def call_face_emotion_api(img):
# Face API and Emotion API Variables
_url_face = 'https://api.projectoxford.ai/face/v1.0/detect'
_key_face = '5d99eec09a7e4b2a916eba7f75671600' # primary key
_url_emo = 'https://api.projectoxford.ai/emotion/v1.0/recognize'
_key_emo = "b226d933ab854505b9b9877cf2f4ff7c" # primary key
_maxNumRetries = 10
global age, gender, emo
cv2.imwrite('test.jpg', img)
pathToFileInDisk = r'test.jpg'
with open( pathToFileInDisk, 'rb' ) as f:
data = f.read()
"""
Face API
"""
# Face detection parameters
params = { 'returnFaceAttributes': 'age,gender,glasses',
'returnFaceLandmarks': 'true'}
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_face
headers['Content-Type'] = 'application/octet-stream'
json = None
faceResult, status_code = processRequest('post', _url_face, json, data, headers, params, _maxNumRetries )
"""
Emotion API
"""
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_emo
headers['Content-Type'] = 'application/octet-stream'
json = None
emoResult, status_code2 = processRequest('post', _url_emo, json, data, headers, None, _maxNumRetries )
"""
Results
"""
print 'Found {} faces'.format(len(faceResult))
for currFace in faceResult:
#faceRectangle = currFace['faceRectangle']
faceAttributes = currFace['faceAttributes']
age = str(faceAttributes['age'])
gender = faceAttributes['gender']
glasses = faceAttributes['glasses']
print age, gender, glasses
for currFace in emoResult:
emo = max(currFace['scores'].iteritems(), key=operator.itemgetter(1))[0]
print emo
return age, gender, glasses, emo
def call_face_emotion_api(img):
global age, gender, emo
cv2.imwrite('test.jpg', img)
pathToFileInDisk = r'test.jpg'
with open( pathToFileInDisk, 'rb' ) as f:
data = f.read()
"""
Face API
"""
# Face detection parameters
params = { 'returnFaceAttributes': 'age,gender,glasses',
'returnFaceLandmarks': 'true'}
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_face
headers['Content-Type'] = 'application/octet-stream'
json = None
faceResult = processRequest( _url_face, json, data, headers, params, _maxNumRetries )
"""
Emotion API
"""
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_emo
headers['Content-Type'] = 'application/octet-stream'
json = None
emoResult = processRequest( _url_emo, json, data, headers, None, _maxNumRetries )
"""
Outputs
"""
print 'Found {} faces'.format(len(faceResult))
for currFace in faceResult:
#faceRectangle = currFace['faceRectangle']
faceAttributes = currFace['faceAttributes']
age = str(faceAttributes['age'])
gender = faceAttributes['gender']
glasses = faceAttributes['glasses']
print age, gender, glasses
for currFace in emoResult:
emo = max(currFace['scores'].iteritems(), key=operator.itemgetter(1))[0]
print emo
return age, gender, glasses, emo
def addPersonFace(personGroupId, personId, urlImage, pathToImageInDisk,
imageData):
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_face
if ((urlImage == None) or (urlImage == "")) and (imageData == None):
headers['Content-Type'] = 'application/octet-stream'
