4/25/2023 0 Comments Javafx image vs imageviewerSometimes, it will leave out the first seat image, but replace the rest. Because when I head over to the main menu inside my GUI app, and then come back, my program always gives me weird results. But the problem arises, when I store this new information (my new images, along with the number of seats left). Now here's what I am hoping to achieve: When I click on my button, I want my "seat images" to be replaced with the new ones (which by the way, I already managed to achieve through a very basic approach). Other than that, I have a label on top of my scene that keeps a count of number of seats left. I also have a button in my scene that will process the booking part by replacing my existing image inside my "Seats images views" with new ones (the ones filled with color). On the imageView I have two HBoxes with ImagViews (my seat logo for the cinema) parented to their stackPanes, which in turn are parented to their own separate panes. I used scene builder to put together a scene that consists of an anchor pane: on which there is an image view (which serves as my background image). So this way, all the films will have their own separate halls on the basis of their timings. Now I went for bit of amateur'ish approach and decided to create a nested HashMap of the type: *HashMap,Integer> *, I used another temporary HashMap to store my keys. Now allow me to explain my thought process before I post the code below: According to my logic, each film will have it's own separate timings, and each of these timings will have their own separate halls (or in my case, their own number of seats). Anyways, today I decided to shift my focus towards the booking menu. Now assume you want to do a visual sanity check of the cv::Canny() implementation.So I have been working on a Cinema GUI app coded in javafx for about a week now. If you make one more step over the cv::Canny() call, you will see a thumbnail of the edge image appear in the image list. This is expected at this point in the program, since the C++ constructor for edges has not run yet, and so its members have undefined values (in debug mode they are usually filled with "0xCD" bytes).įrom here you can single-step through your code (Debug->Step Over, or press F10) and watch the pixels change: if you step once, over the Mat edges statement, the edges image will change from "invalid" to "empty", which means that it is now in a valid state (default constructed), even though it has not been initialized yet (using cv::Mat::create(), for example). This indicates that some data members of this image object have corrupt or invalid values (for example, a negative image width). Note that the second image in the list, edges, is shown as "invalid". To build the program, create a console application project in Visual Studio, name it "image-watch-demo", and insert the source code below. In this example, we use a minimal test program that loads an image from a file and runs an edge detector. Image Watch works with any existing project that uses OpenCV image objects (for example, cv::Mat). When the installer has finished, make sure to restart Visual Studio to complete the installation. To launch it, simply double-click on the. ( Visual Studio 2019 | Visual Studio 2017 | Visual Studio 2012, 2013, 2015) The installer comes in a single file with extension. Ability to create and build OpenCV projects in Visual Studio (Tutorial: How to build applications with OpenCV inside the "Microsoft Visual Studio").ĭownload the Image Watch installer.An OpenCV installation on your Windows machine (Tutorial: Installation in Windows).Visual Studio 2012 Professional (or better) with Update 1 installed.This tutorial assumes that you have the following available: This can be helpful for tracking down bugs, or for simply understanding what a given piece of code is doing. Image Watch is a plug-in for Microsoft Visual Studio that lets you to visualize in-memory images ( cv::Mat or IplImage_ objects, for example) while debugging an application. Warning This tutorial can contain obsolete information. Next Tutorial: Introduction to Java Development Prev Tutorial: How to build applications with OpenCV inside the "Microsoft Visual Studio"
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