Face Analyzer
Facial landmarks, pose, gender, age, race, eyeglasses, hat, baldness, blond hair, expression recognition and OpenCV, NCNN API
Facial landmarks, pose, gender, age, race, eyeglasses, hat, baldness, blond hair, expression recognition and OpenCV, NCNN API* This page contains affiliate links, meaning we may earn a small commission if you purchase something through them, at no extra cost. $330
- Category:
- Add-ons › Machinelearning
- Developer:
- illuni
- Price:
- $330
- Rating:
- Favorites:
- 389
- Supported Unity Versions:
- 2021.3.33 or higher
- Current Version:
- 3.3.3
- Download Size:
- 548.46 MB
- Last Update:
- Oct 29, 2024
- Description:
- Face Analyzer is a deep-learning based face analyzer plugin trained with 150,000+ datasets and OpenCV/NCNN API for Unity C#. It provides facial landmarks detection, head pose estimation, gender estimation, age estimation, race estimation, baldness estimation, blond hair estimation, eyeglasses detection, hat detection, and facial expression estimation. The plugin also includes a lightweight OpenCV API and NCNN API for Unity C#. It works offline and supports various AR Sticker Examples. The trained deep learning model is lightweight, with facial landmarks and head pose model size at 3.8MB and facial attributes model size at 14.6MB. The plugin is available for Windows, macOS, Android, and iOS. If you encounter any issues, please contact the developer before leaving a review.
- Technical Details:
- The plugin provides the following features:
1) 51 / 84 facial landmarks detection
2) head pose estimation (roll, pitch and yaw)
3) gender estimation (male / female)
4) age estimation (0 ~ 99)
5) race estimation (white / black / Asian / Indian / others)
6) baldness estimation (bald or not bald)
7) blond hair estimation (blond or not blond)
8) eyeglasses detection (wearing eyeglasses or not)
9) hat detection (wearing hat or not)
10) facial expression estimation (neutral, happy, sad, fear, disgust, angry, and surprise)
11) lightweight OpenCV API with only core, imgproc, and dnn module
12) NCNN API
13) Works offline
14) Various AR Sticker Examples - Continue »