def _get_db_faces(self, db_img_dir=None):
"""
Get faces from images
:return: a dict in the format of
{ <person_name> : [< a_str_of_face_id >, ...]
...
...
"failed" : [< failed_photo_path_1 >, < failed_photo_path_2 > ...]
}
"""
faces = {}
for person in Person.query.all():
faces[person.name] = []
for photo in person.photos:
photo_path = os.path.join(UPLOAD_DIR, photo.filename)
print(photo_path)
photo_file = facepp.File(photo_path)
try:
f_id = self._detect_face(photo_file)
except NoFaceDetectedError:
print("{} failed!".format(photo_path))
else:
faces[person.name].append(f_id)
return faces
def add(self, name, img):
try:
rs = self.api.detection.detect(img=facepp.File(img))
rs = self.api.person.create(person_name=name,
face_id=rs['face'][0]['face_id'])
rs = self.api.group.add_person(group_name=self.group_name,
person_name=name)
rs = self.api.train.identify(group_name=self.group_name)
rs = self.api.wait_async(rs['session_id'])
except facepp.APIError as e:
logging.error(e.body)
return e.code
return 0
def add_person(self, img_path, remove_if_exist, person_name=None):
"""
Add one 'Person' to the 'Group' at the server
directly from local image file
:param img_path: the path to the image file
:param remove_if_exist: namely
:param person_name: the name of the person, by default is the file name without suffix
"""
if person_name is None:
person_name = os.path.basename(img_path).split(".")[0] # remove suffix name
face_id = self._detect_face(facepp.File(img_path))
self._create_person(person_name, remove_if_exist, face_id=face_id, group_name=self.group_name)
def recognise(self, img):
try:
self.snap()
rs = self.api.recognition.identify(group_name=self.group_name,
img=facepp.File(img))
except facepp.APIError as e:
logging.error(e.body)
return []
result = {'confidence': 0}
for face in rs['face']:
for candidate in face['candidate']:
if candidate['confidence'] > result['confidence']:
result = candidate
if result['confidence'] > 30:
return result
print hint
result = encode(result)
print '\n'.join([' ' + i for i in pformat(result, width=75).split('\n')])
# 首先，导入SDK中的API类,还有本地文件读取所需要的ｆａｃｅｐｐ类
from facepp import API
import facepp
api = API(API_KEY, API_SECRET)
#face = api.detection.detect(img = facepp.File('3.jpg'))
# 人名及其脸部图片
#IMAGE_DIR = 'http://www.urlteam.org/wp-content/uploads/2016/02/3.jpg'
#facepp.File('3.jpg')
PERSONS = [
('yaxin', facepp.File('picture/yaxin/1.jpg')),
('yaxin', facepp.File('picture/yaxin/2.jpg')),
('xuna', facepp.File('picture/xuna/1.jpg')),
('xuna', facepp.File('picture/xuna/2.jpg')),
('luyi', facepp.File('picture/luyi/1.jpg')),
('qidao', facepp.File('picture/qidao/1.jpg')),
('qidao', facepp.File('picture/qidao/2.jpg')),
('qidao', facepp.File('picture/qidao/3.jpg')),
]
TARGET_IMAGE = facepp.File('picture/xuna/3.jpg') # IMAGE_DIR
# 步骤1：检测出三张输入图片中的Face，找出图片中Face的位置及属性
FACES = {name: api.detection.detect(img=url) for name, url in PERSONS}
for name, face in FACES.iteritems():
if type(obj) is dict:
return {encode(k): encode(v) for (k, v) in obj.iteritems()}
if type(obj) is list:
return [encode(i) for i in obj]
return obj
print hint
result = encode(result)
print '\n'.join([' ' + i for i in pformat(result, width=75).split('\n')])
api = API(API_KEY, API_SECRET)
#face = api.detection.detect(img = facepp.File('3.jpg'))
# IMAGE_DIR 此部分则是选择出需要进行分析的图片。。管理员模式下不用设置实用。（可能有文件打开错误的ｂｕｇ，如果本身没有end.jpg的话。）
TARGET_IMAGE = facepp.File('end.jpg')
