How to validate openlayers map bounding box - wms

I have couple of sub layers in WMS service. All of them have EX_GeographicBoundingBox with same format like:
0: 100
1: -50.0243292
2: 180.05332479999998
3: 0.0089988
except one layer has format like:
0: 12245143.9872601
1: -5621521.48619207
2: 17254521.0729574
3: -1118889.97485796
since my code using this following code to convert bounding box into ol coordinator:
ol.proj.transformExtent(extent, 'EPSG:4326', 'EPSG:3857')
so the last layer causing crashing the application.
How to validate this following format before convert into ol coordinator:
0: 12245143.9872601
1: -5621521.48619207
2: 17254521.0729574
3: -1118889.97485796

Related

Gets all polygons from a json file

I have a json file, with the coordinates of several polygons. What I want to do is automate the getting the coordinates but saving them separately by polygons. In the file that I currently use, I have 2 polygons:
{"type":"Feature","geometry":{"type":"MultiPolygon","coordinates":[
[[[0.03990083369766674,41.65117297365802],[0.03986585098450487,41.6511738730363],[0.0398193071116094,41.65118861345209],[0.03978640897789055,41.651211227828185],[0.039785212880236676,41.65121205009294],[0.039761889395081365,41.65124414021116],[0.03975127958141444,41.65127097990489],[0.03973309671778063,41.65131697476312],[0.039706482497244025,41.651425988964064],[0.03969658765996025,41.65146652049745],[0.039683272167788275,41.65150292059053],[0.03968380609505212,41.65151410540278],[0.03968455879000179,41.6515298809837],[0.03969278143750318,41.65153853529924],[0.03969588944738445,41.651541805918015],[0.03971376972429572,41.65156062329174],[0.039752407785648564,41.65158215221135],[0.03979465677110295,41.65160350427274],[0.03988602119749911,41.651632606242316],[0.03992955596697664,41.65164948823451],[0.03993958742929026,41.65165619711021],[0.039968351608118506,41.651675434417314],[0.03999355934521909,41.651701840766634],[0.04000585559790465,41.65173745966629],[0.04000155651951174,41.65177364266802],[0.03998752269819514,41.65181002432095],[0.03993384247251406,41.65191499844431],[0.0399064931590255,41.65198778102845],[0.03987869457550017,41.65209657478536],[0.03987154648804941,41.65213727647139],[0.03986267424301351,41.65216458136081],[0.039847923768933036,41.65220997439829],[0.03980755819723356,41.65227854926681],[0.03978735697119576,41.65231062932676],[0.0397695957173166,41.65234709479867],[0.039757844288369676,41.65238344543852],[0.03975297859328857,41.65242411611149],[0.03975461138812371,41.65245838049552],[0.039754692692589313,41.652460093756645],[0.03976241996958375,41.65249586520693],[0.039775312175620324,41.65253159055675],[0.039792208417040606,41.65257165102716],[0.0398126778639959,41.65260712072893],[0.03984532034965278,41.652678297340344],[0.039888420936520154,41.652749203216246],[0.039899750755712435,41.652784978019326],[0.03990246230155005,41.65282539304425],[0.03990100971764384,41.65284035977143],[0.03989973315371473,41.652853510978275],[0.03989900644266644,41.65286150731441],[0.03988340855812481,41.65289793925871],[0.03982299431103434,41.65300310029855],[0.03980279308499652,41.653035180358444],[0.039796679324458795,41.65304764676378],[0.03978491196989489,41.653071643315826],[0.0397440929372068,41.65317631904341],[0.0397286140756973,41.65321275350229],[0.03970857042944851,41.65324925082547],[0.03966616386420511,41.6533061086308],[0.03966059408921564,41.6533135760688],[0.03962721818698753,41.653337031149846],[0.039608159414420085,41.65335700606448],[0.03959644067489746,41.