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how to include opencv.js and opencv.wasm into html?

asked 2018-02-22 07:08:13 -0600

rock_solid gravatar image

I've build an opencv.js using this tutorial (https://docs.opencv.org/3.3.1/d4/da1/...). The asm version works fine, but I've problems with the wasm version.

The python script build_js.py creates 3 files in the bin folder: opencv.js, opencv_js.js and opencv_js.wasm. What is the opencv_js.js for and how can I include the .js and the .wasm file into a html file? Unfortunately this is not documented in the tutorial.

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answered 2019-01-23 07:42:32 -0600

Lucy8 gravatar image

Keep opencv.js and opencv_js.wasm in the same directory. Then simply include opencv.js in your HTML

<script src="./opencv.js"></script>

It will automatically load the opencv_js.wasm.

Please NOTE if you just open your HTML file by double clicking on it you will not see opencv_js.wasm in the network tab. To make this work you need to run a local server. For example, if you already have installed nodeJS in your computer, and also have installed http-server globally then run http-servercommand in the directory where your HTML file is. Then open http://localhost:8080/ (or in whichever port you run) and you will be able to see that opencv_js.wasm is loaded

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answered 2018-05-22 02:03:34 -0600

rishant gravatar image

You just need to include the opencv.js file , other 2 will be automatically loaded by the script. In case you need to see how WASM is loaded in general, refer to the Mozilla Documentation for that, i think that's the best you have out there right now.

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answered 2018-05-22 06:13:47 -0600

updated 2018-05-22 06:16:47 -0600

berak gravatar image

hey, net is the maximum ubiquitous open computing platform. With HTML5 standards implemented in every browser, net programs are able to render on line video with HTML5 video tags, capture webcam video thru WebRTC API, and get entry to every pixel of a video body via canvas API. With abundance of available multimedia content material, internet developers are in want of a wide array of image and vision processing algorithms in JavaScript to construct progressive programs. This requirement is even more crucial for emerging applications at the web, together with net virtual reality (WebVR) and Augmented reality (WebAR). All of those use cases demand efficient implementations of computation-in depth vision kernels on internet.

Emscripten is an LLVM-to-JavaScript compiler. It takes LLVM bitcode - which can be generated from C/C++ the use of clang, and compiles that into asm.js or WebAssembly that can execute immediately within the web browsers. . Asm.js is a extraordinarily optimizable, low-level subset of JavaScript. Asm.js allows in advance-of-time compilation and optimization in JavaScript engine that provide close to-to-native execution pace. WebAssembly is a new portable, size- and load-time-efficient binary format appropriate for compilation to the internet. WebAssembly ambitions to execute at native speed. WebAssembly is presently being designed as an open popular by way of W3C.

OpenCV.js is a JavaScript binding for selected subset of OpenCV capabilities for the internet platform. It permits emerging internet programs with multimedia processing to enjoy the huge kind of vision capabilities available in OpenCV. OpenCV.js leverages Emscripten to collect OpenCV functions into asm.js or WebAssembly goals, and gives a JavaScript APIs for net software to get right of entry to them. The future versions of the library will take advantage of acceleration APIs which can be to be had on the net along with SIMD and multi-threaded execution.

OpenCV.js became to start with created in Parallel Architectures and systems institution at college of California Irvine (UCI) as a research venture funded through Intel employer. OpenCV.js turned into similarly stepped forward and incorporated into the OpenCV challenge as a part of Google summer of Code 2017 program. regards jayesh

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Asked: 2018-02-22 07:08:13 -0600

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Last updated: Jan 23 '19