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()
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"))
import cv2, time
from AIMakeup import Makeup
if __name__ == '__main__':
cap = cv2.VideoCapture("output.mp4") # 输入视频地址
mu = Makeup()
fps = cap.get(cv2.CAP_PROP_FPS)
w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
videoWriter = cv2.VideoWriter('saveVideo.avi', fourcc, fps,
(w, h)) # 最后一个是保存图片的尺寸
flag = 0
time_start = time.time_ns()
while (cap.isOpened()):
loop_time_start = time.time()
flag += 1
# get a frame
ret, frame = cap.read()
# show a frame
# cv2.imshow("capture", frame)
# 整体双边滤波
frame = cv2.bilateralFilter(frame, 3, 75, 75)
im, temp_bgr, faces = mu.read_and_mark(frame)
print(faces)
if (len(faces) >= 1):
print('美化了第 {} 帧'.format(flag))
for face in faces:
# Load the pre-trained classifiers. These can be found in opencv/data/haarcascades
# but are also inside the lab directory for your convenience.
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
cap = cv2.VideoCapture(0) # Open the webcam device.
while True:
ret, img = cap.read() # Read an frame from the webcam.
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY
) # Convert the frame to grayscale for face detection.
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0),
2) # Draw a blue box around each face.
mu = Makeup()
im, temp_bgr, facesAiMakeup = mu.read_and_mark_no_path(img)
for face in facesAiMakeup['test']:
face.organs['mouth'].lipstipN(171.845, 119.85)
cv2.imshow('new', img)
# Close the script when q is pressed.
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()