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hub / github.com/DavidBoja/SMPL-Fitting

github.com/DavidBoja/SMPL-Fitting @main

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125 symbols 505 edges 13 files 60 documented · 48%
What it actually does AI analysis from the code graph — generated when you open this
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Core symbols most depended-on inside this repo

cuda
called by 32
body_models.py
update
called by 24
losses.py
send_to_socket
called by 12
utils.py
load_config
called by 9
utils.py
load_scan
called by 8
utils.py
process_body_model_path
called by 5
utils.py
load_landmarks
called by 5
utils.py
deform_verts
called by 5
body_models.py

Shape

Function 66
Method 44
Class 15

Languages

Python100%

Modules by API surface

utils.py36 symbols
losses.py30 symbols
body_models.py14 symbols
datasets.py12 symbols
visualization.py9 symbols
dash_app.py6 symbols
body_parameters.py5 symbols
fit_vertices.py4 symbols
refine_fitting.py3 symbols
fit_body_model.py3 symbols
evaluate_fitting.py2 symbols
landmarks.py1 symbols

For agents

$ claude mcp add SMPL-Fitting \
  -- python -m otcore.mcp_server <graph>

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