1.4 KiB
The article depicting the whole process of porting the SOD realnets face detector to WebAssembly is available to consult at: Porting a Face Detector Written in C to WebAssembly.
This frontal face detector, WebAssemby model is pre-trained on the Genki-4K datatset for Web oriented applications. The model is production ready, works at Real-Time on all modern browsers (mobile devices included). Usage instruction already included in the package.
The model must be downloaded from https://pixlab.io/downloads. Once downloaded, just put it on the directory where the HTML file usage.html reside.
When you deploy the Webassembly face model on your server, make sure
your HTTP server (Apache, Nginx, etc.) return the appropriate MIME type
for the wasm file extension. Under Apache, simply put the following
directives on your .htaccess or Virtual host configuration:
AddType application/wasm .wasm
AddOutputFilterByType DEFLATE application/wasm
For chrome users, you must test the model on an actual web server, whether served locally (i.e http://127.0.0.1) or remotely. This is due to the fact that chrome does not allow WebAssembly modules to be loaded directly from the file system (Edge and Firefox do not have such issue).