Output format / BVH Writer / 3D rendering tool

[j-min]

Output format / BVH Writer / 3D rendering tool

[xiangdonglai]

If you are still interested in exporting our estimated motion to BVH, we've provided an example in C++ that uses our BVH exporter.

Please checkout 'FitAdam/bvh.cpp'. After recompiling the C++ project, you can 'cd FitAdam/' and run './build/bvh'; it will generate an 'output.bvh' file containing the first 10 frames of the dancing sequence (assuming you have already generated our estimation result).

[xiangdonglai]

You can try to use our BVHWriter code, but this is not guaranteed as it is not a core part of our work. An example is

// 'g_total_model' is an object of Adam model
BVHWriter bvhwriter(g_total_model.m_parent);
// 'J0_vec' is the T-pose skeleton, 'ts' and 'poses' are vectors of global translation and pose parameters for different time steps.
bvhwriter.parseInput(J0_vec, ts, poses);
bvhwriter.writeBVH(std::string("temp.bvh"), 1.0/30);

[j-min]

Could you please elaborate more in detail what g_total_model.m_parent, J0_vec, ts and poses are?
How can we find these values in code and paper?
Can these be read from output file so that we can run this script as standalone?
If not, where should we put the example code in run_fitting.cpp?

g_total_model.m_parent seems to be initialized here.
Is this just an initialization constant for Adam model for any skeleton in any time step?

What does 'J0_vec is the T-pose skeleton' mean? Where can we obtain value for J0_vec?

Does ts correspond to this, and poses correspond to this?

[xiangdonglai]

g_total_model is initialized after calling

    // initialize total model
    LoadTotalModelFromObj(g_total_model, std::string("model/mesh_nofeet.obj"));
    LoadModelColorFromObj(g_total_model, std::string("model/nofeetmesh_byTomas_bottom.obj"));  // contain the color information
    LoadTotalDataFromJson(g_total_model, std::string("model/adam_v1_plus2.json"), std::string("model/adam_blendshapes_348_delta_norm.json"), std::string("model/correspondences_nofeet.txt"));
    LoadCocoplusRegressor(g_total_model, std::string("model/regressor_0n1_root.json"));

J0_vec is the zero-pose skeleton for the BVH file, it is compute here.

You are right about ts and poses. You need vectors of both of them that contain the results for every frame. To be simple, you can create another executable where you initialize the model, read in the produced result files and call BVHWriter.