def tryFaceAPIError(faceapijson):
if 'error' in faceapijson:
print('CODE:', faceapijson['error']['code'])
print('MESSAGE:', faceapijson['error']['message'])
text = faceapijson['error']['code'] + ": " + faceapijson['error'][
'message']
ClassCV.cv_ImageText('存取發生錯誤！', text)
def Identify(self, pictureurl):
''' 14: 進行「辨識」，使用 image URL or 檔案路徑 '''
start = int(round(time.time() * 1000))
print('開始計時 identify')
faceApi = FaceAPI.Face(api_key, host)
personApi = FaceAPI.Person(api_key, host)
print('載入 class', int(round(time.time() * 1000) - start), 'ms')
#imageurl = input('請輸入準備要辨識的 image URL or 檔案路徑:')
if pictureurl.startswith('http'):
detectfaces = faceApi.detectURLImages(pictureurl)
else:
pictureurl = pictureurl.strip()
statinfo = os.stat(pictureurl)
print('檔案大小：', statinfo.st_size, 'Bytes')
if statinfo.st_size < 1024:
print('圖檔太小 不可小於 1KB')
sys.exit(1)
elif statinfo.st_size > 4 * 1024 * 1024:
print('圖檔太大 不可大於 4MB')
im = Image.open(pictureurl)
out = im.resize((128, 128))
im.save(pictureurl, "JPEG")
print('out=', type(out))
detectfaces = faceApi.detectLocalImage(pictureurl)
# if len(detectfaces) == 0:
# print('相片中找不到人！')
# sys.exit(1)
faceids = []
for detectface in detectfaces:
print('所偵測到的 faceId=', detectface['faceId'])
faceids.append(detectface['faceId'])
print('Identify.detectfaces=', detectfaces)
try:
identifiedfaces = faceApi.identify(faceids[:10], personGroupId)
print('在所提供的相片中偵測到 identifyfaces 共 ', len(identifiedfaces), '個')
except MyException.PersonGroupNotTrainedError as e:
print('接到例外！MyException.PersonGroupNotTrainedError as e')
print('Identify.detectedFaces=', detectfaces)
ClassCV.cv_Identifyfaces(detectfaces, pictureurl)
#ClassTK.tk_UnknownPerson('texttest....', pictureurl, pictureurl)
return
print('在所提供的相片中偵測到 identifyfaces 共 ', len(identifiedfaces), '個')
# successes = []
for identifiedface in identifiedfaces:
for candidate in identifiedface['candidates']:
personId = candidate["personId"]
person = personApi.get_a_person(personId, personGroupId)
identifiedface['person'] = person
identifiedface['confidence'] = candidate["confidence"]
identifiedface['personId'] = candidate["personId"]
Utils.SigninIdentifyfaces(identifiedfaces, pictureurl)
def __init__(self, message):
self.message = message
text = 'API KEY 已經失效，請到 config 設定有效的 API KEY。'
print(text)
if ClassUtils.isLinux():
print(text)
else:
# import ClassMessageBox
# ClassMessageBox.MessageGUI(message, text)
print(text)
ClassCV.cv_ImageText('「驗證失敗」', text)
def SigninIdentifyfaces(identifyfaces, picture=None):
if isLinux():
if len(identifyfaces) == 0:
print('照片裡沒有人！')
return
for identifyface in identifyfaces:
if 'person' in identifyface:
print("identifyface['confidence']=",identifyface['confidence'])
name = protectPersonName(identifyface['person']['name'])
textConfidence(name, identifyface['confidence'])
else:
print('你哪位？', identifyface)
elif isWindows() or isDarwin():
import ClassCV
ClassCV.cv_Identifyfaces(identifyfaces, picture)
def takePicture_opencv(personGroupId, delay, typee):
if (ClassUtils.isWindows() or ClassUtils.isDarwin()):
picturepath = ClassCV.show_opencv(typee, mirror=True)
return picturepath
else:
print('若系統為樹莓派，則需設定 camera 為 CSIcamera 無法以 webcam 作為影像來源。')
return None