json = None
with open(pathToImageInDisk, 'rb') as f:
data = f.read()
if ((pathToImageInDisk == None) or
(pathToImageInDisk == "")) and (imageData == None):
headers['Content-Type'] = 'application/json'
json = {'url': urlImage}
data = None
if (imageData != None):
headers['Content-Type'] = 'application/octet-stream'
data = imageData
json = None
url = _url + 'persongroups/' + personGroupId + '/persons/' + personId + '/persistedFaces'
result, status_code = processRequest('post', url, json, data, headers,
None, 2)
return result['persistedFaceId']
def faceDetect(urlImage, pathToImageInDisk, imageData):
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_face
if ((urlImage == None) or (urlImage == "")) and (imageData == None):
headers['Content-Type'] = 'application/octet-stream'
json = None
with open(pathToImageInDisk, 'rb') as f:
data = f.read()
if ((pathToImageInDisk == None) or
(pathToImageInDisk == "")) and (imageData == None):
headers['Content-Type'] = 'application/json'
json = {'url': urlImage}
data = None
if (imageData != None):
headers['Content-Type'] = 'application/octet-stream'
data = imageData
json = None
# Face detection parameters
params = {
'returnFaceAttributes': 'age,gender,glasses',
'returnFaceLandmarks': 'true'
}
url_face = _url + 'detect'
result, status_code = processRequest('post', url_face, json, data, headers,
params, 10)
return result
def state_cap2(self, key):
'''
CAPTURES / PROCESS IMAGE TEAM 2
'''
# Captures the image and returns the encoded and the opencv versions
img, self.curr_image = self.snp(ret_orig=True)
self.local_shape = self.curr_image.shape
self.curr_image = cv2.resize(self.curr_image,
(self.shape[1], self.shape[0]))
self.team2 = self.curr_image.copy()
msg_pos = (self.shape[1] / 2 - 30, self.shape[0] / 2)
if (time.time() - self.blink) <= 2:
cv2.putText(self.curr_image, "Ready...",
(msg_pos[0] - 30, msg_pos[1]),
cv2.FONT_HERSHEY_SIMPLEX, 1.5, (0, 255, 0), 4)
cv2.putText(self.curr_image, "Emotion: " + self.rnd_emotion,
(msg_pos[0] - 200, msg_pos[1] + 50),
cv2.FONT_HERSHEY_SIMPLEX, 1.5, (0, 255, 0), 6)
cv2.imshow(self.window_name, self.curr_image)
elif 2.25 >= (time.time() - self.blink) > 2:
cv2.putText(self.curr_image, "Go!", (msg_pos[0] - 30, msg_pos[1]),
cv2.FONT_HERSHEY_SIMPLEX, 1.5, (0, 255, 0), 4)
cv2.imshow(self.window_name, self.curr_image)
self.img_changed = True
elif (time.time() - self.blink) > 2.25:
if self.img_changed:
cv2.putText(self.curr_image,
"Enjoy yourself while you wait...",
(msg_pos[0] - 350, msg_pos[1]),
cv2.FONT_HERSHEY_SIMPLEX, 1.5, (0, 255, 0), 4)
cv2.imshow(self.window_name, self.curr_image)
self.img = img
self.img_changed = False # starts the process only once
else:
result = processRequest(None, self.img, self.headers, None,
self.key)
if len(result):
self.team2_data.append(
[result, self.rnd_emotion, self.local_shape])
self.img_changed_2 = True
self.img_changed = True
self.game_state = 'main' # goes back to MAIN SCREEN
else:
print "No results!"
