Crop Image to Face with Square Crop in Python

The best photos of us are often overwhelmed by our surroundings when the photo was taken. Especially given the frequency with which we use headshot photographs for profile/identification purposes, it’s really useful to be able to reduce any given photo to a smaller headshot of our face (or the faces of others). With the /image/face/crop/first iteration of the Cloudmersive Image API, you can accomplish this cropping in a few simple steps. Let’s walk through using this API in Python.

You can begin by running the Python installation SDK:

pip install cloudmersive-image-api-client

After that, you can kickoff the callback function & authenticate your Cloudmersive API key for access:

from __future__ import print_function
import time
import cloudmersive_image_api_client
from cloudmersive_image_api_client.rest import ApiException
from pprint import pprint
# Configure API key authorization: Apikey
configuration = cloudmersive_image_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'

Finally, use the below code to wrap up the callback function, and you’re ready to start cropping:

# create an instance of the API class
api_instance = cloudmersive_image_api_client.FaceApi(cloudmersive_image_api_client.ApiClient(configuration))
image_file = '/path/to/inputfile' # file | Image file to perform the operation on.  Common file formats such as PNG, JPEG are supported.
try:
    # Crop image to face with square crop
    api_response = api_instance.face_crop_first(image_file)
    pprint(api_response)
except ApiException as e:
    print("Exception when calling FaceApi->face_crop_first: %s\n" % e)