Estimation example

What it does

This example demonstrates how to use the detector and to estimate a mouth state, emotions, face attributes, quality, eye and head pose on an image.

Prerequisites

This example assumes that you have already read the FaceEngine Handbook (or at least have it somewhere nearby for reference) and know some core concepts, like memory management, object ownership, and life-time control. This sample will not explain these aspects in detail.

Example walkthrough

To get familiar with FSDK usage and common practices, please go through example_extraction first.

How to run

./example_estimation <some_image.ppm>

Example output

Warped images with faces.

Detection 1
Rect: x=277 y=426 w=73 h=94
Attribure estimate:
gender: 0.999705 (1 - man, 0 - woman)
wearGlasses: 0.000118364 (1 - person wears glasses, 0 - person doesn't wear glasses)
age: 17.7197 (in years)
Quality estimate:
light: 0.962603
dark: 0.974558
gray: 0.980648
blur: 0.955808
quality: 0.955808
Eye estimate:
left eye state: 2 (0 - close, 1 - open, 2 - noteye)
right eye state: 2 (0 - close, 1 - open, 2 - noteye)

Detection 2
Rect: x=203 y=159 w=63 h=89
Attribure estimate:
gender: 0.0053403 (1 - man, 0 - woman)
wearGlasses: 0.000911222 (1 - person wears glasses, 0 - person doesn't wear glasses)
age: 16.1504 (in years)
Quality estimate:
light: 0.964406
dark: 0.971644
gray: 0.981737
blur: 0.955808
quality: 0.955808
Eye estimate:
left eye state: 0 (0 - close, 1 - open, 2 - noteye)
right eye state: 2 (0 - close, 1 - open, 2 - noteye)