How to detect and highlight the edges of an image in Python

Image highlighting, a great feature. But how are we going to work it into our project without wasting hours trying to set it up from scratch? Let’s shave off some time through judicious use of an API.

We shall start with our client installation, making use of pip install.

pip install cloudmersive-image-api-client

Now we just need a little block of code that will call our API function filter_edge_detect:

from __future__ import print_functionimport timeimport cloudmersive_image_api_clientfrom import ApiExceptionfrom pprint import pprint# Configure API key authorization: Apikeyconfiguration = 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 classapi_instance = cloudmersive_image_api_client.FilterApi(cloudmersive_image_api_client.ApiClient(configuration))radius = 56 # int | Radius in pixels of the edge detection operation; a larger radius will produce a greater effectimage_file = '/path/to/file' # file | Image file to perform the operation on.  Common file formats such as PNG, JPEG are supported.try:# Detect and highlight edges in an imageapi_response = api_instance.filter_edge_detect(radius, image_file)pprint(api_response)except ApiException as e:print("Exception when calling FilterApi->filter_edge_detect: %s\n" % e)

Voila! We are ready to try it! So let’s input our image file, specify the radius of our edge highlight, and set it working. After a short delay we will get a response back from the API with our highlighted image. Super easy.

Image for post

There’s an API for that. Cloudmersive is a leader in Highly Scalable Cloud APIs.

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