mirror of
https://github.com/wassname/IndicoIo-python.git
synced 2026-06-27 16:10:34 +08:00
Chris Lee
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
import requests
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from indicoio.utils.image import image_preprocess
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from indicoio.utils.api import api_handler
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def facial_localization(image, cloud=None, batch=False, api_key=None, version=None, **kwargs):
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"""
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Given an image, returns a list of faces found within the image.
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For each face, we return a dictionary containing the upper left corner and lower right corner.
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If crop is True, the cropped face is included in the dictionary.
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Input should be in a numpy ndarray or a filename.
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Example usage:
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.. code-block:: python
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>>> from indicoio import facial_localization
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>>> import numpy as np
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>>> img = np.zeros([image of a face])
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>>> faces = facial_localization(img)
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>>> len(faces)
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1
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:param image: The image to be analyzed.
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:type image: filepath or ndarray
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:rtype: List of faces (dict) found.
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"""
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image = image_preprocess(image, batch=batch)
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url_params = {"batch": batch, "api_key": api_key, "version": version}
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return api_handler(image, cloud=cloud, api="faciallocalization", url_params=url_params, **kwargs)
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