Support more face attributes in SDK & Sample. (#11)

* Update docstrings for face.detect by introducing emotion.

* Update sample to support headPose,facialHair,emotion.

* Add missing emotion attribute.

* Update README.md.

* pylint.

* Bump version to 1.2.5.

README.md

@@ -59,7 +59,7 @@ python sample
 ```
 
 ## Contributing
-We welcome contributions. Feel free to file issues and pull requests on the repo and we'll address them as we can. Learn more about how you can help on our [Contribution Rules & Guidelines](</CONTRIBUTING.md>). 
+We welcome contributions. Feel free to file issues and pull requests on the repo and we'll address them as we can. Learn more about how you can help on our [Contribution Rules & Guidelines](</CONTRIBUTING.md>).
 
 You can reach out to us anytime with questions and suggestions using our communities below:
  - **Support questions:** [StackOverflow](<https://stackoverflow.com/questions/tagged/microsoft-cognitive>)
@@ -68,7 +68,7 @@ You can reach out to us anytime with questions and suggestions using our communi
 This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [[email protected]](mailto:[email protected]) with any additional questions or comments.
 
 ## Updates
-* 8/2016: Sample updated for [July 2016 Face API changes](https://www.microsoft.com/cognitive-services/en-us/face-api/documentation/overview#changes)
+* [Face API Release Notes](https://www.microsoft.com/cognitive-services/en-us/face-api/documentation/ReleaseNotes)
 
 ## License
 All Microsoft Cognitive Services SDKs and samples are licensed with the MIT License. For more details, see

cognitive_face/face.py

@@ -13,15 +13,16 @@ def detect(image, face_id=True, landmarks=False, attributes=''):
 
     Args:
         image: A URL or a file path or a file-like object represents an image.
-        face_id: Optional parameter. Return `face_id`s of the detected faces or
-            not. The default value is `True`.
-        landmarks: Optional parameter. Return face landmarks of the detected
-            faces or not. The default value is `False`.
-        attributes: Optional parameter. Analyze and return the one or more
-            specified face attributes in the comma-separated string like
-            `age,gender`. Supported face attributes include age, gender,
-            headPose, smile, facialHair, and glasses. Note that each face
-            attribute analysis has additional computational and time cost.
+        face_id: [Optional] Return faceIds of the detected faces or not. The
+            default value is true.
+        landmarks: [Optional] Return face landmarks of the detected faces or
+            not. The default value is false.
+        attributes: [Optional] Analyze and return the one or more specified
+            face attributes in the comma-separated string like
+            "returnFaceAttributes=age,gender". Supported face attributes
+            include age, gender, headPose, smile, facialHair, glasses and
+            emotion. Note that each face attribute analysis has additional
+            computational and time cost.
 
     Returns:
         An array of face entries ranked by face rectangle size in descending

sample/model/face.py

@@ -33,8 +33,19 @@ def __init__(self, res, path, size=util.MAX_THUMBNAIL_SIZE):
             attr = res['faceAttributes']
             self.age = int(attr['age'])
             self.gender = attr['gender']
+            self.head_pose = "Pitch: {}, Roll:{}, Yaw:{}".format(
+                attr['headPose']['pitch'],
+                attr['headPose']['roll'],
+                attr['headPose']['yaw']
+            )
             self.smile = float(attr['smile']) > 0 and 'Smile' or 'Not Smile'
+            self.facial_hair = sum(attr['facialHair'].values()) > 0 and 'Yes' \
+                or 'No'
             self.glasses = attr['glasses']
+            self.emotion = max(
+                attr['emotion'],
+                key=lambda key: attr['emotion'][key]
+            )
         self.bmp = util.scale_bitmap(self.bmp, size)
 
     def set_name(self, name):

sample/util.py

@@ -32,6 +32,7 @@
 )
 LOG_FACE_LIST_NOT_EXIST = 'Response: Face List {} does not exist before.'
 LOG_FACE_LIST_EXIST = 'Response: Face List {} exists.'
+LABEL_FACE = '{} years old, {}\n{}\n{}, {}\nFacial Hair: {}\nEmotion: {}\n'
 
 
 class SubscriptionKey(object):

sample/view/base.py

@@ -242,11 +242,14 @@ def OnDrawItem(self, dc, rect, index):
 
         textx = rect.x + 2 + face.bmp.GetWidth() + 2
         label_rect = wx.Rect(textx, rect.y, rect.width - textx, rect.height)
-        label = '{} years old\n{}\n{}\n{}\n'.format(
+        label = util.LABEL_FACE.format(
             face.age,
             face.gender,
+            face.head_pose,
             face.smile,
-            face.glasses
+            face.glasses,
+            face.facial_hair,
+            face.emotion
         )
         dc.DrawLabel(label, label_rect, wx.ALIGN_LEFT | wx.ALIGN_TOP)
 

sample/view/panel_detection.py

@@ -99,7 +99,7 @@ def async_detect(self, path):
         self.rsizer.Layout()
         self.vhsizer.Layout()
 
-        attributes = 'age,gender,smile,glasses'
+        attributes = 'age,gender,headPose,smile,facialHair,glasses,emotion'
         res = util.CF.face.detect(path, False, False, attributes)
         faces = [model.Face(face, path) for face in res]
         self.face_list.SetItems(faces)

setup.py

@@ -20,7 +20,7 @@ def readme():
 
 setup(
     name='cognitive_face',
-    version='1.2.1',
+    version='1.2.5',
     packages=find_packages(exclude=['tests']),
     install_requires=['requests'],
     author='Microsoft',