Did you ever find yourself in the situation of going through hundreds, maybe even thousands of images, only to realize that some actually look a bit “too similar”? Could they be duplicates? Then you probably checked both image resolutions, to then delete the one having the lowest.
I have found myself in this scenario quite a few times. It’s painful, time consuming and tiring. Especially, as mentioned above, if you have to go through thousands of images. …
Amazon Web Services (AWS) S3 is one of the most used cloud storage platforms worldwide. The free tier includes 5 GB of standard storage, 20,000 get requests and 2,000 put requests for 12 months, which makes it suitable for various small to medium-sized projects running over a relatively short period of time. Some projects may require the frequent collection of data which needs to be stored in the cloud, and instead of managing these files manually we can make use of programmability to automate their management.
Cisco Meraki is characterized by making the setup, provisioning and overall management of your network remarkably easy. In addition to its user-friendly and intuitive cloud management dashboard, Meraki provides a set of APIs so that you can make use of additional solutions and pre-built integrations, but also build your own features and automation workflows.
Apart from classic network management APIs, Meraki provides the camera Snapshot API which enables users to remotely take snapshots with the cameras in their network.
In this article I will demonstrate how to use the Meraki Snapshot API with Python.
User clustering and computation of similarities has increasingly gained relevance within today’s industries. Customers are asked to give ratings on f. e. specific products, which are then compared to other customers’ ratings in order to find similarities among them.
Most user clustering applications make use of scaled ratings, f. e. 0–5 stars, or rating scales of 1–10 like on IMDB. In these cases, we can easily apply measures like Euclidean Distance or Cosine Similarity to find how similar/different the user’s choices are. What if we don’t have such ratings and we are dealing with binary data?
Associate Systems Engineer @Cisco Systems. Passionate about Data Science & Programmability with Python.