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github.com/XiaokunSun/SemanticHuman @main

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86 symbols 308 edges 15 files 10 documented · 12%
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

load
called by 29
shape_data.py
decode
called by 10
models.py
save_obj
called by 10
utils_SH.py
calc_euclidean_dist_matrix
called by 6
utils_distance.py
skl2kps
called by 6
utils_SH.py
kps2skl
called by 5
utils_SH.py
save_meshes
called by 4
shape_data.py
LBO_slim
called by 3
utils_distance.py

Shape

Function 55
Method 24
Class 7

Languages

Python100%

Modules by API surface

utils_distance.py20 symbols
models.py15 symbols
utils_SH.py13 symbols
train_funcs.py9 symbols
mesh_sampling.py8 symbols
utils_spiral.py5 symbols
shape_data.py5 symbols
test_funcs.py4 symbols
autoencoder_dataset.py4 symbols
obj2npy.py2 symbols
configure/cfgs.py1 symbols

For agents

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

⬇ download graph artifact