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github.com/eth-ait/dip18 @main

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263 symbols 630 edges 19 files 125 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

get
called by 108
train_and_eval/configuration.py
run
called by 18
train_and_eval/tf_train.py
set
called by 17
train_and_eval/configuration.py
print
called by 16
train_and_eval/utils.py
SendSync
called by 8
live_demo/Client.cs
apply
called by 7
train_and_eval/data_operators.py
exists
called by 6
train_and_eval/configuration.py
dump
called by 6
train_and_eval/configuration.py

Shape

Method 192
Function 41
Class 30

Languages

Python74%
C#26%

Modules by API surface

train_and_eval/tf_models.py60 symbols
train_and_eval/utils.py25 symbols
train_and_eval/configuration.py20 symbols
live_demo/SMPLPoseUpdater.cs19 symbols
live_demo/read_mtw.cs17 symbols
live_demo/inference_server.py17 symbols
train_and_eval/dataset.py16 symbols
live_demo/Client.cs15 symbols
live_demo/visualize_data.cs13 symbols
train_and_eval/tf_train.py11 symbols
train_and_eval/tf_data_feeder.py11 symbols
train_and_eval/data_operators.py9 symbols

For agents

$ claude mcp add dip18 \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact