I am looking for a java library to create 3d-geometries and then convert that to .stl files so I can 3d print my object using a 3d printer.
I can imagine using a 3d-graphics object where one can draw the same like on a graphics2d object:
Buffered3DObject obj = new Buffered3DObject(200,200,200, Unit.MM);
Graphics3D g3 = obj.getGraphics();
Stroke3d stroke = new Stroke(3);
g3.setStroke(stroke);
g3.drawpipe(x1,y1,z1,x2,y2,z2);
obj.exportToSTL("filename.stl");
Ok, I am just making up code :). But something like this.
Anybody know how I could pull something like this off? Any opensource libs that does stuff like this?
Would be nice to be able to generate a customized object through user input from a website.
Rob.
Edit:
Even though the question is closed (and nobody cared to answer my question on why) I found my answer (I post it so others with the same question can find it):
There is a java library on its way as a wrapper around OpenScad. The java wrapper is called JavaScad. Can be found here JavaScad
There is a java library which works as a wrapper around OpenScad. The java wrapper is called JavaScad. Can be found here JavaScad. It works fine and I actually contributed to the library already.
JCSG - Java implementation of BSP based CSG (Constructive Solid Geometry)
jsolid - wrapper around JCSG providing fluent API
Another option is: abfab3d.com This is opensourced code from Shapeways. Its is more complex and uses voxels as a base, but can convert to mesh aswell.
The code is at github: abfab3d # github
I have not tried it, but will as the openscad route is slow and difficult to integrate in a webserver, so I will try it once I have time.
Related
I have made a machine learning model in Python using scikit-learn. I used sklearn2pmml to serialize it so I can use it in my Java webapplication. I use the pmml4s library in Java to deserialize the model.
I used the model to predict the same values in Python and Java.
The Python results are on the left, the Java results on the right.
The incorrectly predicted values are circled in blue.
As you can see the model only makes a single mistake in Python, but makes 4 in Java.
All I do in python is train my model like usual and call this code to serialize it:
sklearn2pmml(pipeline, "DecisionTree.pmml", with_repr = True)
In Java I deserialize the algorithm using:
Model model = Model.fromFile("src\\main\\resources\\DecisionTree.pmml");
Can anyone explain the loss of accuracy based on this?
If you doubt about the results of the library, you could open an issue in the github: https://github.com/autodeployai/pmml4s/issues. The project maintainers will help you to look into your issue.
I'm a decent C++ programmer, good enough to do what I want. But I'm working on my first Android App (obviously not C++ related), and I'm having an issue where I'd like to translate what I know from C++ over to the XML/Java used in Android Studio.
Basically I have (in C++) an array of structures. And maybe I didn't do the perfect search, but I sure as heck tried to look around for the answer, but I didn't come up with anything.
How would I go about placing an array of structures inside the XML file and utilizing it in Java?
As a bit of a buffer, let me say that I'm not really looking for code, just verification that this is possible, and a method on how to go about it. I don't mind researching to learn what I want, but I haven't come up with anything. Like I said, I probably haven't googled it properly because I'm unsure of exactly how to ask it.
EDIT: So it appears that XML doesn't have a structure (or anything similar? not sure). But I can utilize a Java class with public variables. Now my question is more or less: What would be the best way to go about inserting all the information into the array/class/variables?
In C++ terms, I could neatly place all the info into a text file and then read from it, using a FOR loop to place all the info in the structures. Or, if I don't want to use an outside source/file, I could hardcode the information into each variable. Tedious, but it'd work. I'm not sure, in Android terms, if I could use the same method and pack in a text file with the app, and read from the file using a FOR loop to insert the information into the array/class/variables
class answerStruct
{
public String a;
public boolean status;
};
class questionStruct
{
public String q;
answerStruct[] answer = new answerStruct[4];
};
I'm not placing this here to brag at my super high tech program, but to give a visual, and frankly that's less I have to write out. This is the method I plan on going with. But, being Java, I'm open to possibly better options. My question still stands as far as inputting information into the variables. Hard code? or does Android/Java allow me to place a text file with my app, and read from it into the variables?
XML is just a markup language for tree-structured data, and imposes no restrictions on how you name or structure your tree nodes.
What I think that you're looking for is an XML Object Serialiser: a way to serialise your in-memory structure into XML for a more permanent storage, and then at a later run, deserialise it back into memory. There are many XML Serialisers for Java, each with an own proprietary XML format.
I've used Simple XML in the past, and found it easy and flexible.
Scenario
I'm working with a Java model built from scratch in Eclipse. What's important in this model is that we save our output to MATLAB (.mat) files. I constantly add new features, which require new fields that in turn will have to be exported to the .mat file at every iteration. Upon restarting a crashed simulation, I might have to import the .mat file. To export or import my .mat file I use JMatIO.
For example, if I would add a new field rho_m (a simple double) to my class CModel, I have to add to my Save() method:
mlModel.setField("rho_m", new MLDouble(null, new double[] {rho_m}, 1));
And to my Load() method:
rho_m = ((MLDouble)mlModel.getField("rho_m")).getReal(0);
Note that even though rho_m is a double, it needs to be treated as a double[] in JMatIO. This probably has something to do with MATLAB being orientated towards matrices and matrix operations.
