Repository to help installing easymocp on windows
The video tutorial for installation of Easymocap on windows system. https://www.patreon.com/posts/easymocap-raw-04-50646448
The video with the calibration to use on Easymocap https://www.patreon.com/posts/easymocap-raw-04-50646809
To do the manual calibration you can use the labelme package
install it using
pip install labelme
if you are a linux user, maybe this command will be better to install labelme (thanks to HacktopS https://twitter.com/HacktopS for the tip)
sudo apt-get install labelme
Attention
There is a huge thing that the tutorial We've done is missing, to say that you should run the installation script for easymocp
https://github.com/zju3dv/EasyMocap/blob/master/doc/installation.md#3-install
that says to run this line
python3 setup.py develop --user
The new version of easymocap, has the option to create the data needed to import in the addon MOCAP_IMPORT, you just have to add this command --write_smpl_full when running easymocap.
For example, it you used to run this:
python apps/demo/mv1p.py 0_input/sample --out 1_output/sample/smplx2 --undis --sub_vis 1 7 13 19 --body bodyhandface --model smplx --gender male
You will have to run this:
python apps/demo/mv1p.py 0_input/sample --out 1_output/sample/smplx2 --undis --sub_vis 1 7 13 19 --body bodyhandface --model smplx --gender male --write_smpl_full
And in Mocap import, you will hve to import the folder SMPL_FULL
It is strongly recommended that you have CUDA 10.1 installed. Because PyTorch 1.4.0 does not support CUDA 10.2 or CUDA 11.0. Click here to install CUDA 10.1.
conda install pytorch==1.4.0 torchvision==0.5.0 cpuonly -c pytorch