print("已经读取图片，正在进行人脸识别，根据网络环境速度不定。")
#识别end.jpg图中的Face
rst = api.recognition.identify(group_name='test', img=TARGET_IMAGE)
#print_result('识别结果:', rst)
print '=' * 60
print '识别结果最匹配的对象为:', \
rst['face'][0]['candidate'][0]['person_name']
print("正在写入kaoqin.txt中,当前时间为：" + " " + time.asctime())
print '=' * 60
fp = open("kaoqin.txt", 'a')
fp.write("姓名:" + " " + rst['face'][0]['candidate'][0]['person_name'] +
"签到时间:" + " " + time.asctime() + "\n")
fp.close()
for name in a:
print (name)
dir_temp = dir +'/'+name
b = os.listdir(dir_temp)
print(b)
for img_name in b:
if img_name[-1] != 'g':
continue
dir_img =dir_temp+'/'+img_name
print (dir_img)
f = open(dir_temp+'/name.txt')
a = f.read()
f.close()
dir_temp
yuan = (a,facepp.File(dir_img))
PERSONS.append(yuan)
print (PERSONS)
# c = facepp.File(''))
TARGET_IMAGE = facepp.File('end.jpg')# IMAGE_DIR
# 步骤1：检测出三张输入图片中的Face，找出图片中Face的位置及属性
FACES = {name: api.detection.detect(img = url)
for name, url in PERSONS}
for name, face in FACES.iteritems():
print_result(name, face)
return [(landmarks[key]['x'], landmarks[key]['y']) for key in landmarks
if re.match("contour", key)]
#############################################################
# Main execution
#############################################################
prediction_service = build('prediction', 'v1.6', developerKey=DEV_KEY)
prediction_service.hostedmodels()
facepp_api = facepp.API(API_KEY, API_SECRET, srv=API_SERVER)
face = facepp_api.detection.detect(img=facepp.File(IMAGE_PATH))
landmark = facepp_api.detection.landmark(face_id=face['face'][0]['face_id'],
type='83p')
window = pyglet.window.Window()
vertex_list_eyes = pyglet.graphics.vertex_list(
len(getEyes(landmark["result"][0]["landmark"])), ('v2f', [
value for point in getEyes(landmark["result"][0]["landmark"])
for value in point
]))
vertex_list_nose = pyglet.graphics.vertex_list(
len(getNose(landmark["result"][0]["landmark"])), ('v2f', [
value for point in getNose(landmark["result"][0]["landmark"])
for value in point
]))
def identify_new_face(self, path_to_image):
ret = self.api.recognition.identify(group_name=self.group_name, post=True, img=facepp.File(path_to_image))
ret = ret['face'][0]['candidate']
#print("Result of face identification to '{}'\nCandidates:".format(path_to_image))
#for r in ret:
# print(u"{}:\t{:.3f}%".format(r["person_name"], r["confidence"]))
return ret
#face = api.detection.detect(img = facepp.File('3.jpg'))
# 人名及其脸部图片
#IMAGE_DIR = 'http://www.urlteam.org/wp-content/uploads/2016/02/3.jpg'
#facepp.File('3.jpg')
import os
path = r'./picture'
fns = [
os.path.join(root, fn) for root, dirs, files in os.walk(path)
for fn in files
]
for f in fns:
print(f)
print(len(fns))
PERSONS = [
(u'雅新', facepp.File('picture/yaxin/1.jpg')),
(u'雅新', facepp.File('picture/yaxin/2.jpg')),
(u'许娜', facepp.File('picture/xuna/1.jpg')),
(u'许娜', facepp.File('picture/xuna/2.jpg')),
(u'陆毅', facepp.File('picture/luyi/1.jpg')),
(u'其道', facepp.File('picture/qidao/1.jpg')),
(u'其道', facepp.File('picture/qidao/2.jpg')),
(u'其道', facepp.File('picture/qidao/3.jpg')),
]
TARGET_IMAGE = facepp.File('picture/1/3.jpg') # IMAGE_DIR
# 步骤1：检测出三张输入图片中的Face，找出图片中Face的位置及属性
FACES = {name: api.detection.detect(img=url) for name, url in PERSONS}
for name, face in FACES.iteritems():
print_result(name, face)