Last active
July 10, 2018 21:22
-
-
Save JotaroS/ae3a56a91a16aa44635b1e02a7af67cd to your computer and use it in GitHub Desktop.
Microsoft emotion recognition api python code
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Calling Emotion APIs is | |
# restricted to 20 transactions per minute | |
# and 30,000 transactions per month. | |
# 20 transactions per 60 seconds | |
# 1 transaction per 3 seconds | |
# python ms_emotion.py tani.jpg | |
import httplib | |
import urllib | |
import base64 | |
import os | |
import sys | |
import cv2 | |
import numpy as np | |
import json | |
import math | |
def get_emotion(file_path, headers): | |
try: | |
conn = httplib.HTTPSConnection('api.projectoxford.ai') | |
conn.request("POST", "/emotion/v1.0/recognize?", | |
open(file_path, 'rb'), headers) | |
response = conn.getresponse() | |
data = response.read() | |
conn.close() | |
return data | |
except Exception as e: | |
print("[Errno {0}] {1}".format(e.errno, e.strerror)) | |
print(e.message) | |
def display_expression(data,img): | |
font = cv2.FONT_HERSHEY_PLAIN | |
font_size = 1 | |
data = json.loads(data) | |
for face in data: | |
f_rec = face['faceRectangle'] | |
width = f_rec['width'] | |
height = f_rec['height'] | |
left = f_rec['left'] | |
top = f_rec['top'] | |
f_rec = face['scores'] | |
f_rec = sorted(f_rec.items(), key=lambda x:x[1],reverse = True) | |
cv2.rectangle(img,(left,top),(left+width,top+height),(130,130,130),2) | |
cv2.rectangle(img,(left+width,top),(left+width+150,top+50),(130,130,130),-1) | |
for i in range(0,5): | |
val = round(f_rec[i][1],3) | |
emo = f_rec[i][0] | |
cv2.rectangle(img,(left+width,top+10*i),(left+width+int(val*150),top+10*(i+1)),(180,180,180),-1) | |
cv2.putText(img, emo+" "+str(val),(left+width,top+10*(i+1)),font, font_size,(255,255,255),1) | |
if __name__ == '__main__': | |
if len(sys.argv) != 2: | |
print 'Usage: # python %s /path/to/image' % sys.argv[0] | |
quit() | |
with open('api_key.txt', 'r') as f: | |
key = f.read().rstrip('\n') | |
f.close() | |
headers = { | |
'Content-Type': 'application/octet-stream', | |
'Ocp-Apim-Subscription-Key': key, | |
} | |
data = get_emotion(sys.argv[1], headers) | |
img = cv2.imread(sys.argv[1],-1) | |
display_expression(data,img) | |
cv2.imshow('image',img) | |
cv2.waitKey(0) | |
cv2.destroyAllWindows() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment