Worried about online copyright infringement? If so, utilizing perceptual image hashing functions may help solve that problem. The hashing functions extract certain features from an image and calculate a hash value based on these features; this can assist in image authentication by comparing the hash value of an original image with the image under scrutiny. Automation of the hash value generation will save you a good deal of time, and the following API can be used in Python to do just that.
Our first step is to run this command to install the client:
pip install cloudmersive-image-api-client
Next, we will call the function with the following code:
from __future__ import print_function
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'# create an instance of the API class
api_instance = cloudmersive_image_api_client.RecognizeApi(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.
recognition_mode = 'recognition_mode_example' # str | Optional, specify the recognition mode; possible values are Normal, Basic and Advanced. Default is Normal. (optional)try:
# Generate a perceptual image hash
api_response = api_instance.recognize_similarity_hash(image_file, recognition_mode=recognition_mode)
except ApiException as e:
print("Exception when calling RecognizeApi->recognize_similarity_hash: %s\n" % e)
And we’re done! If you don’t have already have an API key, you can retrieve one by registering for a free account on the Cloudmersive website; this will give you access to 800 monthly calls across our library of APIs.