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I've got a pet project for which I need graphics of the outlines of certain countries (mostly European countries). I want to dynamically generate country graphics like the image below. Prefferably in a combination of JavaScript, HTML and CSS. I've been Googling for a bit and found: http://www.dafont.com/geobats.font.
It is near perfect, the sad thing is that there are missing a few countries. I have no clue how to edit TTF files so I'm not able to update it myself. I also lack the Photoshop skills to create the images I need by hand. So I was hoping you guys could help me out. Is there a site where I can get SVG's* of several countries of a TTF file such as geobats only with more (European) countries? Thanks in advance.
*In the case of SVG's I'd prefer cutouts over outlines.
Update 1: I've included an image to show which kind of graphics I'm trying to make.
Mike Bostock is a map geek and has a separate project from d3, topojson with all kinds of sampling and projection features. This may be too much for your project, but he also has a blog post that talks about finding data while he demonstrates the topojson capabilities. The link is:
http://bost.ocks.org/mike/map/#finding-data
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Is there any open source project or free avaliable source where I can query a webpage's category type (like https://www.trustedsource.org/en/feedback/url). I have more than 200K webpage in my dataset.
To me it looks like more of a classification problem which is suitable for Machine Learning. For this purpose you can make your model in popular ML frameworks (such as Keras/TensorFlow and PyTorch) or search for available ones on internet and use your dataset to do a transfer learning.
I could find a project on GitHub (link) that can be a good starting point.
Hi today and happy weekend!
that's interesting to know if a category is used as category pages, since google shows up multiple spots of one domain when it has category pages.
Examples:
danlok(com)
best example to see: bloomberg....
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I want to determine which part of audio file contain speech or music.
I hope someone has a made something like this or can tell me where to start.
Can you please suggest some method/tutorial for doing the same.
Thank you.
Check out the pyAudioAnalysis python library. Among others, it has a pre-trained speech-music classifier and two segmentation-classification methods (one based on fix-sized windows and another based on HMMs).
You can extract speech and music parts of an audio recording quite easily, e.g.:
from pyAudioAnalysis import audioSegmentation as aS
[flagsInd, classesAll, acc] = aS.mtFileClassification("data/scottish.wav", "data/svmSM", "svm", True, 'data/scottish.segments')
with a result as the one in this image
There's lots of prior art in this area, but I'd suggest browsing through some of Dan Ellis's papers. The slides for this talk has some good background. In short it's all down to picking the right feature vectors.
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I am doing a project in news classification. Basically the system will classifying news articles based on the pre-defined topic (e.g. sports, politic, international). To build the system, I need free data sets for training the system.
So far, after few hours googling and links from here the only suitable data sets I could find is this. While this will hopefully enough, I think I will try to find more.
Note that the data sets I want:
Contains full news articles, not just title
Is in English
In .txt format,not XML or db
Can anybody help me?
Have you tried to use Reuters21578? It is the most common dataset for text classification. It is formated in SGML, but it is quite simple to parse and transform to a txt format.
You can build it, you can write a Python/Perl/PHP script where you run a search, then when you find the answers you can isolate the attributes with regex... I think is the best option. Is not easy but should be fun, finally you can share this dataset with us.
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I would like to ask you to recommend me a C/C++ library to capture video.
I am getting frames from a camera at 16 bits per pixel (RGB), and I would like to save those frames in a video format in an efficient way to be able to look at it in the future.
Would you please recommend me a good C/C++ library that I can use under Linux please?
A Google search gives me a lot of libraries, and I am really not sure which one does a good job and is widely used. I would greatly appreciate your help.
Thank you very much.
As far as I know -- the predominat library is Video4Linux -- however I have not tried it myself, but the list of applications using/supporting it is impressive.
Addition:
For Multi media Encoding GStreamer is probably one of the most used frameworks.
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I've noticed that the wiki transcriptions for some of the recent Stack Overflow Podcasts are kind of weak. Clearly, this task calls for a computer program. Is transcribing audio to text (ideally with speaker labels so we know who said what) something that could feasibly be accomplished in software? Are there any active open-source software projects attempting to implement such functionality?
Believe me, I have searched for this before. There are slim to none text to speech that are open source or free to use. From my search there weren't any free speech to text synthesizers. These things are so hard to code and expensive that they can't really be made with an open source approach. If you really need this you would have to purchase it from a company. (although I don't know any off the top of my head).
I've looked into this a little. I tried the Microsoft Speech API but got very poor results. I've been wanting to look into the CMU Sphinx project, especially the Transcriber demo.