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February 22, 2017 11:32
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from clarifai import rest | |
from clarifai.rest import ClarifaiApp | |
from clarifai.rest import Image as ClImage | |
from PIL import Image as PilImage | |
CLARIFAI_APP_ID = "some_long_string" | |
CLARIFAI_APP_SECRET = "some_long_string" | |
##Grab the image | |
the_image = 'path/to/image.jpg' | |
smiley = '/path/to/overlay.jpg' | |
app = ClarifaiApp(CLARIFAI_APP_ID, CLARIFAI_APP_SECRET) | |
##face recognition model | |
model = app.models.get('a403429f2ddf4b49b307e318f00e528b') | |
image = ClImage(filename=the_image) | |
data = model.predict([image]) | |
##find the bounding box | |
box = data['outputs'][0]['data']['regions'][1]['region_info']['bounding_box'] | |
back = PilImage.open(the_image) | |
back_w, back_h = back.size | |
fore = PilImage.open(smiley) | |
smiley_width = (box['right_col'] - box['left_col']) * back_w | |
smiley_height = (box['bottom_row'] - box['top_row']) * back_h | |
maxsize = (smiley_width, smiley_height) | |
fore.thumbnail(maxsize, PilImage.ANTIALIAS) | |
#fore.save('temp.png') | |
#temp = PilImage.open('temp.png') | |
back.paste(fore, (round(box['left_col'] * back_w), round(box['top_row'] * back_h)), fore) | |
back.save('out.png') |
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