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Given n number of raw URLs, I'd like to be able to classify them by:
news, blog, photo and video.
An example would be if a link directs a user to a photo, would it be enough to say that the raw link contains file extension for images to be able to classify the raw URL as photo?
As for video, blog and news, it seems it isn't enough to have a set of domains (like http://www.youtube.com) that will classify the raw URLs.
Could classification be done by examining the web content? Or are there any open source tools for this?
The only URLs that may be even somewhat reliably classified, are those that point to a distinct medium (i.e. http://foo.com/foo.jpg is most certainly an image). Otherwise, you must analyze the content of the page.
This can be a bit tricky, as Flash may contain a photo, video, or neither, without providing any searchable clue as to the content of the flash object. With enough effort, this can obviously be overcome (Google does it!), but I'm not aware of any open source resources that provide a library of media-related domains. Such data result from countless programmer-hours of effort -- an effort that typically seeks a return on investment (ROI). Case in point, ClueWeb09 is just a dataset of downloaded pages, used to test search algorithms -- not really sorted or categorized.
"Sometimes no help is the answer."
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I am working on a project wherein I am supposed to detect human beings from a live video stream which I get from a UAV's camera module. I do not need to create any rectangles or boxes around detected subjects, but just need to reply with a yes or no. I am fairly new to Open-CV and have no prior experience.
What I have tried:
I started by training my SVM on HOG features. My team gathered a few images from a UAV we had, with people in it. I then trained the SVM from the crops of those people. We got unsatisfactory results when we used the trained detector on the a video from sky with people. Moreover processing each frame turned out to be very slow , therefore the system became unusable.(it did work on still images to some extent).
My question:
I wanted to know if there is some other technique, library etc I could try for achieving good results. Please point me to the next step.
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What I am looking to do is retrieving city statistics. Much like the CIA World Factbook. But, I want an API, database or dataset that I can query and get results. Also, I would actually PREFER to use a UIWebView and load a website with those statistics already searched and displayed. Like TheWeatherChannel for instance, I can form a URL with given coordinates. But websites like the CIA World Factbook have a unique two letter code for each country, which are not in a particular format.
Also, I would like to get CITY statistics, this would include:
Population
Crime Rate
Description
Languages Spoken
Transport Systems
Geography
and more! I even had an idea to show the type of plugs that country uses. But, I have no idea how and where to look for information like this.
Please help me out...
You're asking for very generic data sets and APIs, so you may want to being exploring http://en.wikipedia.org/wiki/Open_data, https://explore.data.gov/, and http://www.freebase.com/
A little late and it probably doesn't do city level but
http://data.worldbank.org/developers/data-catalog-api
could also be useful for someone looking for similar stuff and it wasn't mentioned (AFAICS) in the above answer's links.
This data also has a drupal module at
https://drupal.org/project/wbapi
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I am currently designing a low level network serialization protocol (in fact, a refinement of an existing protocol).
As the work progress, pen and paper documents start to show their limits: i have tons of papers, new and outdated merged together, etc... And i can't show anything to anyone since i describe the protocol using my own notation (a mix of flow chart & C structures).
I need a software that would help me to design a network protocol. I should be able to create structures, fields, their sizes, their layout, etc... and the software would generate some nice UMLish diagrams.
Sorry to say, everything I've seen so far (various serial protocols for embedded devices/networks) has used Word documents, with plain old tables showing allocations of fields to the bytes in the message. Alternatively, I've seen it done in Excel documents! It works, and people can read it.
Unfortunately, that's not helpful for automatic code generation, unless you have a very strict format in e.g. an Excel doc that you can then parse with a tool to generate some code. It would be good to have a notation that can be easily machine parsed, as well as human readable.
For showing message handshaking and sequences, a UML sequence diagram is good of course. There are lots of tools readily available to help you with that part of it.
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I have a client who is looking for a solution to integrate cctv with a (any) ANPR solution that can,I assume recognize the number plate of cars and store in a database and has the ability to post this data to other backoffice applications, crm, marketing app. etc.
Is there any ready software to do this ? Or your recommendations ?
Check out OpenALPR (http://www.openalpr.com). It is free and open source and is very fast and accurate. Given an image it will recognize all the license plates and give you the text of the characters.
Since it's open source and written in C++, you should be able to integrate this with your application fairly easily.
You can look at:
How to recognize vehicle license / number plate (ANPR) from an image?
There seems to be at least a few ANPR solutions. My advice is to be prepared to buy something if you want a reliable and fully integrated solution.
Avigilon currently has a License Plate Recognition Kit. It comes with either one or two lanes. The kit is the camera in a special housing along with a software package that captures the license plates and stores them in a database. You could then search for license plates or create a watch list for specific license plates. You can read more at www.Avigilon.com.
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I once found a slick looking car make/model dropdown menu web service that advertised form helpers for Ruby on Rails, have subsequently been unable to find this again by Googling for it.... Anybody know the service I am talking about?
Edmunds provides this data for free through an API. You just have to sign-up to get an API key.
See documentation here:
http://developer.edmunds.com/api-documentation/vehicle/
Sign-up to get a key here: http://developer.edmunds.com/index.html
One example of making the call (many more examples given on their site):
https://api.edmunds.com/api/vehicle/v2/makes?fmt=json&api_key={your API key}
I was looking for exactly this kind of information for motorcycles. From what I can tell the API does not provide motorcycle data, but it seems to have just about everything for cars - Make, Model, Year, Trim, Style, even Maintenance Schedules.
With the json or xml data, you will have to roll your own drop down menus. Edmunds does provide some premade widgets, but they are pretty specific (e.g. return True Market Value), so there is a good chance they won't have exactly what you need.
http://developer.edmunds.com/widgets_and_apps/index.html
It doesn't include form helpers or anything, but here's a Ruby implementation that uses the KBB database to retrieve make/model info:
http://tektastic.com/2008/03/car-or-auto-make-model-year-database.html
I'd probably cron this outside of the app and update the db from time to time, then use collection_select in the app to construct the dropdowns as normal. You could also adapt it to use ActiveResource for live retrieval, but that seems excessive and perhaps bannable by KBB.