Frontal face detector, **WebAssemby model** pre-trained on the Genki-4K datatset for **Web oriented applications**.
The article depicting the whole process of porting the <ahref="https://sod.pixlab.io/c_api/sod_realnet_detect.html">SOD realnets face detector</a> to WebAssembly is available to consult at: <ahref="https://sod.pixlab.io/articles/porting-c-face-detector-webassembly.html">Porting a Face Detector Written in C to WebAssembly</a>.
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 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.
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.
@ -14,4 +16,4 @@ directives on your .htaccess or Virtual host configuration:
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.
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).
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).