In the current sprint, one of my tasks was to use openCV to successfully open my computer’s webcam and take a photo. This is done, so I have been looking into the next step, which is using webcam photos and the python face_recognition library as facial recognition login for our chat app. <\/p>\n\n\n\n
There are many tutorials for this task on the internet, and the two required libraries allow it all to be done without too many lines of code. Side note: I’ve looked at several of these tutorials, and they all use the same few public figures as examples for face recognition: Jeff Bezos, Elon Musk, Barack Obama, Joe Biden, etc. The lack of imagination is sad. Use someone unexpected! How about Steve Buscemi. <\/p>\n\n\n\n
One potential problem I encountered with the photos my webcam takes is the poor image quality. I’m using a new Mac for the first time after running Windows my whole life. I had been led to believe Macs are better at this kind of thing. My office is relatively well-lit but I guess I need to plug in my ring light. I need to write the code to actually analyze a face to see how big of a problem this is. <\/p>\n\n\n\n
Another problem: Looking over the face_recognition GitHub page, I noticed that it is technically *not* supported on Windows, only Linux and MacOS. There are work-arounds, which is somewhat comforting. I need to find out how that will affect our desktop app. I think (?) this means that any windows user who wants to use our app (including my group partner!) will have to follow somewhat complicated instructions to install the face_recognition library before being able to use the app. Or perhaps I’m totally wrong and there’s something about executable files that I don’t understand yet (since our app is a desktop app, we will have to turn in an executable). <\/p>\n\n\n\n
These potential pitfalls of adding facial recognition login to our project are par for the course and a normal part of software development. I will have plenty of time to figure out solutions if I move quickly to write my first draft of code. So off I go to do that…<\/p>\n","protected":false},"excerpt":{"rendered":"
In the current sprint, one of my tasks was to use openCV to successfully open my computer’s webcam and take a photo. This is done, so I have been looking into the next step, which is using webcam photos and the python face_recognition library as facial recognition login for our chat app. There are many […]<\/p>\n","protected":false},"author":12708,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-20","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/blogs.oregonstate.edu\/swartsm\/wp-json\/wp\/v2\/posts\/20","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.oregonstate.edu\/swartsm\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.oregonstate.edu\/swartsm\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.oregonstate.edu\/swartsm\/wp-json\/wp\/v2\/users\/12708"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.oregonstate.edu\/swartsm\/wp-json\/wp\/v2\/comments?post=20"}],"version-history":[{"count":2,"href":"https:\/\/blogs.oregonstate.edu\/swartsm\/wp-json\/wp\/v2\/posts\/20\/revisions"}],"predecessor-version":[{"id":22,"href":"https:\/\/blogs.oregonstate.edu\/swartsm\/wp-json\/wp\/v2\/posts\/20\/revisions\/22"}],"wp:attachment":[{"href":"https:\/\/blogs.oregonstate.edu\/swartsm\/wp-json\/wp\/v2\/media?parent=20"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.oregonstate.edu\/swartsm\/wp-json\/wp\/v2\/categories?post=20"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.oregonstate.edu\/swartsm\/wp-json\/wp\/v2\/tags?post=20"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}