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Do you know any tools available for the conversion of LAS (LIDAR data) into Voronoi diagrams or TIN (triangular irregular networks) available?
Or can anyone can suggest how to do it in arcgis?
LIDAR data processing with open source tools
This may help a bit. In ArcGIS, you can either use an actual TIN which is a file format, or you can use a Terrain which is better suited for high density point clouds such as LIDAR. It offers better performance over a TIN.
The Terrain can be used where you need a TIN.
Loading surface feature data points into a geodatabase
Instead of the ASCII tool shown in the above guide, you will need to use the LAS to Multiple tool.
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I exported the roads network from OpenStreetMap. I took ways, their corresponding nodes and plotted them:
I would like to have this graph simplified, here is my desired output (yellow ellipses are nodes and green lines are edges):
I didn't manage to find a tool (or option) that "makes network smoother"? Of course, an option would be to program the solution by myself, but before doing that I would like to know if I am not trying to re-invent the wheel.
Does anyone know if there is an easy option to obtain that?
If you are willing to use Java (or another JVM-based language) there is a tool called Atlas which has an option called BigNode which does mostly what you need.
Once you export your OSM data to the Atlas format, you can invoke all the BigNodes in that Atlas and it will group all the nodes at similar intersections for you and provide navigable in/out paths through each.
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I'm very new to NLP and Deep Learning field and want to understand that after vectorization of a whole corpus using Word2Vec, Do I need to store the word vector values locally?
If yes I want to make a chatbot for android. Can anyone please guide me for this?
word2vec embeddings can be saved:
in first layers of your deep model. It's rare approach, because in this case you can't use this word2vec for other tasks.
as independent file on disk. It's more viable apporach for most use cases.
I'd suggest to use gensim framework for training of word2vec. Here you can learn more how to train word2vec and save them to disk: https://radimrehurek.com/gensim/models/word2vec.html
Particularly, saving is performed via:
model = Word2Vec(common_texts, size=100, window=5, min_count=1, workers=4)
model.save("word2vec.model")
Training of chatbot is much more difficult problem. I can try to suggest you a possible workflow, but you should to clarify what type of chatbot do you have in mind? E.g. should it answer on any question (open domain)? Should it generate answers or it will have predefined answers only?
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I am slowly starting to build myself a small game engine using openGL and C++ and I thought it would be kinda nice to make it open source for the time being, problem is that I may want to eventually market it once I add in more unique or detailed features. I know most licenses for open source software state that future versions must also be open source, but given that it would be my program, would I be allowed to eventually stop making it open source?
Depend on the Open Source License you use and the way you set up your project. You could use the BSD/MIT licence and then you don't have the viral problem of the GPL/LGPL (but not the advantages either). You can also leave your main engine Open & Free and just sell your unique features.
There is many ways!
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Does anyone have any ideas on measuring the popularity of an open source project? I thought it would be interesting to create a tools which would compare the popularity of similar open source projects.
The first metric that came to mind was to compare the number of Google results for each specific software, but it seems difficult to programmatically obtain this number (other than scraping it from the direct search page - this also runs into legal issues with Google I believe).
Any other metric ideas? I'd like the end product to be a tool, so metrics which are able to be accessed through code would be preferred.
Thanks,
Chris
If the projects are hosted by platforms like Sourceforge or Github, you can access the number of downloads...
SourceForge offer download statistics;
http://sourceforge.net/project/stats/detail.php?group_id=263007&ugn=dvwa&mode=week&type=prdownload
Google Code have activity ratings.
Maybe you could use those?
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I'm trying create my own carbon footprint calculator, but I'm having trouble finding all the proper equations and such online, anyone know of any decent resources?
Wow, that is a huge question. In part because "all the proper equations" really depend on who is doing the asking. I would start here: http://www.withouthotair.com/
This resource is HUGE for this. =)
I think this project sounds very interesting!
If you are familiar with web development, it would be very cool to make this a web-based project, which allows for constant growth and development of the equations. You could even make it so that users of your web site can view the equations you are using, and input their own equations. Maybe you could even consider some sort of mechanism to fold back user equations into the base - or set up multiple different bases for different users of different lifestyles.
I didn't directly answer your question, but I hope these concepts are interesting and useful to you.
-Brian J. Stinar-