emotion_detect.py

# Import the Face API SDK
import cognitive_face as Face_API
import requests
from io import BytesIO
from PIL import Image, ImageDraw, ImageFont

# Set the key which are you generated in the Azure service in the previous steps
Face_API.Key.set("INSERT_YOUR_KEY_HERE")

# Set the service url which defined in the Azure service.
# Because we created the service in the "West Central US" region the link
# will be the next "https://westcentralus.api.cognitive.microsoft.com/face/v1.0"
# Your correct url you can find in the section two http://joxi.ru/ZrJNPlkSwngkJr.png
Face_API.BaseUrl.set("https://westcentralus.api.cognitive.microsoft.com/face/v1.0")

# Sending the image to the Face API.
# The image can be the URL, file path or a file-like object represents an image.
# The attributes must be the comma-separated string like "age,emotion".
# Supported face attributes include age, gender, headPose, smile, facialHair,
# glasses, emotion, makeup, accessories, occlusion, blur, exposure, noise.
img_url = "http://joxi.ru/BA0MXPGSMpzY1r.png"
response = Face_API.face.detect(image=img_url, attributes="emotion")
# Printing the response.
print(response)

# Get the best mutch emotion and convert
# to the string like "emotion_name: score".
def get_best_emotion(resp):
    emotions = resp["faceAttributes"]["emotion"]
    b_key, b_value = "", 0
    for key, value in emotions.items():
        if value > b_value:
            b_key, b_value = key, value
    return b_key + ": " + str(b_value)


# Get the face area from the response "faceRectangle".
def get_face_box(resp):
    values = resp["faceRectangle"]
    left = values["left"]
    top = values["top"]
    bottom = left + values["height"]
    right = top + values["width"]
    return ((left, top), (bottom, right))


# Download the image by the url
image_data = requests.get(img_url)
# Opens and identifies the given image file.
image = Image.open(BytesIO(image_data.content))

# Creates an object that can be used to draw in the given image.
draw = ImageDraw.Draw(image)
# Load a TrueType or OpenType font from a file or file-like object,
# and create a font object.
fnt = ImageFont.truetype("Ubuntu-B.ttf", size=13)
# Iterate through all responses and draw box and text.
for resp in response:
    # Get the best emotion.
    emotion = get_best_emotion(resp)
    # Get the face box.
    face_box = get_face_box(resp)
    # Draw the text on the image.
    draw.text((face_box[0][0], face_box[0][1] - 12), emotion, fill="purple", font=fnt)
    # Draw box on the image
    draw.rectangle(face_box, outline="purple")


# Now you can display the final image.
image.show()
# Or save it.
image.save("output.png", "PNG")