self.blink = time.time()
def createPerson(personGroupId, personName, userData):
headers = {
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key': _key_face,
}
body = {'name': personName, 'userData': userData}
url = _url + 'persongroups/' + personGroupId + '/persons'
result, status_code = processRequest('post', url, body, None, headers,
None, 2)
return result['personId']
def faceDetect(imageData):
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_face
headers['Content-Type'] = 'application/octet-stream'
data = imageData
json = None
# Face detection parameters
params = { 'returnFaceAttributes': 'age,gender,glasses',
'returnFaceLandmarks': 'true'}
url_face = _url + 'detect'
result, status_code = processRequest('post', url_face, json, data, headers, params, 10 )
return result
def faceIdentify(personGroupId, faceIds, nbCandidate):
headers = {
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key': _key_face,
}
json = {
"personGroupId": personGroupId,
"faceIds": faceIds,
"maxNumOfCandidatesReturned": nbCandidate
}
url = _url + 'identify'
result, status_code = processRequest('post', url, json, None, headers, None, 2 )
return result
def createPerson(personGroupId, personName, userData):
headers = {
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key': _key_face,
}
body = {
'name': personName,
'userData': userData
}
url = _url + 'persongroups/' + personGroupId + '/persons'
result, status_code = processRequest('post', url, body, None, headers, None, 2 )
return result['personId']
def faceIdentify(personGroupId, faceIds, nbCandidate):
headers = {
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key': _key_face,
}
json = {
"personGroupId": personGroupId,
"faceIds": faceIds,
"maxNumOfCandidatesReturned": nbCandidate
}
url = _url + 'identify'
result, status_code = processRequest('post', url, json, None, headers,
None, 2)
return result
def faceDetect(imageData):
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_face
headers['Content-Type'] = 'application/octet-stream'
data = imageData
json = None
# Face detection parameters
params = {
'returnFaceAttributes': 'age,gender,glasses',
'returnFaceLandmarks': 'true'
}
url_face = _url + 'detect'
result, status_code = processRequest('post', url_face, json, data, headers,
params, 10)
return result
def recognizeEmotion(urlImage, pathToImageInDisk, imageData):
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_emo
if ((urlImage==None) or (urlImage=="")) and (imageData==None):
headers['Content-Type'] = 'application/octet-stream'
json = None
with open( pathToImageInDisk, 'rb' ) as f:
data = f.read()
if ((pathToImageInDisk==None) or (pathToImageInDisk=="")) and (imageData==None):
headers['Content-Type'] = 'application/json'
json = { 'url': urlImage }
data = None
if (imageData!=None):
headers['Content-Type'] = 'application/octet-stream'
data = imageData
json = None
result, status_code = processRequest('post', _url_emo, json, data, headers, None, _maxNumRetries )
return result
def addPersonFace(personGroupId, personId, urlImage, pathToImageInDisk, imageData):
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_face
if ((urlImage==None) or (urlImage=="")) and (imageData==None):
headers['Content-Type'] = 'application/octet-stream'
json = None
with open( pathToImageInDisk, 'rb' ) as f:
data = f.read()
if ((pathToImageInDisk==None) or (pathToImageInDisk=="")) and (imageData==None):
headers['Content-Type'] = 'application/json'
json = { 'url': urlImage }
data = None
if (imageData!=None):
headers['Content-Type'] = 'application/octet-stream'
data = imageData
json = None
url = _url + 'persongroups/' + personGroupId + '/persons/' + personId + '/persistedFaces'
result, status_code = processRequest('post', url, json, data, headers, None, 2 )
return result['persistedFaceId']
def recognizeEmotion(urlImage, pathToImageInDisk, imageData):
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_emo
if ((urlImage == None) or (urlImage == "")) and (imageData == None):
headers['Content-Type'] = 'application/octet-stream'
json = None
with open(pathToImageInDisk, 'rb') as f:
data = f.read()
if ((pathToImageInDisk == None) or
(pathToImageInDisk == "")) and (imageData == None):
headers['Content-Type'] = 'application/json'
json = {'url': urlImage}
data = None
if (imageData != None):
headers['Content-Type'] = 'application/octet-stream'
data = imageData
json = None
result, status_code = processRequest('post', _url_emo, json, data, headers,
None, _maxNumRetries)
return result
def faceDetect(urlImage, pathToImageInDisk, imageData):
headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key_face
if ((urlImage==None) or (urlImage=="")) and (imageData==None):
headers['Content-Type'] = 'application/octet-stream'
json = None
with open( pathToImageInDisk, 'rb' ) as f:
data = f.read()
if ((pathToImageInDisk==None) or (pathToImageInDisk=="")) and (imageData==None):
headers['Content-Type'] = 'application/json'
json = { 'url': urlImage }
data = None
if (imageData!=None):
headers['Content-Type'] = 'application/octet-stream'
data = imageData
json = None
# Face detection parameters
params = { 'returnFaceAttributes': 'age,gender,glasses',
'returnFaceLandmarks': 'true'}
url_face = _url + 'detect'
result, status_code = processRequest('post', url_face, json, data, headers, params, 10 )
return result
