videoavatars-master

所属分类:其他
开发工具:Python
文件大小:6638KB
下载次数:0
上传日期:2019-12-06 11:35:52
上 传 者小臻
说明:  输入一个转了一圈的人的视频,通过三维重建,能够得到一个三维模型和其皮肤纹理,可以通过软件或代码讲皮肤纹理贴合在三维模型上。 【代码来自《Detailed Human Avatars from Monocular Video》这篇文章】
(Input the video of a person who has turned a circle, and through 3D reconstruction, a 3D model and its skin texture can be obtained, and the skin texture can fit on the 3D model through software or code. [the code is from detailed human avatars from Montreal Video])

文件列表:
assets (0, 2018-07-16)
assets\b2m_f.npy (216, 2018-07-16)
assets\b2m_m.npy (216, 2018-07-16)
assets\basicModel_ft.npy (330704, 2018-07-16)
assets\basicModel_vt.npy (121296, 2018-07-16)
assets\bodyparts.pkl (36114, 2018-07-16)
assets\prior_a_pose.pkl (38821, 2018-07-16)
lib (0, 2018-07-16)
lib\ch.py (911, 2018-07-16)
lib\frame.py (1091, 2018-07-16)
lib\geometry.py (1464, 2018-07-16)
lib\rays.py (3139, 2018-07-16)
lib\__init__.py (48, 2018-07-16)
models (0, 2018-07-16)
models\bodyparts.py (1704, 2018-07-16)
models\smpl.py (6785, 2018-07-16)
models\__init__.py (47, 2018-07-16)
paper_Detailed Human Avatars from Monocular Video 2018.pdf (6802241, 2019-12-06)
prepare_data (0, 2018-07-16)
prepare_data\2djoints2hdf5.py (971, 2018-07-16)
prepare_data\create_camera.py (1601, 2018-07-16)
prepare_data\masks2hdf5.py (1034, 2018-07-16)
render (0, 2018-07-16)
render\camera.py (1164, 2018-07-16)
render\renderer.py (6616, 2018-07-16)
render\__init__.py (48, 2018-07-16)
requirements.txt (91, 2018-07-16)
run_step1.sh (395, 2018-07-16)
run_step2.sh (429, 2018-07-16)
run_step3.sh (459, 2018-07-16)
step1_pose.py (11892, 2018-07-16)
step2_consensus.py (7116, 2018-07-16)
step3_texture.py (7210, 2018-07-16)
tex (0, 2018-07-16)
tex\iso.py (2253, 2018-07-16)
tex\__init__.py (46, 2018-07-16)
util (0, 2018-07-16)
... ...

# Video Avatars This repository contains code corresponding to the paper **Video based reconstruction of 3D people models**. ## Installation Download and unpack the SMPL model from here: http://smpl.is.tue.mpg.de/. Download and unpack the SMPLify Code from here: http://smplify.is.tue.mpg.de/ ``` git clone https://github.com/thmoa/videoavatars.git videoavatars cd videoavatars/vendor mkdir smpl cd smpl touch __init__.py ln -s /models . ln -s /smpl_webuser/*.py . cd .. mkdir smplify cd smplify touch __init__.py ln -s /code/models . # this file needs to be copied! cp /code/lib/sphere_collisions.py . # these files can be linked ln -s /code/lib/capsule_body.py . ln -s /code/lib/capsule_ch.py . ln -s /code/lib/robustifiers.py . ``` Change line 14 in `vendor/smplify/sphere_collisions.py` to ``` from vendor.smpl.lbs import verts_core ``` ## Usage The software consists of three parts: 1. `step1_pose.py`: pose reconstruction 2. `step2_consensus.py`: consensus shape optimization 3. `step3_texture.py`: texture calculation Starting the scripts will display usage information and options. Additionally, we provide helper bash scripts for easier processing of our dataset. The scripts in `prepare_data` might help you to process your own data. ## Citation This repository contains code corresponding to: T. Alldieck, M. Magnor, W. Xu, C. Theobalt, and G. Pons- Moll. **Video based reconstruction of 3D people models**. In *IEEE Conference on Computer Vision and Pattern Recognition*, 2018. Please cite as: ``` @inproceedings{alldieck2018video, title = {Video Based Reconstruction of 3D People Models}, author = {Alldieck, Thiemo and Magnor, Marcus and Xu, Weipeng and Theobalt, Christian and Pons-Moll, Gerard}, booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition}, year = {2018} } ``` ## Dataset The accompanied dataset can be downloaded here: https://graphics.tu-bs.de/people-snapshot ## License Copyright (c) 2018 Thiemo Alldieck, Technische Universitat Braunschweig, Max-Planck-Gesellschaft **Please read carefully the following terms and conditions and any accompanying documentation before you download and/or use this software and associated documentation files (the "Software").** The authors hereby grant you a non-exclusive, non-transferable, free of charge right to copy, modify, merge, publish, distribute, and sublicense the Software for the sole purpose of performing non-commercial scientific research, non-commercial education, or non-commercial artistic projects. Any other use, in particular any use for commercial purposes, is prohibited. This includes, without limitation, incorporation in a commercial product, use in a commercial service, or production of other artefacts for commercial purposes. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. You understand and agree that the authors are under no obligation to provide either maintenance services, update services, notices of latent defects, or corrections of defects with regard to the Software. The authors nevertheless reserve the right to update, modify, or discontinue the Software at any time. The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. You agree to cite the **Video Based Reconstruction of 3D People Models** paper in documents and papers that report on research using this Software.

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