CVVTuberExample(Computer Vision Virtual YouTuber Example) is an example project of controlling 3D humanoid model ("Unity-chan!" Model) using WebCamTexture.
Обновлено 2024-11-15 15:47:26 +03:00
This asset is an example project that maps face mask to the detected faces in an image using “OpenCV for Unity” and “Dlib FaceLandmark Detector”.
Обновлено 2024-11-15 15:46:54 +03:00
FaceLandmark Detector using Dlib (Unity Asset Plugin)
Обновлено 2024-11-15 15:43:50 +03:00
OpenCV for Unity (Untiy Asset Plugin)
Обновлено 2024-11-15 15:41:46 +03:00
This asset is an Augmented Reality Example that detect and recognize markers and display 3D model in WebCamTexture in real-time.
Обновлено 2024-11-08 20:08:04 +03:00
This asset is a Marker-Less Augmented Reality Example using the actual environment as input instead of printed square markers and display 3d model in WebCamTexture in real-time.
Обновлено 2024-11-08 20:07:21 +03:00
This asset is an example project of face recognition in real time using “OpenCV for Unity”.
Обновлено 2024-11-08 20:06:49 +03:00
This asset is an example of swapping two faces in an image using “OpenCV for Unity” and “Dlib FaceLandmark Detector”.
Обновлено 2024-07-23 11:04:27 +03:00
You can use All methods of OpenCVforUnity in PlayMaker.
Обновлено 2023-01-14 08:05:43 +03:00
You can use almost all the methods of methods of DlibFaceLandmarkDetector in PlayMaker.
Обновлено 2022-12-14 18:23:40 +03:00
This asset is an Non-rigid Face Tracking Example that can model and track the many complex parts of a person’s face in WebCamTexture in real-time.
Обновлено 2022-12-13 13:35:51 +03:00
An example of a video recording app by using NatCorder and OpenCVForUnity.
Обновлено 2022-04-06 21:49:39 +03:00
An example of improving performance of video preview on mobile platform by replacing WebCamTexture of Unity standard API with NatCam.
Обновлено 2020-03-28 01:31:18 +03:00