landmarks.dat)实现人脸关键点检测和定位，人脸美颜（美白、磨皮、亮眼、红唇等操作）均是在检测到相对应人脸器官后，使用OpenCv模块实现调节亮度、锐化等操作。
效果图如下所示：
项目代码及所需配置文件见网址：https://download.csdn.net/download/m0_38106923/11253733。
GUI代码如下：
import sys,os
import numpy as np
import cv2
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtGui import QImage,QIcon,QPixmap
from PyQt5.QtWidgets import QFileDialog,QMessageBox
from AIMakeup import Makeup,Face,Organ,NoFace
class Ui_MainWindow(object):
def __init__(self, MainWindow):
self.window=MainWindow
self._setupUi()
#控件分组
self.bg_edit=[self.bt_brightening,self.bt_whitening,self.bt_sharpen,self.bt_smooth]
self.bg_op=[self.bt_confirm,self.bt_cancel,self.bt_reset]
self.bg_result=[self.bt_view_compare,self.bt_save,self.bt_save_compare]
self.sls=[self.sl_brightening,self.sl_sharpen,self.sl_whitening,self.sl_smooth]
#用于显示图片的标签
self.label=QtWidgets.QLabel(self.window)
self.sa.setWidget(self.label)
#批量设置状态
self._set_statu(self.bg_edit,False)
self._set_statu(self.bg_op,False)
self._set_statu(self.bg_result,False)
self._set_statu(self.sls,False)
#导入dlib模型文件
if os.path.exists("./data/shape_predictor_68_face_landmarks.dat"):
self.path_predictor=os.path.abspath("./data/shape_predictor_68_face_landmarks.dat")
else:
QMessageBox.warning(self.centralWidget,'警告','默认的dlib模型文件路径不存在，请指定文件位置。\
\n或从http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2下载')
self.path_predictor,_=QFileDialog.getOpenFileName(self.centralWidget,'选择dlib模型文件','./','Data Files(*.dat)')
#实例化化妆器
self.mu=Makeup(self.path_predictor)
self.path_img=''
self._set_connect()
def _set_connect(self):
'''
设置程序逻辑
'''
self.bt_open.clicked.connect(self._open_img)
for op in ['sharpen','whitening','smooth','brightening','cancel','confirm','reset','save','save_compare','view_compare']:
self.__getattribute__('bt_'+op).clicked.connect(self.__getattribute__('_'+op))
def _open_img(self):
'''
打开图片
'''
self.path_img,_=QFileDialog.getOpenFileName(self.centralWidget,'打开图片文件','./','Image Files(*.png *.jpg *.bmp)')
if self.path_img and os.path.exists(self.path_img):
print(self.path_img)
self.im_bgr,self.temp_bgr,self.faces=self.mu.read_and_mark(self.path_img)
self.im_ori,self.previous_bgr=self.im_bgr.copy(),self.im_bgr.copy()
self._set_statu(self.bg_edit,True)
self._set_statu(self.bg_op,True)
self._set_statu(self.bg_result,True)
self._set_statu(self.sls,True)
self._set_img()
else:
QMessageBox.warning(self.centralWidget,'无效路径','无效路径，请重新选择！')
def _cv2qimg(self,cvImg):
'''
将opencv的图片转换为QImage
'''
height, width, channel = cvImg.shape
bytesPerLine = 3 * width
return QImage(cv2.cvtColor(cvImg,cv2.COLOR_BGR2RGB).data, width, height, bytesPerLine, QImage.Format_RGB888)
def _set_img(self):
'''
显示pixmap
'''
self.label.setPixmap(QPixmap.fromImage(self._cv2qimg(self.temp_bgr)))
def _set_statu(self,group,value):
'''
批量设置状态
'''
[item.setEnabled(value) for item in group]
def _confirm(self):
'''
确认操作
'''
self.im_bgr[:]=self.temp_bgr[:]
def _cancel(self):
'''
还原到上一步
'''
self.temp_bgr[:]=self.previous_bgr[:]
self._set_img()
def _reset(self):
'''
重置为原始图片
'''
self.temp_bgr[:]=self.im_ori[:]
self._set_img()
def _mapfaces(self,fun,value):
'''
对每张脸进行迭代操作
'''
self.previous_bgr[:]=self.temp_bgr[:]
