DenseFace3D | time 3D face model from a monocular camera
kandi X-RAY | DenseFace3D Summary
kandi X-RAY | DenseFace3D Summary
DenseFace3D is a C++ library. DenseFace3D has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
This is a software for the reconstruction of a real-time 3D face model from a monocular camera by Rui Huang. This work was done during my undergraduate internship at Institute of Automation, Chinese Academy of Sciences. Boost, Dlib 18.10, OpenCV 2.4, GLUT. Note: Please make sure conn.txt and landmark.txt and dlib's default face landmarking model file shape_predictor_68_face_landmarks.dat (download here) are in the same directory as the executable. cmake .. -Ddlib_DIR=path/to/dlib/ (make sure the file dlib_DIR/dlib/cmake exists). the program will use your webcamera by default. You can specify a video file as the first command line argument. The inspiration comes from IntraFace. Copyright (C) 2016 by Rui Huang huangrui@cmu.edu. The program DenseFace3D is licensed under the GNU General Public License. DenseFace3D is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. DenseFace3D is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with DenseFace3D. If not, see
This is a software for the reconstruction of a real-time 3D face model from a monocular camera by Rui Huang. This work was done during my undergraduate internship at Institute of Automation, Chinese Academy of Sciences. Boost, Dlib 18.10, OpenCV 2.4, GLUT. Note: Please make sure conn.txt and landmark.txt and dlib's default face landmarking model file shape_predictor_68_face_landmarks.dat (download here) are in the same directory as the executable. cmake .. -Ddlib_DIR=path/to/dlib/ (make sure the file dlib_DIR/dlib/cmake exists). the program will use your webcamera by default. You can specify a video file as the first command line argument. The inspiration comes from IntraFace. Copyright (C) 2016 by Rui Huang huangrui@cmu.edu. The program DenseFace3D is licensed under the GNU General Public License. DenseFace3D is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. DenseFace3D is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with DenseFace3D. If not, see
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DenseFace3D has a low active ecosystem.
It has 85 star(s) with 50 fork(s). There are 11 watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 2 have been closed. On average issues are closed in 99 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DenseFace3D is V1.0
Quality
DenseFace3D has no bugs reported.
Security
DenseFace3D has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DenseFace3D does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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DenseFace3D releases are available to install and integrate.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of DenseFace3D
DenseFace3D Key Features
No Key Features are available at this moment for DenseFace3D.
DenseFace3D Examples and Code Snippets
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Vulnerabilities
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Install DenseFace3D
You can download it from GitHub.
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