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Our OneTD strategy weaves to one another such best capabilities to carry a beneficial complete collection off approaches to meet our customers’ requires

Our OneTD strategy weaves to one another such best capabilities to carry a beneficial complete collection off approaches to meet our customers’ requires

Inside the Summer, i stored a trader Day in regards to our Canadian retail enterprises and you may laid out the actions who does allow us to graph all of our 2nd phase off progress. And as you only heard, we’re while making a beneficial improvements.

Regarding the You.S., TD Financial, America’s Handiest Lender, continued to grow and you will submit into the our goals as we navigated a difficult performing ecosystem.

We generated the difficult choice so you’re able to cancel our agreement to track down Earliest Horizon. It was just the right choice on the Lender, and then we moved rapidly to a target strengthening money for hard times.

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Probably their relationships wasn’t that strong anyway, but this story struck my mind with a couple of thoughts

Probably their relationships wasn’t that strong anyway, but this story struck my mind with a couple of thoughts

One day I was drinking coffee with my friend and he told me a story of how he got in trouble with his girlfriend because she found his old profile on a popular dating site match. Allegedly someone from their common friends bumped into it and sent her a friendly notification. He was unable to prove her that it’s just an old thing’ that he forgot to delete and their story ended there they broke up hot girls from Marin in Spain pretty fast after this incident. What are the odds of bumping into a profile of someone you know on a dating website and how easily such privacy could be violated if someone had a direct intention?

I remembered that there were some open-source face detection and recognition libraries available and thought that it’s probably possible to write a tool that would crawl photos on dating sites and try to recognize a particular person on them. Then I ran into face a platform that provides a RESTful API for detecting, tagging and recognizing faces on the pictures. I recalled that story again, told to my friends, we all laughed, agreed that such a tool would be creepy, but I did put it in my list of ideas for hacking.

So, guess what, let’s go creepy and run a small experiment to see how easy that would be. To do that we’ll write a tool that will take tagged photos of a Facebook user and try to find his/her profile on match.

  • How send authorized search requests to match
  • How to get URLs of profile images
  • How to make parsing fast by running requests asynchronously
  • How to use face API

Sending authorized requests

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To get profile pictures we need a search output. If you go to match you’ll figure that it doesn’t allow you to browse search results without registration. So the very first step would be to create an account on match. After that go to the search form, choose the parameters, like sex, age and a zipcode and click Search now.

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