for face in self.faces[self.path_img]:
fun(face,value)
self._set_img()
def _sharpen(self):
value=min(1,max(self.sl_sharpen.value()/200,0))
print(value)
def fun(face,value):
face.organs['left eye'].sharpen(value,confirm=False)
face.organs['right eye'].sharpen(value,confirm=False)
self._mapfaces(fun,value)
def _whitening(self):
value=min(1,max(self.sl_whitening.value()/200,0))
print(value)
def fun(face,v):
face.organs['left eye'].whitening(value,confirm=False)
face.organs['right eye'].whitening(value,confirm=False)
face.organs['left brow'].whitening(value,confirm=False)
face.organs['right brow'].whitening(value,confirm=False)
face.organs['nose'].whitening(value,confirm=False)
face.organs['forehead'].whitening(value,confirm=False)
face.organs['mouth'].whitening(value,confirm=False)
face.whitening(value,confirm=False)
self._mapfaces(fun,value)
def _brightening(self):
value=min(1,max(self.sl_brightening.value()/200,0))
print(value)
def fun(face,value):
face.organs['mouth'].brightening(value,confirm=False)
self._mapfaces(fun,value)
def _smooth(self):
value=min(1,max(self.sl_smooth.value()/100,0))
def fun(face,value):
face.smooth(value,confirm=False)
face.organs['left eye'].smooth(value*2/3,confirm=False)
face.organs['right eye'].smooth(value*2/3,confirm=False)
face.organs['left brow'].smooth(value*2/3,confirm=False)
face.organs['right brow'].smooth(value*2/3,confirm=False)
face.organs['nose'].smooth(value*2/3,confirm=False)
face.organs['forehead'].smooth(value*3/2,confirm=False)
face.organs['mouth'].smooth(value,confirm=False)
self._mapfaces(fun,value)
def _save(self):
output_path,_=QFileDialog.getSaveFileName(self.centralWidget,'选择保存位置','./','Image Files(*.png *.jpg *.bmp)')
if output_path:
self.save(output_path,self.im_bgr)
else:
QMessageBox.warning(self.centralWidget,'无效路径','无效路径，请重新选择！')
def _save_compare(self):
output_path,_=QFileDialog.getSaveFileName(self.centralWidget,'选择保存位置','./','Image Files(*.png *.jpg *.bmp)')
if output_path:
self.save(output_path,np.concatenate([self.im_ori,self.im_bgr],1))
else:
QMessageBox.warning(self.centralWidget,'无效路径','无效路径，请重新选择！')
def _view_compare(self):
cv2.imshow('Compare',np.concatenate([self.im_ori,self.im_bgr],1))
cv2.waitKey()
def _setupUi(self):
self.window.setObjectName("MainWindow")
self.window.resize(837, 838)
self.centralWidget = QtWidgets.QWidget(self.window)
self.centralWidget.setObjectName("centralWidget")
self.verticalLayout = QtWidgets.QVBoxLayout(self.centralWidget)
self.verticalLayout.setObjectName("verticalLayout")
self.sa = QtWidgets.QScrollArea(self.centralWidget)
sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
sizePolicy.setHorizontalStretch(0)
sizePolicy.setVerticalStretch(0)
sizePolicy.setHeightForWidth(self.sa.sizePolicy().hasHeightForWidth())
self.sa.setSizePolicy(sizePolicy)
self.sa.setWidgetResizable(True)
self.sa.setObjectName("sa")
self.scrollAreaWidgetContents = QtWidgets.QWidget()
self.scrollAreaWidgetContents.setGeometry(QtCore.QRect(0, 0, 813, 532))
self.scrollAreaWidgetContents.setObjectName("scrollAreaWidgetContents")
self.sa.setWidget(self.scrollAreaWidgetContents)
self.verticalLayout.addWidget(self.sa)
