How to generate own json? about smpl-anthropometry HOT 7 CLOSED

Thanks. I would try it

from smpl-anthropometry.

Hi,

In the main part of measure.py you can see how to generate the measurements:

The measurer.measurements and measurer.labeled_measurements are python dictionaries of measurements, which you can convert easily to json.

To use on your own data, you can adapt the same snippet i shared above. If you want to initialize the body model with the vertices of an already fitted SMPL body model to your scan, you can use:

MeasureSMPL(...).from_verts(verts)

instead of

MeasureSMPL(...).from_smpl(betas, gender)

as it says in the README file.

from smpl-anthropometry.

thanks for answering. So, what kind of input data I need to have? I'm still get in trouble about this.

from smpl-anthropometry.

There are two options for the input data:

1. SMPL shape (called betas with dimension 1 x 10) and gender parameters. In this case you can initialize the measurer with:

MeasureSMPL(...).from_smpl(betas, gender)

2. SMPL body vertices (called verts, dimension 6890 x 3). In this case you can initialize the measurer with:

MeasureSMPL(...).from_verts(verts)

In the first case your SMPL body is defined by its parameters, and in the second case it's defined with its vertices.

from smpl-anthropometry.

So, let me make a conclusion. If I want to use my own data, I need to have .obj file and fit the .from_verts function, right? If not, what kind of file type should I have. Sorry to bother you.

from smpl-anthropometry.

Yes, that is one of the options. Having 6890 3D vertices from the .obj file that correspond to an SMPL model. Then you can use the .from_verts function.

No problem -- I refined the README file to hopefully make things a bit more clear. Checkout the Running section and let me know if there are more questions.

from smpl-anthropometry.

Closing issue -- feel free to re-open if you will have further questions.

from smpl-anthropometry.