How to unpack detect_with_stream

[kalaschnik]

How can I print the contents of my response from detect_with_stream, in this case the emotion attribute?

detected_faces_details = face_client.face.detect_with_stream(
  open((os.path.join("img/test-faces.jpg")),'r+b'),
  return_face_attributes=['emotion'])

detected_faces_details is only printing my two faces in test-faces.jpg in this manner:

[<azure.cognitiveservices.vision.face.models._models_py3.DetectedFace at 0x1e20ec06648>,
 <azure.cognitiveservices.vision.face.models._models_py3.DetectedFace at 0x1e20ec063c8>]

[kristapratico]

Hi @kalaschnik

detect_with_stream is returning a list of DetectedFace objects. Here is documentation that shows what a DetectedFace looks like.

If you want to print the emotion attribute for each face you can do this:

for face in detected_faces_details:
    print(face.face_attributes.emotion.anger)  # printing confidence value for anger, for example

Here are the available attributes found on the emotion object.

Let me know if this helps or if I misunderstood your question.

[kalaschnik]

Hey @kristapratico

thank you for the syntax example, I was desperately looking for it 🙂
I was also not aware of this particular documentation site. I was digging through the docs here and here without finding examples for my case.

Anyway, the docs you posted look more fun to read than the others, although it lacks examples (like the one you give to me)—maybe it would be good add some examples?

Thanks!