self.gridLayout = QtWidgets.QGridLayout()
self.gridLayout.setObjectName("gridLayout")
self.bt_whitening = QtWidgets.QPushButton(self.centralWidget)
self.bt_whitening.setObjectName("bt_whitening")
self.gridLayout.addWidget(self.bt_whitening, 0, 0, 1, 1)
self.sl_whitening = QtWidgets.QSlider(self.centralWidget)
self.sl_whitening.setOrientation(QtCore.Qt.Horizontal)
self.sl_whitening.setObjectName("sl_whitening")
self.gridLayout.addWidget(self.sl_whitening, 0, 1, 1, 1)
spacerItem = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)
self.gridLayout.addItem(spacerItem, 0, 2, 1, 1)
self.bt_smooth = QtWidgets.QPushButton(self.centralWidget)
self.bt_smooth.setObjectName("bt_smooth")
self.gridLayout.addWidget(self.bt_smooth, 1, 0, 1, 1)
self.sl_smooth = QtWidgets.QSlider(self.centralWidget)
self.sl_smooth.setOrientation(QtCore.Qt.Horizontal)
self.sl_smooth.setObjectName("sl_smooth")
self.gridLayout.addWidget(self.sl_smooth, 1, 1, 1, 1)
spacerItem1 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)
self.gridLayout.addItem(spacerItem1, 1, 2, 1, 1)
self.bt_sharpen = QtWidgets.QPushButton(self.centralWidget)
self.bt_sharpen.setObjectName("bt_sharpen")
self.gridLayout.addWidget(self.bt_sharpen, 2, 0, 1, 1)
self.sl_sharpen = QtWidgets.QSlider(self.centralWidget)
self.sl_sharpen.setOrientation(QtCore.Qt.Horizontal)
self.sl_sharpen.setObjectName("sl_sharpen")
self.gridLayout.addWidget(self.sl_sharpen, 2, 1, 1, 1)
spacerItem2 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)
self.gridLayout.addItem(spacerItem2, 2, 2, 1, 1)
self.bt_brightening = QtWidgets.QPushButton(self.centralWidget)
self.bt_brightening.setObjectName("bt_brightening")
self.gridLayout.addWidget(self.bt_brightening, 3, 0, 1, 1)
self.sl_brightening = QtWidgets.QSlider(self.centralWidget)
self.sl_brightening.setOrientation(QtCore.Qt.Horizontal)
self.sl_brightening.setObjectName("sl_brightening")
self.gridLayout.addWidget(self.sl_brightening, 3, 1, 1, 1)
spacerItem3 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)
self.gridLayout.addItem(spacerItem3, 3, 2, 1, 1)
self.bt_open = QtWidgets.QPushButton(self.centralWidget)
self.bt_open.setObjectName("bt_open")
self.gridLayout.addWidget(self.bt_open, 4, 0, 1, 1)
self.bt_confirm = QtWidgets.QPushButton(self.centralWidget)
self.bt_confirm.setObjectName("bt_confirm")
self.gridLayout.addWidget(self.bt_confirm, 5, 0, 1, 1)
self.bt_cancel = QtWidgets.QPushButton(self.centralWidget)
self.bt_cancel.setObjectName("bt_cancel")
self.gridLayout.addWidget(self.bt_cancel, 5, 1, 1, 1)
self.bt_reset = QtWidgets.QPushButton(self.centralWidget)
self.bt_reset.setObjectName("bt_reset")
self.gridLayout.addWidget(self.bt_reset, 5, 2, 1, 1)
self.bt_view_compare = QtWidgets.QPushButton(self.centralWidget)
self.bt_view_compare.setObjectName("bt_view_compare")
self.gridLayout.addWidget(self.bt_view_compare, 6, 0, 1, 1)
self.bt_save = QtWidgets.QPushButton(self.centralWidget)
self.bt_save.setObjectName("bt_save")
self.gridLayout.addWidget(self.bt_save, 7, 1, 1, 1)
self.bt_save_compare = QtWidgets.QPushButton(self.centralWidget)
self.bt_save_compare.setObjectName("bt_save_compare")
self.gridLayout.addWidget(self.bt_save_compare, 7, 2, 1, 1)