653369288906106],[0.039574675385634625,41.65340141925745],[0.03955691413175548,41.653437884729385],[0.03954504200339567,41.653474232016464],[0.03952742659464041,41.65350945529025],[0.03952465972823856,41.65351498818487],[0.03951080444147017,41.653542693729264],[0.03949758031204822,41.6535615806728],[0.03948831998487233,41.6535748056404],[0.03938851917243118,41.65370353659338],[0.039367413538987255,41.65375064205381],[0.039358610025561444,41.653770290912405],[0.039341569615398024,41.653808324638504],[0.03932925156976292,41.65384916294957],[0.039294849722525456,41.653976004621455],[0.03927882436089661,41.65403509285139],[0.03927713624549725,41.654056445750996],[0.03927596780812548,41.65407122304717],[0.039281407663608055,41.65410711603502],[0.039310323554892744,41.654178376465495],[0.03936399288409906,41.65425614795873],[0.039382605739391195,41.65428311924833],[0.03939218541709694,41.654297000518994],[0.0394054858218423,41.65431627386832],[0.03942630395599031,41.65434644117781],[0.039450928312595376,41.6544222747749],[0.03945708817360331,41.65445818620299],[0.039456164487818746,41.654516564485675],[0.03945594907289441,41.654530202681144],[0.039453803305554584,41.65455188918051],[0.03945192324456115,41.65457089514709],[0.03943704788011598,41.65460725500702],[0.03941627919919963,41.65464382357635],[0.03934394253232732,41.654732627331185],[0.0393319027658941,41.654747407980096],[0.039311307590383746,41.65477269199252],[0.03926260956824479,41.6548369987957],[0.03925610688737672,41.65484747114613],[0.03921995489865273,41.65490569352545],[0.03921109941742416,41.65492864736862],[0.0392059194009554,41.6549420751783],[0.03919861708647711,41.65497826991475],[0.03919375139139601,41.65501894058772],[0.039193012107492216,41.655039557556165],[0.03919245806365955,41.655055020492085],[0.03919789791914211,41.655090913479995],[0.03921464077172523,41.65512646783898],[0.03923784355746767,41.65515732497917],[0.03926289874392143,41.65517922521707],[0.03928896814071942,41.655192054558825],[0.03933606186649572,41.65518633390957],[0.0394175440284636,41.655148178645845],[0.039442782778607764,41.65513278192702],[0.03945621058828894,41.65512459029256],[0.039527098862206865,41.65506869053877],[0.039586379037730636,41.65501163156773],[0.039623324792732284,41.654976069665025],[0.039725422246779336,41.654896838882365],[0.03976381052740279,41.654868829913084],[0.03980034640731491,41.65485428311925],[0.039848573366467556,41.654835081854316],[0.039941219385935034,41.6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Here starts second polygon
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]}}
saved as poly1.json
Is there any way to save them separately, I would like the final result to be an like this:
array = [coordinates of polygon 1], [coordinates of polygon 2] where in the case of using more polygons than in the example, they will be saved automatically without having to change the code, array = [coordinates of polygon 1], [coordinates of polygon 2],[coordinates of polygon 3] and so on.
So far i have this :
require 'rubygems'
require 'json'
file = File.read('poly1.json')
coordinates = JSON.parse(file)
string=coordinates.to_s[0...-4]
path = string.split"["
path.shift()
path.shift()
path.shift()
This just gets all coordinates from both polygons in path. But what i want is to get polygon 1 coordinates separated from polygon 2 coordinates and in a case where i use a 3 polygon file, to get it separated whit out doing manualy.
Sorry for my bad english, and if you need something else ask in comments.

