DlibFaceLandmarkDetector can Object Detection and Shape Prediction using Dlib C++ Library.
Unity Free Source Code
Although this Unity Asset is typically a paid asset, it is currently available for free download. It’s important to note that this offer is intended strictly for educational purposes or for testing the product before making a purchase, and it should not be utilized for commercial activities
UNITY ASSET STORE LİNK: LINK
The Built-in Render Pipeline is Unity’s default render pipeline. It is a general-purpose render pipeline that has limited options for customization. The Universal Render Pipeline (URP) is a Scriptable Render Pipeline that is quick and easy to customize, and lets you create optimized graphics across a wide range of platforms. The High Definition Render Pipeline (HDRP) is a Scriptable Render Pipeline that lets you create cutting-edge, high-fidelity graphics on high-end platforms.
Works with Unity Cloud Build
ChromeOS support
iOS & Android support
Windows10 UWP support
WebGL support
Win & Mac & Linux Standalone support
Preview support in the Editor
DlibFaceLandmarkDetector can ObjectDetection and ShapePrediction using Dlib19.7 C++ Library.
Official Site | ExampleCode | Android Demo WebGL Demo | Tutorial & Demo Video | Forum | API Reference
Features:
– You can detect frontal human faces and face landmark (68 points, 17points, 6points) in Texture2D, WebCamTexture and Image byte array. In addition, You can detect a different objects by changing trained data file.
– ObjectDetector is made using the now classic Histogram of Oriented Gradients (HOG) feature combined with a linear classifier, an image pyramid, and sliding window detection scheme. You can train your own detector in addition to human faces detector. If you want to train your own detector, please refer to this page.
– ShapePredictor is created by using dlib’s implementation of the paper(One Millisecond Face Alignment with an Ensemble of Regression Trees by Vahid Kazemi and Josephine Sullivan, CVPR 2014). You can train your own models in addition to human face landmark model using dlib’s machine learning tools. If you want to train your own models, please refer to this page.
DOWNLOAD LINK: LINK