self.verticalLayout.addLayout(self.gridLayout)
self.window.setCentralWidget(self.centralWidget)
self.retranslateUi()
QtCore.QMetaObject.connectSlotsByName(self.window)
def save(self,output_path,output_im):
'''
保存图片
'''
cv2.imencode('.jpg',output_im)[1].tofile(output_path)
def retranslateUi(self):
_translate = QtCore.QCoreApplication.translate
self.window.setWindowTitle(_translate("MainWindow", "AI美颜"))
self.bt_whitening.setText(_translate("MainWindow", "美白"))
self.bt_smooth.setText(_translate("MainWindow", "磨皮"))
self.bt_sharpen.setText(_translate("MainWindow", "亮眼"))
self.bt_brightening.setText(_translate("MainWindow", "红唇"))
self.bt_open.setText(_translate("MainWindow", "打开文件"))
self.bt_confirm.setText(_translate("MainWindow", "确认更改"))
self.bt_cancel.setText(_translate("MainWindow", "撤销更改"))
self.bt_reset.setText(_translate("MainWindow", "还原"))
self.bt_view_compare.setText(_translate("MainWindow", "查看对比"))
self.bt_save.setText(_translate("MainWindow", "保存"))
self.bt_save_compare.setText(_translate("MainWindow", "保存对比图"))
if __name__ == "__main__":
app = QtWidgets.QApplication(sys.argv)
MainWindow = QtWidgets.QMainWindow()
ui = Ui_MainWindow(MainWindow)
ui.window.show()
sys.exit(app.exec_())
算法实现代码如下：
import sys,os,traceback
import cv2
import dlib
import numpy as np
class NoFace(Exception):
'''
没脸
'''
pass
class Organ():
def __init__(self,im_bgr,im_hsv,temp_bgr,temp_hsv,landmark,name,ksize=None):
'''
五官部位类
arguments:
im_bgr:uint8 array, inference of BGR image
im_hsv:uint8 array, inference of HSV image
temp_bgr/hsv:global temp image
landmark:array(x,2), landmarks
name:string
'''
self.im_bgr,self.im_hsv,self.landmark,self.name=im_bgr,im_hsv,landmark,name
self.get_rect()
self.shape=(int(self.bottom-self.top),int(self.right-self.left))
self.size=self.shape[0]*self.shape[1]*3
self.move=int(np.sqrt(self.size/3)/20)
self.ksize=self.get_ksize()
self.patch_bgr,self.patch_hsv=self.get_patch(self.im_bgr),self.get_patch(self.im_hsv)
self.set_temp(temp_bgr,temp_hsv)
self.patch_mask=self.get_mask_re()
pass
def set_temp(self,temp_bgr,temp_hsv):
self.im_bgr_temp,self.im_hsv_temp=temp_bgr,temp_hsv
self.patch_bgr_temp,self.patch_hsv_temp=self.get_patch(self.im_bgr_temp),self.get_patch(self.im_hsv_temp)
def confirm(self):
'''
确认操作
'''
self.im_bgr[:],self.im_hsv[:]=self.im_bgr_temp[:],self.im_hsv_temp[:]
def update_temp(self):
'''
更新临时图片
'''
self.im_bgr_temp[:],self.im_hsv_temp[:]=self.im_bgr[:],self.im_hsv[:]
def get_ksize(self,rate=15):
size=max([int(np.sqrt(self.size/3)/rate),1])
size=(size if size%2==1 else size+1)
return (size,size)
def get_rect(self):
'''
获得定位方框
'''
ys,xs=self.landmark[:,1],self.landmark[:,0]
self.top,self.bottom,self.left,self.right=np.min(ys),np.max(ys),np.min(xs),np.max(xs)
def get_patch(self,im):
'''
截取局部切片
'''
shape=im.shape
return im[np.max([self.top-self.move,0]):np.min([self.bottom+self.move,shape[0]]),np.max([self.left-self.move,0]):np.min([self.right+self.move,shape[1]])]
def _draw_convex_hull(self,im, points, color):
'''
勾画多凸边形
'''
points = cv2.convexHull(points)
cv2.fillConvexPoly(im, points, color=color)
def get_mask_re(self,ksize=None):
'''