Your example is quite big and therefore not easy to understand. But from key structure at the beginning of the file
{"type":"Feature","geometry":{"type":"MultiPolygon","coordinates":[ [[[0.03990083369766674,41.65117297365802], ...
it looks like the coordinates are a simple hash nested below the geometry key. Therefore I would try the following:
require 'rubygems'
require 'json'
file = File.read('poly1.json')
data = JSON.parse(file)
coordinates = data["geometry"]["coordinates"]
coordinates[0] #=> should now return the first coordonate from the array

C# - Can not access File which is already being used - Iron OCR

I am using "Iron OCR", something like "Tesseract" to detect and scan certain Text from Screenshots.
Now I have the following error. Every time Iron OCR is used to scan an image for text it tries to access the Iron OCR log file which is somehow still used by the process before. So every time I get the error message that it can't access the log file because it is already in use. Nevertheless the Scan still works and I get a valid result even tho it gives me an exception because of that error.
My program works like this:
it takes a screenshots of certain areas of my screen.
it analyzes that image with Iron OCR and looks for text.
this process repeats itself infinitely.
I have following code:
//------------------------- # Capture Screenshot of specific Area # -------------------------\\
Rectangle bounds3;
Rect rect3 = new Rect();
bounds3 = new Rectangle(rect3.Left + 198, rect3.Top + 36, rect3.Right + 75 - rect3.Left - 10, rect3.Bottom + 30 - rect3.Top - 10);
CursorPosition = new Point(Cursor.Position.X - rect.Left, Cursor.Position.Y - rect.Top);
Bitmap result3 = new Bitmap(40, 14);
using (Graphics g = Graphics.FromImage(result3))
{
g.CopyFromScreen(new Point(bounds3.Left, bounds3.Top), Point.Empty, bounds3.Size);
}
//------------------------- # Analyze Image for Text # -------------------------\\
var Ocr = new IronTesseract();
using (var Input = new OcrInput(result))
{
Input.Contrast();
Input.EnhanceResolution(300);
Input.Invert();
Input.Sharpen();
Input.ToGrayScale();
try
{
//------------------- # This causes the Error - Using Try Catch to Ignore it # -------------------\\
var Result = Ocr.Read(Input);
text = Result.Text;
}
catch
{
}
}
Also removing all the above only using their "1 Line Code" gives the same error message:
var Result = new IronTesseract().Read(#"images\image.png").Text;
I hope someone can help me to figure out what exactly causes that issue.

ITK Filter Error: "Inputs do not occupy the same physical space" after affine registration

