Webassembly OpenCV Apache Cordova

Install cmake and other required tools to prepare the development environment for Webassembly, OpenCV, and Cordova projects.

Clone the emscripten sdk from github to download and install webassembly tooling for OpenCV and Cordova development.

Check the emcc installation to enable webassembly workflows with OpenCV in Apache Cordova projects and ensure cross-platform compatibility.

Learn how to obtain OpenCV from GitHub and build opencv.js using WebAssembly to enable computer vision in web apps.

Add two essential plugins to the project, one for permissions and one for the camera, to enable access and imaging capabilities.

Explore an optional Vim install and configuration step, and learn that you can use any editor of your choice.

Modify the config.xml to update the widget id, name, and description, then edit the AndroidManifest file to add camera permissions.

Edit index.html to set a content security policy and update the app title, add a video input and a bordered canvas, and copy the opencv.js file to the correct directory.

Install google chrome and enable developer mode, tapping kernel compilation seven times. Enable usb debugging, connect the device, verify adb visibility, install and start the app, and grant camera access.

Edit index.js to add a minimal init, remove cordova dependencies, and implement functions that permit camera access, detect the back camera, and check if opencv is ready.

Create a campermit function that uses a plugin to obtain camera permission, start the camera if granted, or print an error, and declare a global variable.

Create a findbackkam function to get the back camera id using enumerateDevices. Create a findbackkam function to get the back camera id using enumerateDevices.

Create a checkocvready function to verify OpenCV readiness in a WebAssembly demo, and note it's not proper for production; bundlers like Webpack improve initialization.

Explore how to implement a start_video function to initiate video playback in your app, following the example shown.

Create a filter image function, apply a canny edge detection filter, invert colours, and manipulate data with JavaScript for testing.

Perform the final build, connect your phone, install the application on the phone, and start it to verify that everything runs as expected.