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Face recognition using OpenCV-SeventhSense SOTA model
OpenCV recently released a Face recognition SDK in collaboration with seventh sense. It is top 10 model on NIST Face Recognition Challenge (March 2022) , blazingly fast with no GPU required.
https://pages.nist.gov/frvt/reportcards/11/seventhsense_001.html
In the opencv-seventhsense FR webapp you can create a collection and aggregate Persons in your organization into groups. Each person added to the collection has properties like name, date-of-birth, nationality, gender which can be used to identify the person.
Below is the link to the webapp and snapshot of the UI.
Python and C++ SDK is available to post image object to the API and retrieve the detection response on a given image.
Below code snippets enable you to add persona to a collection and retrieve the detection response on a given test image.
I used an old image of myself to see if the model is able to detect my face accurately.
Import the image to FR Webapp