Problem
Instead of doing this manually (prone to errors, annoying to maintain) I would like to automate this procedure. Ideally, I would like my IDE to detect all the fields in CModel and write the code based on the field's name and type. Is there any way to do this in Java/Eclipse?
Ideas so far
I have no formal training in low-level programming languages (yes, Java is low-level to me) and am still relatively new to Java. I do have some experience with MATLAB. In MATLAB I think I could use eval() and fieldnames() in a for loop to do what I mentioned. My last resort is to copy-paste the Java code to MATLAB and from there generate the code using a huge, ugly script. Every time I want to make changes to the model I'd rerun the MATLAB script.
Besides that idea I've found terms like UML, but do not have the background knowledge to figure out if this is what I'm looking for or not.
Any help, even if it's just a small push in the right direction, is greatly appreciated. Let me know if I need to further clarify anything.
Looking at your scenario, you are doing model-driven code generation, that is, you have a model and want to get some code generated according to your current model. Therefore, you need a model-driven code generator.
I lead the ABSE/AtomWeaver project, so I'll outline what you can do to get what you want using AtomWeaver (There are however other solutions like MetaEdit+, XText or Eclipse's own GMT/EMF sub-system).
AtomWeaver is an IDE where you can build a model and generate code from that model. You can change your model as many times you want and hit the "Generate" button to get an updated version of your code. ABSE is the name of the modeling method.
We don't need to go into details, but essentially ABSE follows a "building-block" approach. You create a Template that represents a feature or concept of your model. Then, you can associate a mini-code generator just to that concept. You can then "instantiate" and combine those building blocks to quickly build your models. Variables increase the flexibility of your models.
You can also change your models, or add new features ("blocks") and generate again. The generators are built using the Lua programming language, a very simple language with C-Like syntax.
The best way to understand the ABSE development method and the AtomWeaver IDE is to download the IDE and see the samples or try the tutorials. And yes, you can use AtomWeaver for free.
So I'm reading up on delta encoding, and I was looking around for some good examples of it. I think Google Chrome uses something like that for patch updates, rsync might, and the Wikipedia article implies that alot of online backup tools use this.
I'm curious if there are any good Java libraries out there that do this kind of work? There seem to be an abundance of *nix and C-based tools, but little or no Java equivalents that do much more than compress data structures.
In any event, this is an entirely new concept for me, so I'm curious to read up on anything about it, with a particular interest in seeing anyone using Java to do it.
I know this is an outrageously old question, but I decided to post this here just incase anyone else stumbles onto the same problem.
This is what I am currently using. It's really simple and works great.
https://code.google.com/p/xdeltaencoder/
You will need to make sure to checksum the source though (in my case fileAJson), as it does not do it automatically for you!
Anyways, code below:
//Create delta
String[] deltaArgs = new String[]{fileAJson.getAbsolutePath(), fileBJson.getAbsolutePath(), fileDelta.getAbsolutePath()};
XDeltaEncoder.main(deltaArgs);
//Apply delta
deltaArgs = new String[]{"-d", fileAJson.getAbsolutePath(), fileDelta.getAbsolutePath(), fileBTarget.getAbsolutePath()};
XDeltaEncoder.main(deltaArgs);
//Trivia, Surpisingly this also works
deltaArgs = new String[]{"-d", fileBJson.getAbsolutePath(), fileDelta.getAbsolutePath(), fileBTarget.getAbsolutePath()};
XDeltaEncoder.main(deltaArgs);
Update data only by difference between files (delta for java)
Wikipedia lists several Java implementations for the VCDIFF delta format.
There also exist Java implementations of the rsync algorithm, which can be used to create binary diffs. They don't seem production-ready, but if you just want to see the code they're fine. See Any good rsync library for Java?.
Is there any open source Java implementation for LDPC (Low Density Parity Check) codes, I found only MATLAB codes.
My scenario is I will take text file and divide into block and I will delete some data in text file, and by using LDPC codes I need to recover data from text files.
Thanks.
I haven't tried this but the code here should get you started
http://www.cs.utoronto.ca/~radford/ftp/LDPC-2006-02-08/install.html
http://www.cs.utoronto.ca/~radford/ftp/LDPC-2006-02-08/examples.html
It's in C though. Might be easy to port. Or not.
I'd suggest looking into ways of calling matlab functions in java. I know there are a couple. Also why LDPC? While its one of the best FEC, it involves lots of matrix manipulation if I recall correctly. This is stuff much better suited for mat[rix]lab. The right tool for the right job...
There are also these two pure Java implementations:
https://github.com/a4a881d4/ldpc-java
https://github.com/pierroweb/LDPC-correcting-codes
I haven't tested them and would appreciate feedback from anyone else that has.
There's also a Java wrapper around a C++ library: http://cpham.perso.univ-pau.fr/MULTICAST/Java_wrapper_for_LDPC.html
Not the most promising results, but something to start from, at the very least.