def getFileFace(self):
imgName, imgType = QFileDialog.getOpenFileName(
self, "打开图片", "", "*.jpg;;*.png;;All Files(*)")
if imgName == "":
return
else:
imgName = imgName.replace('\\', '/')
cv2Image = cv2.imread(imgName)
img = cv2.cvtColor(cv2Image, cv2.COLOR_BGR2RGB)
faceLocation = getFaceLocations(img)
if len(faceLocation) == 0:
QMessageBox.warning(self, '警告', '没有识别到人脸！', QMessageBox.Yes)
self.pushButton_3.setEnabled(False)
return
else:
self.faceEncode = getFaceEncode(img, faceLocation)[0]
# 图片转换
shrink = cv2.resize(cv2Image,
self.labelSize,
interpolation=cv2.INTER_AREA)
# 更改编码
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
image = QImage(shrink.data, shrink.shape[1], shrink.shape[0],
shrink.shape[1] * 3, QImage.Format_RGB888)
self.label.setPixmap(QPixmap().fromImage(image))
self.img = img
self.pushButton_3.setEnabled(True)
def addPerson(image, person):
# 获取数据库操作
p = person_dao_impl.PersonDaoImpl()
# 获取人脸数组
image_numpy = face.imageFile2Numpy(image)
# 获取人脸数组
encode = face.getFaceEncode(image_numpy)
# 查找人脸是否存在
if face.findFaceInLib(encode) is True: # 如果存在
return False
else:
person.faceid = encode
# 人脸图片转码
person.pic = image_numpy
# 添加到数据库
p.addPerson(person)
# 更新数据库信息到本地
p.updateGlFaceLib()
return True
def run(self):
print("FrameService类.GrayThread已打开")
# 等待事件触发
try:
while True:
# 等待灰度图
self.channel.threadEvent[1].wait()
# 先获得灰度图
gray = self.channel.frame[1]
# 获得人脸位置
faceLocation = getFaceLocations(gray)
# 获得人脸位置
if len(faceLocation) == 0:
print("没有人脸")
self.channel.threadEvent[1].clear()
continue
else:
# 获得人脸编码 # .repeat(3, 2)
faceEncoding = getFaceEncode(gray,faceLocation)
print("人脸编码为：{0}".format(faceEncoding))
pass
# 通知水印。。
self.channel.threadEvent[1].clear()
except:
error = traceback.fromat_exc()
raise Exception(error)
def getFaceInCamera(self):
# 打开人脸识别框
cap = cv2.VideoCapture(2)
faceLocation = None
img = None
flag = False
while (1):
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# get a frame
ret, frame = cap.read()
# 转码
img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
faceLocation = getFaceLocations(img)
# show a frame
if len(faceLocation) == 0:
cv2.imshow("show", frame)
continue
else:
# 设置图片
self.frame = frame
# 遍历人脸位置信息
for top, right, bottom, left in faceLocation:
# 对人脸画框
cv2.rectangle(frame, (left, top), (right, bottom),
(0, 255, 0), 2)
cv2.imshow("show", frame)
# 获取编码
self.faceEncode = getFaceEncode(img, faceLocation)[0]
time.sleep(2)
flag = True
break
cap.release()
cv2.destroyAllWindows()
# 是否获取
if flag == False:
return False
# 图片转换
shrink = cv2.resize(self.frame,
self.labelSize,
interpolation=cv2.INTER_AREA)
# 更改编码
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
image = QImage(shrink.data, shrink.shape[1], shrink.shape[0],
shrink.shape[1] * 3, QImage.Format_RGB888)
self.label.setPixmap(QPixmap().fromImage(image))
self.img = img
# 收获到人脸判断是否存在
# 获取人脸后退出
# 将人脸写到label
# 打开输入选项
self.pushButton_3.setEnabled(True)