获得局部相对坐标遮罩
'''
if ksize==None:
ksize=self.ksize
landmark_re=self.landmark.copy()
landmark_re[:,1]-=np.max([self.top-self.move,0])
landmark_re[:,0]-=np.max([self.left-self.move,0])
mask = np.zeros(self.patch_bgr.shape[:2], dtype=np.float64)
self._draw_convex_hull(mask,
landmark_re,
color=1)
mask = np.array([mask, mask, mask]).transpose((1, 2, 0))
mask = (cv2.GaussianBlur(mask, ksize, 0) > 0) * 1.0
return cv2.GaussianBlur(mask, ksize, 0)[:]
def get_mask_abs(self,ksize=None):
'''
获得全局绝对坐标遮罩
'''
if ksize==None:
ksize=self.ksize
mask = np.zeros(self.im_bgr.shape, dtype=np.float64)
patch=self.get_patch(mask)
patch[:]=self.patch_mask[:]
return mask
def whitening(self,rate=0.15,confirm=True):
'''
提亮美白
arguments:
rate:float,-1~1,new_V=min(255,V*(1+rate))
confirm:wether confirm this option
'''
if confirm:
self.confirm()
self.patch_hsv[:,:,-1]=np.minimum(self.patch_hsv[:,:,-1]+self.patch_hsv[:,:,-1]*self.patch_mask[:,:,-1]*rate,255).astype('uint8')
self.im_bgr[:]=cv2.cvtColor(self.im_hsv, cv2.COLOR_HSV2BGR)[:]
self.update_temp()
else:
self.patch_hsv_temp[:]=cv2.cvtColor(self.patch_bgr_temp, cv2.COLOR_BGR2HSV)[:]
self.patch_hsv_temp[:,:,-1]=np.minimum(self.patch_hsv_temp[:,:,-1]+self.patch_hsv_temp[:,:,-1]*self.patch_mask[:,:,-1]*rate,255).astype('uint8')
self.patch_bgr_temp[:]=cv2.cvtColor(self.patch_hsv_temp, cv2.COLOR_HSV2BGR)[:]
def brightening(self,rate=0.3,confirm=True):
'''
提升鲜艳度
arguments:
rate:float,-1~1,new_S=min(255,S*(1+rate))
confirm:wether confirm this option
'''
patch_mask=self.get_mask_re((1,1))
if confirm:
self.confirm()
patch_new=self.patch_hsv[:,:,1]*patch_mask[:,:,1]*rate
patch_new=cv2.GaussianBlur(patch_new,(3,3),0)
self.patch_hsv[:,:,1]=np.minimum(self.patch_hsv[:,:,1]+patch_new,255).astype('uint8')
self.im_bgr[:]=cv2.cvtColor(self.im_hsv, cv2.COLOR_HSV2BGR)[:]
self.update_temp()
else:
self.patch_hsv_temp[:]=cv2.cvtColor(self.patch_bgr_temp, cv2.COLOR_BGR2HSV)[:]
patch_new=self.patch_hsv_temp[:,:,1]*patch_mask[:,:,1]*rate
patch_new=cv2.GaussianBlur(patch_new,(3,3),0)
self.patch_hsv_temp[:,:,1]=np.minimum(self.patch_hsv[:,:,1]+patch_new,255).astype('uint8')
self.patch_bgr_temp[:]=cv2.cvtColor(self.patch_hsv_temp, cv2.COLOR_HSV2BGR)[:]
def smooth(self,rate=0.6,ksize=None,confirm=True):
'''
磨皮
arguments:
rate:float,0~1,im=rate*new+(1-rate)*src
confirm:wether confirm this option
'''
if ksize==None:
ksize=self.get_ksize(80)
index=self.patch_mask>0
if confirm:
self.confirm()
patch_new=cv2.GaussianBlur(cv2.bilateralFilter(self.patch_bgr,3,*ksize),ksize,0)
self.patch_bgr[index]=np.minimum(rate*patch_new[index]+(1-rate)*self.patch_bgr[index],255).astype('uint8')
self.im_hsv[:]=cv2.cvtColor(self.im_bgr, cv2.COLOR_BGR2HSV)[:]
self.update_temp()
else:
patch_new=cv2.GaussianBlur(cv2.bilateralFilter(self.patch_bgr_temp,3,*ksize),ksize,0)
self.patch_bgr_temp[index]=np.minimum(rate*patch_new[index]+(1-rate)*self.patch_bgr_temp[index],255).astype('uint8')
self.patch_hsv_temp[:]=cv2.cvtColor(self.patch_bgr_temp, cv2.COLOR_BGR2HSV)[:]
def sharpen(self,rate=0.3,confirm=True):
'''
锐化
'''
patch_mask=self.get_mask_re((3,3))
kernel = np.zeros( (9,9), np.float32)
kernel[4,4] = 2.0 #Identity, times two!
