I'm working on a project that requires me to add a model through Parser (which requires the plant to be of the same type as the array used) before Setting the position of the model in said plant and taking distance queries. These queries only work when the query object generated from the scene graph is of type float.
I've run into a problem where setting the position doesn't work due to the array being used being of type AutoDiff. A possible solution would then be converting the plant of type float to Autodiff with plant.ToAutoDiff(), but this only creates a copy of the plant without coupling it to the scene graph (and in turn the query object) from which the queries are derived. Taking queries with a query object generated from the original plant would then fail to reflect the new position passed to the AutoDiff copy.
Is there a way to create a new scene graph from the already finalized symbolic copy of the original plant, so that I can perform the queries with it?
A couple of thoughts:
Don't just convert the plant to autodiff. Convert the whole diagram. That will give you a converted, connected network.
You're stuck with the current workflow. Presumably, your proximity geometries are specified in your parsed file (as <collision> tags). The parsing process is ephemeral. The declaration is consumed, passed through MultibodyPlant into SceneGraph. If there is no SceneGraph at parse time, all knowledge of the declared collision geometry is forgotten.
So, the typical workflow is:
Create a float-valued diagram.
Scalar convert it to an AutoDiff-valued diagram.
Keep both around to serve the different roles.
We don't have a tutorial that directly shows scalar converting an entire diagram, but it's akin to what is shown in this MultibodyPlant-specific tutorial. Just call ToScalarType() on the Diagram root.
I'm working on a project where I'll have an agent in a random maze, and this maze does not have an exit. The goal would be for the agent to explore the maze and 'remember' how it looks. After some time I'll spawn an item at a random location and the agent will be notified only if it has mapped out that given area. The agent will use the map it has generated to determine the shortest path to the item.
I know of maze algorithms like A*, but these algorithms require a start and end position for the traversal to stop. These algorithms don't 'remember' how the maze looks they just determine the shortest path between two points. Since the maze is closed there is no end position. My initial idea was to have the agent travel randomly and fill in a 2D array of how the map looks, this just seems inefficient to me. Any ideas would be great.
So you will have two steps, exploration and traversing.
Suppose you have explored the maze completely, then when the item appears, you can just use A* with goal being the item.
To explore the map and store it, you can create a data structure appropriate for the map. For example, if the connecting paths don't matter and only the conjunctions do, then just create a Node class where each node has a list of connected nodes. Finally, you can start a breadth-first search or depth-first search to explore the whole map, while storing the info in the aforementioned data structure.
Depending on the actual map, either exploration algorithms might be more effective. I'd start with depth-first though, since that sounds similar to our human approach to mazes - always turn in the same direction at an intersection! (Good that dfs takes care of circular paths!)
I tried to follow this tutorial on using ELKI with pre-computed distances for clustering.
http://elki.dbs.ifi.lmu.de/wiki/HowTo/PrecomputedDistances
I used the following set of command line options:
-dbc.filter FixedDBIDsFilter -dbc.startid 0 -algorithm clustering.OPTICS
-algorithm.distancefunction external.FileBasedDoubleDistanceFunction
-distance.matrix /path/to/matrix -optics.minpts 5 -resulthandler ResultWriter
ELkI fails with a configuration error saying db.in file is needed to make the computation.
The following configuration errors prevented execution:
No value given for parameter "dbc.in":
Expected: The name of the input file to be parsed.
No value given for parameter "parser.distancefunction":
Expected: Distance function used for parsing values.
My question is what is db.in file? Why should I provide it in addition to the distance matrix file since the pair-wise distance matrix file completely specifies all the information about the point cloud. (also I don't have access to any other information other than the pair-wise distance information).
What should I do about db.in? Should I override it, or specify some dummy information etc. Kindly help me understand.
thank you.
This is documented in the ELKI HowTos:
http://elki.dbs.ifi.lmu.de/wiki/HowTo/PrecomputedDistances
Using without primary data
-dbc DBIDRangeDatabaseConnection -idgen.count 100
However, there is a bug (patch is on the howto page, and will be in the next release) so you right now can't fully use this; as a workaround you can use a text file that enumerates the objects.
The reason for this is that ELKI is designed to work on multi-relational data. It's not just processing matrixes. But some algorithms may e.g. need a geographic representation of an object, some measurements for this object, and a label for evaluation. That is three relations.
What the DBIDRange data source essentially does is create a single "fake" relation that is just the DBIDs 0 to 99. On algorithms that don't need actual data, but only distances (e.g. LOF or DBSCAN or OPTICS), it is sufficient to have object IDs and a distance matrix.
I have one PDB structure. This structure has 13 residues. I have to find the distance between two atoms(only C,O,N,S) using for loop. First I have to find the distance between first and second residue. after that first and third residue.up to first and 13 th residue and so on. How can I write the python script using for loop?
Using the xyz coordinates you can calculate distances between each atom. First you'll have to parse the PDB file and store the coordinates. Then just iterate over the list of atoms (for atom in list_of_atoms) and calculate the euclidean distance between them..
http://en.wikipedia.org/wiki/Euclidean_distance#Three_dimensions
Biopython's Bio.PDB module also allows such calculation easily.
I've recently taken the plunge into DirectX and have been messing around a little with Anim8or, and have discovered several file types that models can be exported to that are text based. I've particularly taken to VTX files. I've learned how to parse some basics out of it, but I'm obviously missing a few things.
