document body segmentation

Configuration.md

@@ -174,8 +174,11 @@ const config: Config = {
   },
 
   segmentation: {
-    enabled: false,          // if segmentation is enabled, output result.canvas will be augmented
+    enabled: false,          // controlls and configures all body segmentation module
-                             // with masked image containing only person output
+                             // removes background from input containing person
+                             // if segmentation is enabled it will run as preprocessing task before any other model
+                             // alternatively leave it disabled and use it on-demand using human.segmentation method which can
+                             // remove background or replace it with user-provided background
     modelPath: 'selfie.json',  // experimental: object detection model, can be absolute path or relative to modelBasePath
                              // can be 'selfie' or 'meet'
   },

Usage.md

@@ -61,6 +61,7 @@ Example that performs single detection and then draws new interpolated result at
   human.image(image, config?) // runs image processing without detection and returns canvas
   human.warmup(config, image? // warms up human library for faster initial execution after loading
                               // if image is not provided, it will generate internal sample
+  human.models        // dynamically maintained list of object of any loaded models
   human.tf            // instance of tfjs used by human
 ```
 
@@ -77,11 +78,15 @@ For details, see [embedding documentation](https://github.com/vladmandic/human/w
   human.enhance(face) // returns enhanced tensor of a previously detected face that can be used for visualizations
 ```
 
-Internal list of modules and objects used by current instance of `Human`:
+## Input Segmentation and Backgroun Removal or Replacement
+
+`Human` library can attempt to detect outlines of people in provided input and either remove background from input
+or replace it with a user-provided background image
 
 ```js
-  human.models        // dynamically maintained list of object of any loaded models
+  const inputCanvas = document.getElementById('my-canvas);
-  human.classes       // dynamically maintained list of classes that perform detection on each model
+  const replacementBackground = document.getElementById('my-background);
+  human.segmentation(inputCanvas, replacementBackground);
 ```
 
 ## Draw Functions