#Create a box filter:
boxFilter = np.ones( (9,9), np.float32) / 81.0
#Subtract the two:
kernel = kernel - boxFilter
index=patch_mask>0
if confirm:
self.confirm()
sharp=cv2.filter2D(self.patch_bgr,-1,kernel)
self.patch_bgr[index]=np.minimum(((1-rate)*self.patch_bgr)[index]+sharp[index]*rate,255).astype('uint8')
self.update_temp()
else:
sharp=cv2.filter2D(self.patch_bgr_temp,-1,kernel)
self.patch_bgr_temp[:]=np.minimum(self.patch_bgr_temp+self.patch_mask*sharp*rate,255).astype('uint8')
self.patch_hsv_temp[:]=cv2.cvtColor(self.patch_bgr_temp, cv2.COLOR_BGR2HSV)[:]
class Forehead(Organ):
def __init__(self,im_bgr,im_hsv,temp_bgr,temp_hsv,landmark,mask_organs,name,ksize=None):
self.mask_organs=mask_organs
super(Forehead,self).__init__(im_bgr,im_hsv,temp_bgr,temp_hsv,landmark,name,ksize)
def get_mask_re(self,ksize=None):
'''
获得局部相对坐标遮罩
'''
if ksize==None:
ksize=self.ksize
landmark_re=self.landmark.copy()
landmark_re[:,1]-=np.max([self.top-self.move,0])
landmark_re[:,0]-=np.max([self.left-self.move,0])
mask = np.zeros(self.patch_bgr.shape[:2], dtype=np.float64)
self._draw_convex_hull(mask,
landmark_re,
color=1)
mask = np.array([mask, mask, mask]).transpose((1, 2, 0))
mask = (cv2.GaussianBlur(mask, ksize, 0) > 0) * 1.0
patch_organs=self.get_patch(self.mask_organs)
mask= cv2.GaussianBlur(mask, ksize, 0)[:]
mask[patch_organs>0]=(1-patch_organs[patch_organs>0])
return mask
class Face(Organ):
'''
脸类
arguments:
im_bgr:uint8 array, inference of BGR image
im_hsv:uint8 array, inference of HSV image
temp_bgr/hsv:global temp image
landmarks:list, landmark groups
index:int, index of face in the image
'''
def __init__(self,im_bgr,img_hsv,temp_bgr,temp_hsv,landmarks,index):
self.index=index
#五官名称
self.organs_name=['jaw','mouth','nose','left eye','right eye','left brow','right brow']
#五官等标记点
self.organs_points=[list(range(0, 17)),list(range(48, 61)),list(range(27, 35)),list(range(42, 48)),list(range(36, 42)),list(range(22, 27)),list(range(17, 22))]
#实例化脸对象和五官对象
self.organs={name:Organ(im_bgr,img_hsv,temp_bgr,temp_hsv,landmarks[points],name) for name,points in zip(self.organs_name,self.organs_points)}
#获得额头坐标，实例化额头
mask_nose=self.organs['nose'].get_mask_abs()
mask_organs=(self.organs['mouth'].get_mask_abs()+mask_nose+self.organs['left eye'].get_mask_abs()+self.organs['right eye'].get_mask_abs()+self.organs['left brow'].get_mask_abs()+self.organs['right brow'].get_mask_abs())
forehead_landmark=self.get_forehead_landmark(im_bgr,landmarks,mask_organs,mask_nose)
self.organs['forehead']=Forehead(im_bgr,img_hsv,temp_bgr,temp_hsv,forehead_landmark,mask_organs,'forehead')
mask_organs+=self.organs['forehead'].get_mask_abs()
# 人脸的完整标记点
self.FACE_POINTS = np.concatenate([landmarks,forehead_landmark])
super(Face,self).__init__(im_bgr,img_hsv,temp_bgr,temp_hsv,self.FACE_POINTS,'face')
mask_face=self.get_mask_abs()-mask_organs
self.patch_mask=self.get_patch(mask_face)
pass
def get_forehead_landmark(self,im_bgr,face_landmark,mask_organs,mask_nose):
