To return the relative frequency in 1 million words of the word "smartass", query:
Extract the result from the json returned, e.g. with python like (the score is NOT ...
NM Dev has a number of quadratic programming solvers: Dual ActiveSet Minimizer and Primal Active Set
Alternatively, you can reformulate your problem as a Second Order Conic Programming (SOCP) problem and solve it using an SOCP interior point solver, or an implementation of SDPT3v4
It seems like python-chess could be what you're looking for, unless I'm missing something. Specifically, check out the docs related to PGN.
Available via pip.
Here is an example for the King's Knight opening:
pgn = io.StringIO("1. e4 e5 2. Nf3 *")
game = chess.pgn.read_game(pgn)
board = game.board()
for move in game....
You could generate CAPTCHA images on your own server without connecting to any external servers as follows:
Draw text on an image that contains letters and/or numbers.
Use image processing to distort or camouflage the contents of the image to make it hard for OCR software to correctly read it.
Display the image on the website, possibly with a secondary ...
You can do this using LEADTOOLS. (Disclaimer: I am an employee of the vendor of this library).
The following C++ code takes the name of any image file and saves the image into a PDF file. Subsequent calls to this function with different images will append the new images to the same file.
void AppendImageToPdf(TCHAR* pszInputImageName, TCHAR* pszOutputPDF)
For your problem I recommend hazelcast.
Made for extensive read operations.
Allow you to write custom serialization and deserialization classes which decrease CPU cost while reading and writing.
Allow you to run SQL query on top of your map.
Allow you to make indexes on map variables which makes custom retrieval so ...
I would recommend Syncfusion JS libraries. It has very good charts, gauges, maps, and more than 60+ other controls as well, and the best part is you can get it for free if you are an individual developer or if your company is generating less than 1 million in revenue. If you are eligible you can get the community license and try it out.
Chart demos: https:/...
Why not trying https://github.com/JPro-one/markdown-javafx-renderer? It is based on flexmark-java.
Example application: https://github.com/jpro-one/markdown-javafx-renderer/blob/master/example/src/main/java/com/sandec/mdfx/ExampleMDFX.java
MDFXNode mdfx = new MDFXNode("your-markdown");
If you are interested in a commercial solution, you can check out the LEADTOOLS OCR SDK. There is no machine training needed and it can run straight out of the box. Disclaimer: I am an employee of this company.
OCR can be performed on an image with only a few lines of code:
OcrEngine ocrEngine = OcrEngineManager.createEngine(OcrEngineType.LEAD);
You can use Cloudmersive Convert API which is free for commercial use up to 1K conversions/month. Here is how you can call it in Java:
// Import classes:
You can call ACTION_IMAGE_CAPTURE intent for capturing the images through device camera. For 'n' no. of photos, call the intent 'n' number of times.
This is useful if you want the user to take a fixed number of photos, you can refer the answer given here.
Alternatively you can also use INTENT_ACTION_STILL_IMAGE_CAMERA intent for keeping the camera in still ...
The current AVFoundation support PDF417 metadata. Too late to answer but if this is still required, AVFoundation solves the issue. Just add the following code to the scanning session:
let metadataOutput = AVCaptureMetadataOutput()
metadataOutput.setMetadataObjectsDelegate(self, queue: DispatchQueue.main)
metadataOutput.metadataObjectTypes = [.pdf417]
I am looking for a thread pool implementation based on C++11 threading facilities.
This is kind-of generic description. Basically, there are at least two types of thread pools. First, and much much simpler ones, allow you just to enqueue some jobs (tasks) represented by function objects and assign these tasks to running threads, which run these functors ...
I have spent some hours under this issue and via lots of testing I found that when you put a white border around the aztec code image, then it works quite well and fast :-) I use it in my app: //for the barcode bitmap (string) scanning: implementation 'com.google.zxing:core:3.3.3' //FOR THE CAMERA SCANNING: implementation 'com.journeyapps:zxing-android-...
I would suggest keeping an eye out for pandas official documentation on IO. One's option keeps changing based on the development cycle and new formats get added all time. They also publish the benchmark.
Despite late, I found it important to mention openGA.
OpenGA is a C++ Genetic Algorithm library. This library is fast and it relies on std::thread for parallelism. This library has multi-threading enabled by default.
This library is cross-platform and it can be compiled by modern compilers which support C++11.
OpenGA supports single objective, NSGA-III ...