It starts with a .Faceset with is immediately (on the same line) followed by the number of meshes in the file.
For each mesh, there is one .Vertex section and one .Index section in that order and the first pair of .Vertex/.Index sections are the first mesh, the second set are the second mesh and so on as you'd expect.
In a .Vertex section of the file, there's 8 numbers per line and an undefined number of lines (unless you want to trust the comments Anim8or has put just before the section, but that doesn't seem to be part of the specs of the file, just Anim8or being kind). The first 3 numbers correspond to X, Y, and Z coordinates for a particular point that'll later be used as a vertex, the other 5 I have no idea. A majority of the time, the last 2 numbers are both 0, but I've noticed that's not ALWAYS true, just usually true.
Next comes the matching .Index section. This section has 4 numbers. The first 3 are reference numbers to the Vertexes previously stated and the 3 points mark a triangle in the model. 0 meaning the first mentioned Vertex, 1 meaning the next one, and so on, like a zero-based array. The 4th number appears to always be -1, I can't figure out what importance it has and I can't promise it's ALWAYS -1. In case you can't tell, I'm not too certain about anything in this file type.
There's also other information in the file that I'm choosing to ignore right now because I'm new and don't want to overcomplicate things too much. Such as after every .Index section is:
.Brdf
// Ambient color
0.431 0.431 0.431
// Diffuse color
0.431 0.431 0.431
// Specular color and exponent
1 1 1 2
// Kspecular = 0.5
// end of .Brdf
It appears to me this is about the surface of the mesh just described. But it's not needed for placement of meshes so I moved past it for now.
Moving on to the real problem... I can load a VTX file when there's only one mesh in the VTX file (meaning the .FaceSet is 1). I can almost successfully load a VTX file that has multiple meshes, each mesh is successfully structured, but not properly placed in relation to the other meshes. I downloaded an AT-AT model from an Anim8or thread in a forum and it's made up of 344 meshes, when I load the file just using the specs I've mentioned so far, it looks like the AT-AT is exploded out as if it were a diagram of how to make it (when loaded in Anim8or, all pieces are close and resemble a fully assembled AT-AT). All the pieces are oriented correctly and have the same up direction, but there's plenty of extra space between the pieces.
Does somebody know how to properly read a VTX file? Or know of a website that'll explain what those other numbers mean?
Edit:
The file extension .VTX is used for a lot of different things and has a lot of different structures depending on what the expected use is. Valve, Visio, Anim8or, and several others use VTX, I'm only interested in the VTX file that Anim8or exports and the structure that it uses.
I have been working on a 3D Modeling program myself and wanted a simple format to be able to bring objects in to the editor to be able to test the speed of my drawing routines with large sets of vertices and faces. I was looking for an easy one where I could get models quickly and found the .vtx format. I googled it and found your question. When I was unable to find the format on the internet, I played around and compared .OBJ exports with .vtx ones. (Maybe it was created just for Anim8or?) Here is what I found:
1) Yes, the vertices have eight numbers on each line. The first three are, as you guessed, the x, y, and z coordinates. The next three are the vertex normals, nx, ny, and nz. You may notice that each vertex appears multiple times with different normals for each face that contains it. The last two numbers are texture coordinates.
2) As for the faces, I reached the same conclusions as you did. The first three numbers are indices into the vertex list above. The last number does appear to always be -1. I am going to assume that it has something to do with the facing of the face. (e.g. facing in or out.) Since most models are created with the faces all facing appropriately, it stands to reason that this would be the same number for all of them.
3) One additional note: When comparing the .obj with the .vtx, I did notice that the positions of the vertices changed. This was also true when comparing with the .an8 file. This should not be a "HUGE" problem as long as they are all offset by the same amount in each vertex and every file. At least then it could be compensated for.
Have you considered using the .obj file format? It is text-based and is not extremely difficult to parse or understand. There is quite a bit of information about it online.
I am going to add that, after a few hours inspection, the vtx export in Anim8or seems to be broken. I experienced the same problem as you did that the pieces were not located properly. My assumption would be that anim8or exports these objects using the local coordinates for each mesh and not accounting for transformations that have been applied. I do also note that it will not IMPORT the vtx file...
Based on some googling, it seems you're at the wrong end of the pipeline. As I understand it: A VTX file is a Valve Proprietary File Format that is the result of a set of steps.
The final output of Studiomdl for each
Half-Life model is a group of files in
the gamedirectory/models folder ready
to be used by the Game Engine:
an .MDL
file which defines the structure of
the model along with animation,
bounding box, hit box, material, mesh
and LOD information,
a .VVD file which
stores position independent flat data
for the bone weights, normals,
vertices, tangents and texture
coordinates used by the MDL, currently
three separate types of VTX file:
.sw.vtx (Software),
.dx80.vtx (DirectX
8.0) and
.dx90.vtx (DirectX 9.0) which store hardware optimized material,
skinning and triangle strip/fan
information for each LOD of each mesh
in the MDL,
often a .PHY file
containing a rigid or jointed
(ragdoll) collision model, and
sometimes
a .ANI file for To do:
something to do with model animations
Valve
Now the Valve Source SDK may have some utilities in it to read VTX's (it seems to have the ability to make them anyway). Some people may have made 3rd party tools or have code to read them, but it's likely to not work on all files just cause it's a 3rd party format. I also found this post which might help if you haven't seen it before.