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我正在嘗試使用Face API Python 2.7。我想通過照片進行性別認定，但總是得到錯誤。這是我的代碼：如果我使用的鏈接，而不是照片Face API Python
Traceback (most recent call last):
File "<ipython-input-314-df31294bc16f>", line 3, in <module>
res = conn.getresponse()
File "d:\Anaconda2\lib\httplib.py", line 1136, in getresponse
response.begin()
File "d:\Anaconda2\lib\httplib.py", line 453, in begin
version, status, reason = self._read_status()
File "d:\Anaconda2\lib\httplib.py", line 409, in _read_status
line = self.fp.readline(_MAXLINE + 1)
File "d:\Anaconda2\lib\socket.py", line 480, in readline
data = self._sock.recv(self._rbufsize)
File "d:\Anaconda2\lib\ssl.py", line 756, in recv
return self.read(buflen)
File "d:\Anaconda2\lib\ssl.py", line 643, in read
v = self._sslobj.read(len)
error: [Errno 10054]
：
img_url='https://raw.githubusercontent.com/Microsoft/Cognitive-Face-Windows/master/Data/detection1.jpg'
conn = httplib.HTTPSConnection("api.projectoxford.ai")
conn.request("POST", "/vision/v1.0/tag?%s" % params, img_url, headers)
res = conn.getresponse()
data = res.read()
conn.close()
我得到：
from six.moves import urllib
import httplib
import json
params = urllib.urlencode({
'returnFaceId': 'true',
'returnFaceAttributes': 'true',
'returnFaceAttributes': '{string}',
})
headers = {
'ocp-apim-subscription-key': "ee6b8785e7504dfe91efb96d37fc7f51",
'content-type': "application/octet-stream"
}
img = open("d:/Taylor.jpg", "rb")
conn = httplib.HTTPSConnection("api.projectoxford.ai")
conn.request("POST", "/vision/v1.0/tag?%s" % params, img, headers)
res = conn.getresponse()
data = res.read()
conn.close()
我得到這個錯誤
data
Out[330]: '{ "statusCode": 401, "message": "Access denied due to invalid subscription key. Make sure to provide a valid key for an active subscription." }'
如果我使用：
KEY = 'ee6b8785e7504dfe91efb96d37fc7f51'
CF.Key.set(KEY)
img_url = 'https://raw.githubusercontent.com/Microsoft/Cognitive-Face-Windows/master/Data/detection1.jpg'
result = CF.face.detect(img_url)
一切工作正常：
result
[{u'faceId': u'52c0d1ac-f041-49cd-a587-e81ef67be2fb',
u'faceRectangle': {u'height': 213,
u'left': 154,
u'top': 207,
u'width': 213}}]
但在這種情況下，我不知道如何使用方法returnFaceAttribute（性別檢測） 也是，如果我使用img in result = CF.face.detect(img_url) instead img_url 我收到一個錯誤：status_code：400
response: {"error":{"code":"InvalidImageSize","message":"Image size is too small or too big."}}
Traceback (most recent call last):
File "<ipython-input-332-3fe2623ccadc>", line 1, in <module>
result = CF.face.detect(img)
File "d:\Anaconda2\lib\site-packages\cognitive_face\face.py", line 41, in detect
data=data)
File "d:\Anaconda2\lib\site-packages\cognitive_face\util.py", line 84, in request
error_msg.get('message'))
CognitiveFaceException: Image size is too small or too big.
這發生了各種各樣的img大小。
任何人都可以解釋如何解決這些問題？