Computer Vision
In Code Like A Girl. More on Medium.
In Part 2, I analyzed a single image that was stored on my local laptop. Great! I had the program working for a single image, but I needed to analyze a large number of these images. So here we go!
In this tutorial, we’ll work through some planning, new imports from the Python standard library, write some python functions and store the results from the MCS Face API.
Hopefully you’ve played with the api in part 2 more thoroughly than I did! By the end of that tutorial, I passed a binary of a jpeg file to the MCS Face…
Microsoft Cognitive Services (MCS) offers one of the easier to use face detection api (application program interface) endpoints. No need to install complex libraries (take that Xcode!) or to mess with your path files. MCS Face API returns a detailed JSON file with information about face detection, bounding box coordinates, age, gender and more! At Kiva.org, we experimented with its use to help us answer the question if our lender community preferred pictures of borrowers who smile in their photo.
This tutorial is for a beginner to experiment with their own face detection projects. This tutorial assumes you — dear…
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