I'm attempting to perform diffeomorphic demon registration of two MRI images. The processing pipeline has been this so far:
Skull-stripping
Anisotropic Diffusion (smoothing)
Histogram Matching
Affine registration
Diffeomorphic Demons Registration
I didn't come up with the process, just fixing and cleaning up a Slicer software tool several researchers have built. I'm a summer student and quite unfamiliar with domain, however I've started to more less understand what's going on. The problem I've been unable to solve for the past several weeks is this error:
itk::ExceptionObject (0x1231130)
Location: "void itk::ImageToImageFilter<TInputImage, TOutputImage>::VerifyInputInformation() [with TInputImage = itk::Image<itk::Vector<float, 3u>, 3u>; TOutputImage = itk::Image<itk::Vector<float, 3u>, 3u>]"
File: /home/parallels/Desktop/Slicer-SuperBuild/ITKv4/Modules/Core/Common/include/itkImageToImageFilter.hxx
Line: 241
Description: itk::ERROR: DiffeomorphicDemonsRegistrationFilter(0x13870b0): Inputs do not occupy the same physical space!
InputImage Origin: [7.9639916e+01, -1.1042095e+02, -1.0426932e+02], InputImageMovingImage Origin: [-8.8678563e+01, -1.4923204e+02, 1.2193930e+02]
Tolerance: 1.5000000e-05
InputImage Spacing: [1.5000000e+01, 1.5000000e+01, 1.9199951e+01], InputImageMovingImage Spacing: [1.5154560e+01, 1.5108180e+01, 1.9319538e+01]
Tolerance: 1.5000000e-05
InputImage Direction: 1.5926319e-08 1.4070701e-08 -1.0000000e+00
9.9237583e-01 -1.2324859e-01 1.4070700e-08
1.2324859e-01 9.9237583e-01 1.5926320e-08
, InputImageMovingImage Direction: -0.0000000e+00 5.5205551e-10 1.0000000e+00
5.5205551e-10 1.0000000e+00 -5.5205553e-10
-1.0000000e+00 5.5205551e-10 0.0000000e+00
Tolerance: 1.0000000e-06
From what I understand, the diffeomorphic registration relies on the two images being coincident, hence the affine registration step beforehand. For some reason though, the affine transformation doesn't line up the two images properly. As a result, they don't occupy the same physical space. I'm clearly missing something but can't seem to figure out what it is.
The affine registration is performed with this file (I made some edits on my local copy to comply with the Slicer module's way of input/output but they're nearly identical). The transform that was created had the following characteristics:
Optimizer stop condition: RegularStepGradientDescentOptimizerv4: Step too small after 33 iterations. Current step (9.76563e-05) is less than minimum step (0.0001).
Result =
Center X = -1.95155
Center Y = 11.6381
Center Z = 36.5165
Translation X = 1.09423
Translation Y = 0.021133
Translation Z = -0.0154539
Iterations = 34
Metric value = 8974.52
Scale 1 = 1.15384
Scale 2 = 1.08962
Angle (degrees) = -5.6116
The following code was used to save the transform to a file:
// Write the transform to a file
itk::TransformFileWriter::Pointer transformWriter = itk::TransformFileWriter::New();
transformWriter->SetInput( registration->GetOutput()->Get() );
transformWriter->SetFileName( outputMatrix.c_str() );
transformWriter->Update();
And the demon registration is performed with this file (Made a few edits but mostly the same as well). The affine transform is loaded at line 799.
Reading transform from transform input file.
Found: AffineTransform (0x1e0c0b0)
RTTI typeinfo: itk::AffineTransform<double, 3u>
Reference Count: 3
Modified Time: 1322
Debug: Off
Object Name:
Observers:
none
Matrix:
1.01338 0.0887047 0.0223631
-0.11891 1.09423 0.021133
-0.0154539 0.0302253 1.14062
Offset: [-0.256888, -34.7809, -17.895]
Center: [-1.95155, 11.6381, 36.5165]
Translation: [1.56597, -32.6804, -12.3781]
Inverse:
0.977286 -0.0787352 -0.0177019
0.105999 0.905809 -0.0188607
0.0104321 -0.0250698 0.876975
Singular: 0
Edit: Commenting out the following line does not change anything in the resulting output. ie the initial displacement is not being applied at all. Still don't know why.
typedef typename itk::MultiResolutionPDEDeformableRegistration <ImageType, ImageType, DeformationFieldType, PixelType > MultiResRegistrationFilterType;
typename MultiResRegistrationFilterType::Pointer multires = MultiResRegistrationFilterType::New();
// Commenting out this line doesn't change anything
multires->SetArbitraryInitialDisplacementField ( inputDefField );

It looks like the Diffeomorphic Demons Registration code you are using requires that Fixed and Moving images have the same physical space, meaning:
Origin
Spacing
Dimensions
Did you try to resample your moving image to the fixed image space, and then call the Diffeomorphic Demons Registration with this resampled moving image and fixed image?
I didn't know this EZminc code but it looks like it requires both inputs to be in the same space somehow.

Encog load CSV file with customized network

I want to load data from CSV file like this:
var format = new CSVFormat('.', ' ');
IVersatileDataSource source = new CSVDataSource(filename, false, format);
var data = new VersatileMLDataSet(source); ...
Then I have two options:
Use EncogModel
var model = new EncogModel(data);
model.SelectMethod(data, MLMethodFactory.TypeFeedforward); ...
Make own network
var network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, 11));
network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 8));
network.AddLayer(new BasicLayer(new ActivationTANH(), true, 5));
...
IMLDataSet trainingSet = new BasicMLDataSet(input, output);
I don't know how to set number of layers, neurons and activation functions with first option (Encog Model). All I get is some default feedforward network with one hidden layer only.
I don't know how can get easily input and output arrays separately for my own network (second option) from VersatileMLDataSet. I can get whole array (input + output), but there must be a way how to get only input array or output array.

