Using OpenCV.js {#tutorial_js_usage}
Steps
In this tutorial, you will learn how to include and start to use opencv.js
inside a web page.
Create a web page
First, let's create a simple web page that is able to upload an image.
@code{.js}
Hello OpenCV.jsHello OpenCV.js @endcode
To run this web page, copy the content above and save to a local index.html file. To run it, open it using your web browser.
@note It is a better practice to use a local web server to host the index.html.
Include OpenCV.js
Set the URL of opencv.js
to src
attribute of <script> tag.
@note For this tutorial, we host opencv.js
at same folder as index.html.
Example for synchronous loading: @code{.js}
@endcode
You may want to load opencv.js
asynchronously by async
attribute in <script> tag. To be notified when opencv.js
is ready, you can register a callback to onload
attribute.
Example for asynchronous loading @code{.js}
@endcode
Use OpenCV.js
Once opencv.js
is ready, you can access OpenCV objects and functions through cv
object.
For example, you can create a cv.Mat from an image by cv.imread.
@note Because image loading is asynchronous, you need to put cv.Mat creation inside the onload
callback.
@code{.js} imgElement.onload = function() { let mat = cv.imread(imgElement); } @endcode
Many OpenCV functions can be used to process cv.Mat. You can refer to other tutorials, such as @ref tutorial_js_table_of_contents_imgproc, for details.
In this tutorial, we just show a cv.Mat on screen. To show a cv.Mat, you need a canvas element.
@code{.js} @endcode
You can use cv.imshow to show cv.Mat on the canvas. @code{.js} cv.imshow(mat, "outputCanvas"); @endcode
Putting all of the steps together, the final index.html is shown below.
@code{.js}
Hello OpenCV.jsHello OpenCV.js
OpenCV.js is loading...
@endcode@note You have to call delete method of cv.Mat to free memory allocated in Emscripten's heap. Please refer to Memeory management of Emscripten for details.
Try it
\htmlonly
\endhtmlonly