How to adaptively adjust the contrast of an image in Python

A great man once said, “With great image quantities comes great blandness!” Well, maybe not that exactly. But we do need a method for jazzing up images efficiently and automatically, whether it’s for a photo app, website, etc. Enter: today’s API, which was created to adaptively change image contrast to make almost any image look more appealing.

Let’s start out by running this command for pip install.

pip install cloudmersive-image-api-client

Now that our API client is accessible, let’s use it to call edit_contrast_adaptive, as you see in this code block here:

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'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['Apikey'] = 'Bearer'
# create an instance of the API class
api_instance = cloudmersive_image_api_client.EditApi(cloudmersive_image_api_client.ApiClient(configuration))
gamma = 1.2 # float | Gamma value to adjust the contrast in the image.  Recommended value is 2.0.  Values between 0.0 and 1.0 will reduce contrast, while values above 1.0 will increase contrast.
image_file = '/path/to/file' # file | Image file to perform the operation on.  Common file formats such as PNG, JPEG are supported.
try:
# Adaptively adjust the contrast of the image to be more appealing and easy to see
api_response = api_instance.edit_contrast_adaptive(gamma, image_file)
pprint(api_response)
except ApiException as e:
print("Exception when calling EditApi->edit_contrast_adaptive: %s\n" % e)

This will require an image file, of course, as well as a gamma value, which you can experiment with for the desired effect. And there you have it, our complete setup for adaptive contrast!