Last active
May 20, 2016 02:26
-
-
Save tcw165/d4387f5f549c3a0d65f8816ae3bb44fa to your computer and use it in GitHub Desktop.
This file contains hidden or 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
#!/usr/bin/env python | |
import httplib, urllib | |
import argparse | |
import json | |
import os | |
def analyseImages(fileStream): | |
""" | |
:param fileStream: the 'file' array. | |
:return: the JSON object. | |
""" | |
# Request headers | |
headers = { | |
'Content-Type': 'application/octet-stream', | |
'Ocp-Apim-Subscription-Key': os.environ.get('BING_VISION_API_KEY'), | |
} | |
# Request parameters | |
params = urllib.urlencode({ | |
'visualFeatures': 'Categories,Tags,Description,Faces,Color', | |
'details': 'Celebrities', | |
}) | |
# Analyse the photo. | |
data = None | |
try: | |
conn = httplib.HTTPSConnection('api.projectoxford.ai') | |
conn.request("POST", "/vision/v1.0/analyze?%s" % params, | |
fileStream, | |
headers) | |
response = conn.getresponse() | |
data = response.read() | |
conn.close() | |
except Exception as e: | |
print("[Errno {0}] {1}".format(e.errno, e.strerror)) | |
finally: | |
return data | |
# ///////////////////////////////////////////////////////////////////////////// | |
# Plain Codes ///////////////////////////////////////////////////////////////// | |
# Parse arguments. | |
argParser = argparse.ArgumentParser(description='Microsoft Vision APIs.') | |
argParser.add_argument('files', | |
metavar='FILENAME', | |
type=argparse.FileType('r'), | |
nargs='+', | |
help='The photo files.') | |
args = argParser.parse_args() | |
# Bing Keys. | |
BING_VISION_API_KEY = os.environ.get('BING_VISION_API_KEY') | |
BING_FACE_API_KEY = os.environ.get('BING_FACE_API_KEY') | |
BING_EMOTION_API_KEY = os.environ.get('BING_EMOTION_API_KEY') | |
# Extract files. | |
files = args.files | |
for f in files: | |
d = json.loads(analyseImages(f)) | |
print "" | |
print "%s ==>" % f.name | |
print json.dumps(d, | |
separators=(',', ':'), | |
indent=4, | |
sort_keys=True) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment