PARE has been implemented and tested on Ubuntu 18.04 with python >= 3.7. If you don't have a suitable device, try running our Colab demo. Clone the repo: git clone https://github.com/mkocabas/PARE.git Install the requirements using virtualenv or conda: ...
Helper github repo:https://github.com/carlosedubarreto/vibe_win_install If you do not have a suitable environment to run this project then you could give Google Colab a try. It allows you to run the project in the cloud, free of charge. You may try our Colab demo using the notebook ...
Install the requirements using virtualenv or conda: #pipsourcescripts/install_pip.sh#condasourcescripts/install_conda.sh Running the Demo SPEC First, you need to download the required data (i.e our trained model and SMPL model parameters). It is approximately 1GB. To do this you can just run...
When I run the "python demo.py --vid_file sample_video.mp4 --output_folder output/", I get this error
Install dependencies usingpip. pip install -r requirements.txt or create a newcondaenv: Download annotation files fromGoogleDrive(150 MB) as a zip file under${ROOT}folder. Run below commands to unzip them. Finally prepare your workspace by running: ...
install.packages("Rmosek",type="source",INSTALL_opts="--no-multiarch",repos="http://download.mosek.com/R/8") Installing klic You can install the latest released version ofklicfromCRANwith install.packages("klic") or the development version fromGitHubwith ...
sudo apt install ffmpeg Install OpenEXR: sudo apt-get install libopenexr-dev Clone the repository: git clone https://github.com/deepmind/tapnet.git Add current path (parent directory of where TapNet is installed) toPYTHONPATH: export PYTHONPATH=`(cd ../ && pwd)`:`pwd`:$PYTHONPATH ...
pip install -r requirements.txt Download the SMPL, SMPL-X, MANO, FLAME body models: SMPL:https://smpl.is.tue.mpg.de/(v1.1.0) SMPL-X:https://smpl-x.is.tue.mpg.de/(v1.1) MANO:https://mano.is.tue.mpg.de/ FLAME:https://flame.is.tue.mpg.de/ ...
Install **make** and all packages starting with **mingw64-i686** and **mingw64-x86_64**. 2. Open the Cygwin Terminal. 3. Go to the fio directory (source files). 4. Run ``make clean && make -j``. To build fio on 32-bit Windows, run ``./configure --build-32bit-win`` ...
After ran the code pip install PyOpenGL PyOpenGL_accelerate The error became: (venv) frank@frank-Blade:~/PycharmProjects/VIBE$ python demo.py --vid_file sample_video.mp4 --output_folder output/ --display Running "ffmpeg -i sample_video.mp4 -f image2 -v error /tmp/sample_video_mp4/%06d...