I found answer in documentation (Encog Method & Training Factories, page 75), with EncogModel is possible customize network like this:
var methodFactory = new MLMethodFactory();
var method = methodFactory . Create(
MLMethodFactory .TYPEFEEDFORWARD,
”?:B−>SIGMOID−>4:B−>SIGMOID−>?”,
2,
1);
The above code creates a neural network with two input neurons and one
output neuron. There are four hidden neurons. Bias neurons are placed
on the input and hidden layers. As is typical for neural networks,
there are no bias neurons on the output layer. The sigmoid activation
function is used between both the input and hidden neuron, as well
between the hidden and output layer. You may notice the two question
marks in the neural network architecture string. These will be filled
in by the input and output layer sizes specified in the create method
and are optional. You can hard-code the input and output sizes. In
this case the numbers specified in the create call will be ignored.

How to map a document list in WEBMethods?

I want to map an array which in WebMethods is a document list. I thought that you could just map that variable over without mapping all of the children. I have done this and nothing shows in the PassArea. (PassArea is the data array that is being sent to a mainframe program afterwards.)
A --> B
Field1 F1
Field2 F2
field3 F3
The document is A and the input document into the Natural program is B. The --> is the link that connects them together.
I don't have an image to show, because that would reveal some company information.

If the fields of document list "A" has different names than the fields of document list "B" then no, you cannot map document list "A" to document list "B". WebMethods doesn't know which field from A corresponds to what field from "B".
You will have to do the following:
LOOP over document list "A"
Map each field of "A" to a generic document containing the same fields as document list "B"
Append the generic document to document list "B"
Drop the generic
document.
Step #2 screenshot
Step #3 screenshot

There's a lot ways to map between arrays of documents. But before you create one, consider these writings:
Techcommunity SoftwareAG - performance impact with appendToDocumentList
quest4apps.com - Reason to avoid appendToDocumentList
As hint from #2 said that there's 6 ways they ranked as follows from fastest to slowest (but I'm going to give an example in first three, because the latter three is quite obviously slow, which considered to be avoided):
1. Java Loop: looping done through a Java service.
The easiest way to create java service is to map the input output first.
Right-click and click on "Generate Code" until the dialog box appears
Choose the option "For implementing this service"
And the service is created
Just re-arrange the code into this:
public static final void mappingDocuments(IData pipeline) throws ServiceException {
// pipeline
IDataCursor pipelineCursor = pipeline.getCursor();
// Instantiate input A
IData[] A = IDataUtil.getIDataArray(pipelineCursor, "A");
// Initiate output B
IData[] B = new IData[A.length];
if (A != null)
{
for (int i = 0; i < A.length; i++)
{
// Populate the Field in doc A
IDataCursor ACursor = A[i].getCursor();
String Field1 = IDataUtil.getString(ACursor, "Field1");
String Field2 = IDataUtil.getString(ACursor, "Field2");
String Field3 = IDataUtil.getString(ACursor, "Field3");
ACursor.destroy();
// Create IData[i] and cursors finally put all Fields into B[i] variable output
B[i] = IDataFactory.create();
IDataCursor BCursor = B[i].getCursor();
IDataUtil.put(BCursor, "F1", Field1);
IDataUtil.put(BCursor, "F2", Field2);
IDataUtil.put(BCursor, "F3", Field3);
BCursor.destroy();
// OR JUST USE CLONE BELOW IF YOU DON'T HAVE ANY MODIFICATION INSIDE THE VARIABLE
// B[i] = IDataUtil.clone(A[i]);
}
}
pipelineCursor.destroy();
// Finally to put the B Map(IData) to output.
// Actually you can use only single pipelineCursor throughout all code but it's just for readable
IDataUtil.put(pipelineCursor, "B", B);
pipelineCursor.destroy();
}
Result
2. Implicit Loop: for simple lists of the same size, you may want to link them directly in a MAP step
Create flow service and input & output document
Create MAP step
Select both document in ForEach loop.
3. Explicit Loop: using a LOOP step and its Output Array.
Create flow service and input & output document
Create LOOP step
Change the properties of LOOP, input array=A; output array=B; and create a map under LOOP step
Map all parameters in A to B
Hope these helps...