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celebrity_test.py
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celebrity_test.py
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import json
import sys
import os
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
app = ClarifaiApp(api_key='yourKeyHere')
# image Name + 1024 vector numbers
vectIm = open('/Users/almas/Documents/Research/demos/clarify/vectors.txt', 'w')
# imName + identified or not
summIm = open('/Users/almas/Documents/Research/demos/clarify/idenfied.txt', 'w')
def clarifyFunc(files):
model = app.models.get("d02b4508df58432fbb84e800597b8959")
image = ClImage(file_obj=open(files, 'rb'))
response = model.predict([image])
boo = 'no_face'
res = []
# print json.dumps(response, indent=4)
if response['outputs'][0]['data']:
res = response['outputs'][0]['data']['regions'][0]['data']['embeddings'][0]['vector']
boo = 'no_face'
print str(res)
if res:
boo = 'face'
return str(res), boo
return res, boo
inputDir = 'pathToFolder'
def epIterate():
for files in os.listdir(inputDir):
if 'DS_Store' in files:
continue
else:
fName = inputDir + files
clarOut, boo = clarifyFunc(fName)
vectIm.write(fName + ' : ' + str(clarOut))
summIm.write(fName + ' : ' + str(boo))
print files + ' : ' + str(boo) + ' _____ ' + str(clarOut)
epIterate()