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