FXApps

Computer Vision is not a new topic in Computer Science, but in the recent years it got a boost due the use of Neural Networks for classification, object detection, instance segmentation and pose prediction. We can make use of these algorithms in Java using a Deep Learning library, such as DL4J  as we already did in this blog with  handwritten digits recognition , and detecting objects in a JavaFX application . However, deep learning is popular mostly among Python developers (one reason is because Python easily wraps on top of native libraries, it will be easier in Java after Project Panama ), so we have much more pre-trained models for Tensorflow and Pytorch libraries. It is possible to import them, but it requires a bit more of work then simply reusing a pre-trained model. Fortunately there is a new library called Deep Java Library  which offers a good set of pre-trained models. It makes use of Jupyter , which makes easier to try the library APIs. Another DJL feature ...

A FAT JAR is a type of Java application distribution where a single JAR contains all other dependencies, so no additional file is required to run the JAR besides the Java Virtual Machine. For any Java maven based application, creating a FAR JAR could be solved by using Maven Shade Plugin . However, creating FAT Jars using JavaFX may be a challenge because JavaFX uses modules. Fortunately this subject was intensely discussed in the WEB, and a good explanation and a solution was provided by Jose Pereda in this StackOverflow response. In this post I want to briefly share the steps to make a FAT JAR and post an example on my github so I can point others to check the example. How to create a FAT JAR for a JavaFX application? 1- Create a main class that will run your application. This class must have the main method and call your actual application static launch method; 2- Add the Shade Plugin to your project. For those using Gradle notice that Jose Pereda also provided an answer about it i...

 The final goal of creating a battleship game was porting it to Android so I can run it on my phone. I was not in the mood to do all configuration and remember how to do it. This changed when GluonHQ introduced start.gluon.io . In this brief post I will share my steps porting the Battleship Game to JavaFX.  Android application development To take advantage of start.gluon.io I created a project and made it part of battleship maven project : The I modified the original JavaFX app so I could use it in the Android ready app: Decoupled the application setup from a pure desktop app: Instead doing setup on desktop main, I moved it to a separated class, so I could reuse the setup in mobile app; Resize: Since I didn't know the target device size, I had to react to scene resize to redraw the game boards. This was easily accomplished by adding a default method in Screen interface, which is called when Scene is resized. Then screen can modify boards size accordingly. I made more small c...