'''
计算额头坐标
'''
#画椭圆
radius=(np.linalg.norm(face_landmark[0]-face_landmark[16])/2).astype('int32')
center_abs=tuple(((face_landmark[0]+face_landmark[16])/2).astype('int32'))
angle=np.degrees(np.arctan((lambda l:l[1]/l[0])(face_landmark[16]-face_landmark[0]))).astype('int32')
mask=np.zeros(mask_organs.shape[:2], dtype=np.float64)
cv2.ellipse(mask,center_abs,(radius,radius),angle,180,360,1,-1)
#剔除与五官重合部分
mask[mask_organs[:,:,0]>0]=0
#根据鼻子的肤色判断真正的额头面积
index_bool=[]
for ch in range(3):
mean,std=np.mean(im_bgr[:,:,ch][mask_nose[:,:,ch]>0]),np.std(im_bgr[:,:,ch][mask_nose[:,:,ch]>0])
up,down=mean+0.5*std,mean-0.5*std
index_bool.append((im_bgr[:,:,ch]
up))
index_zero=((mask>0)&index_bool[0]&index_bool[1]&index_bool[2])
mask[index_zero]=0
index_abs=np.array(np.where(mask>0)[::-1]).transpose()
landmark=cv2.convexHull(index_abs).squeeze()
return landmark
class Makeup():
'''
化妆器
'''
def __init__(self,predictor_path="./data/shape_predictor_68_face_landmarks.dat"):
self.photo_path=[]
self.PREDICTOR_PATH = predictor_path
self.faces={}
#人脸定位、特征提取器，来自dlib
self.detector = dlib.get_frontal_face_detector()
self.predictor = dlib.shape_predictor(self.PREDICTOR_PATH)
def get_faces(self,im_bgr,im_hsv,temp_bgr,temp_hsv,name,n=1):
'''
人脸定位和特征提取，定位到两张及以上脸或者没有人脸将抛出异常
im:
照片的numpy数组
fname:
照片名字的字符串
返回值:
人脸特征(x,y)坐标的矩阵
'''
rects = self.detector(im_bgr, 1)
if len(rects) <1:
raise NoFace('Too many faces in '+name)
return {name:[Face(im_bgr,im_hsv,temp_bgr,temp_hsv,np.array([[p.x, p.y] for p in self.predictor(im_bgr, rect).parts()]),i) for i,rect in enumerate(rects)]}
def read_im(self,fname,scale=1):
'''
读取图片
'''
im = cv2.imdecode(np.fromfile(fname,dtype=np.uint8),-1)
if type(im)==type(None):
print(fname)
raise ValueError('Opencv error reading image "{}" , got None'.format(fname))
return im
def read_and_mark(self,fname):
im_bgr=self.read_im(fname)
im_hsv=cv2.cvtColor(im_bgr, cv2.COLOR_BGR2HSV)
temp_bgr,temp_hsv=im_bgr.copy(),im_hsv.copy()
return im_bgr,temp_bgr,self.get_faces(im_bgr,im_hsv,temp_bgr,temp_hsv,fname)
if __name__=='__main__':
path='./heads/5.jpg'
mu=Makeup()
im,temp_bgr,faces=mu.read_and_mark(path)
imc=im.copy()
cv2.imshow('ori',imc)
for face in faces[path]:
face.whitening()
face.smooth(0.7)
face.organs['forehead'].whitening()
face.organs['forehead'].smooth(0.7)
face.organs['mouth'].brightening()
face.organs['mouth'].smooth(0.7)
face.organs['mouth'].whitening()
face.organs['left eye'].whitening()
face.organs['right eye'].whitening()
face.organs['left eye'].sharpen()
face.organs['right eye'].sharpen()
face.organs['left eye'].smooth()
face.organs['right eye'].smooth()
face.organs['left brow'].whitening()
face.organs['right brow'].whitening()
face.organs['left brow'].sharpen()
face.organs['right brow'].sharpen()
face.organs['nose'].whitening()
face.organs['nose'].smooth(0.7)
face.organs['nose'].sharpen()
face.sharpen()
cv2.imshow('new',im.copy())
cv2.waitKey()
print('Quiting')
