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I am looking for something in swift that can give me the travel time (by car) of two coordinates. On some other threads, I have only seen suggestions to use external sources, but my question is, does apple have a built in feature to do this? Similarily, if there is not can someone please link a few external sources, as I have not found it (probably because I don't know exactly what I am looking for?
Thanks a lot.
I don't know of any Swift API solutions. Google has a great solution though. Check out Google's Distance Matrix API. It lets you calculate travel time for two coordinates with al sorts of extra options.
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I need a dataset for my future project based on image processing, hand recognition. I need a minimum of 5 hand position and orientation and a minumim of 200 images per set.
I want to know if there are websites where I can find a great variety of datasets.
I recommend you to search here: http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm#gesture.
I needed this for a project too and I found a lot of variations here. It also depends on what kind of gestures you are looking for, but I think you will find here what you need.
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I have some program that I want to do face verification by previously stored people faces in app data, and use the device's camera to get the current person standing in front of it, to make the program log the user in.
I have found some code but I don't know how to use it, it uses OpenCVSharp.
Can anyone tell me how to do this verification in Xamarin Forms?
P.S:- I've found some resources that Aren't Free, such as EmguCV, I want something that is free.
You can use Azure Cognitive service
https://azure.microsoft.com/en-gb/services/cognitive-services/computer-vision/
It has a free tier(more than enough if you have less than 100 users I'd say) to use.
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What is some code I could use to retrieve geolocated images uploaded by users with GeoFire depending on the users location?
What would be the first steps to follow? Is actually GeoFire the best way to do this?
Thank you in advance.
Yes, GeoFire is the usual tool to achieve the goal you describe: store and retrieve information based on its position, asuming you are already familiar with Firebase and using it as your backend
The first steps to follow should be to read the Geoquery quickstart and try the examples you can find in their documentation: https://github.com/firebase/geofire-objc/tree/master/GeoFire
You can see a more complete example here (although it is in Objective-C):
https://github.com/firebase/geofire-objc/tree/master/examples/SFVehicles
Once you have tried the examples you will have an idea of how you can use GeoFire to achieve your goal.
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I need to extract text from articles online for an ios app I am developping. Is there something similar to goose that extracts just the article from the html for Swift?
It's very interesting subject. I'm not pretty sure, but it seems to be not an easy job to do. Recently Ivan Titov told about "Inducing Semantic Representations from Text with Little or No Supervision." You can see this presentation here: https://events.yandex.ru/lib/talks/2728/ (in English.)
So, our team recently took part in Swift-hackathon by CocoaHeads Moscow for this subject, but not very good result were earned. We developed recursive grabber and other cool things, but can't attain the goal. If you want to contribute to that project, look at this repo: https://github.com/CocoaHeadsMsk/hawking
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I have found OpenCV code that uses CvGaussBGStatModelParams structure, cvCreateGaussianBGModel, and other related functions. However, I haven't been able to find any explanations for how they work and how they are to be used and what they mean.
Any help would be appreciated.
These functions are undocumented (at least as far as the manual goes). However, if you look around in the source, you will find them in src/cvaux/cvbgfg_gaussmix.cpp. In there:
This is based on the "An Improved
Adaptive Background Mixture Model for
Real-time Tracking with Shadow
Detection" by P. KaewTraKulPong and R.
Bowden
http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/avbs01/avbs01.pdf
The windowing method is used, but not
the shadow detection. I make some of
my own modifications which make more
sense. There are some errors in some
of their equations.
That link is probably a good start for you.