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https://github.com/wassname/IndicoIo-python.git
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Alec
35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
import json
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import requests
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import numpy as np
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from indicoio import JSON_HEADERS
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def facial_features(image):
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"""
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Given an grayscale input image of a face, returns a 48 dimensional feature vector explaining that face.
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Useful as a form of feature engineering for face oriented tasks.
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Input should be in a list of list format, resizing will be attempted internally but for best
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performance, images should be already sized at 48x48 pixels.
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Example usage:
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.. code-block:: python
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>>> from indicoio import facial_features
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>>> import numpy as np
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>>> face = np.zeros((48,48)).tolist()
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>>> features = facial_features(face)
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>>> len(features)
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48
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:param image: The image to be analyzed.
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:type image: list of lists
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:rtype: List containing feature responses
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"""
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data_dict = json.dumps({"face": image})
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response = requests.post("http://api.indico.io/facialfeatures", data=data_dict, headers=JSON_HEADERS)
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response_dict = json.loads(response.content)
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return response_dict['response']
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