This was the last version released that supported legacy OS's (Windows XP+, OSX 10.6+). The go-to version would be 0.14.7, the Long-Term Support (LTS) release. One solution to reduce file size is to use an older version of NW.js. However, for those willing to use older versions of these technologies, this opens the opportunity for some interesting trade-offs. It typically produces a new release within 24 hours of a new Chromium or Node release. NW.js is known for having the latest tech. Since NW.js is built on top of these technologies, it inherits these improvements, but also their growth in file size. So as time goes on, Chromium and Node improve, get new features, and become more secure. NW.js, to oversimplify, is a modified Chromium browser with Node.js built in. In that time I've found some tricks and best practices for optimizing for the medium of desktop apps, and I'd like to share some of these techniques today. I've been making desktop apps for over 5 years now. NW.js is not exempt from this generality. However, the easier the tooling is to use, and the more powerful it is, the larger your distribution package tends to be. The following is an adaptation of Face Detection using Haar Cascades.There are a ton of benefits around using tools to build XPDA's (cross-platform desktop apps). This section explains how to do just that, this is, configuring emscripten so files are accessed directly from our local filesystem and relative paths match files relative to the current local directory as expected. This is often preferable since there's no need of copy file's content in memory. In the browser, this filesystem is emulated in memory while in Node.js there's also the possibility of using the local filesystem directly. Since JavaScript applications in the browser don't have access to the local filesystem, emscripten emulates a standard filesystem so compiled C++ code works out of the box. These C++ sources use standard APIs to access the filesystem and the implementation often ends up in system calls that read a file in the hard drive. Remember that OpenCV library is written in C++ and the file opencv.js is just that C++ code being translated to JavaScript or WebAssembly by emscripten C++ compiler. Example setupīefore the example, is worth consider first how files are handled in emscripten applications such as OpenCV.js. Also it tries to describe how files are supported by emscripten applicationsĪccessing the emscripten filesystem is often needed in OpenCV applications for example to load machine learning models such as the ones used in Load Caffe framework models and How to run deep networks in browser. In this tutorial you will learn how to configure emscripten so it uses the local filesystem for file operations instead of using memory. Node exampleNodeCanvas.js Dealing with files Example setupĮxecute the following commands to create a new node.js package and install jimp dependency: In this example we use jimp, which supports common image formats and is pretty easy to use. In node.js we will need to use a library for this. In the browser it uses the HTML DOM (like HTMLCanvasElement and HTMLImageElement to decode and decode images). OpenCV.js doesn't support image formats so we can't load png or jpeg images directly. See emscripten Module API for more details.In this case we load the file opencv.js form the current folder, and, as said previously emscripten will call Module.onRuntimeInitialized() when its ready. require() which is a Node.js API, is used to load modules and files. The statement **"cv = require('./opencv.js')"** requires the file opencv.js and assign the return value to the global variable cv.Our program is in that method and uses the global variable cv just like in the browser. In the first statement:, by defining a global variable named 'Module', emscripten will call Module.onRuntimeInitialized() when the library is ready to use.
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