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github.com/dpressel/rude-carnie @main

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92 symbols 292 edges 12 files 16 documented · 17%
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

run
called by 21
yolodetect.py
_conv_layer
called by 9
yolodetect.py
decode_jpeg
called by 6
utils.py
_pooling_layer
called by 6
yolodetect.py
_fc_layer
called by 4
yolodetect.py
select_model
called by 4
model.py
_int64_feature
called by 3
preproc.py
get_checkpoint
called by 3
model.py

Shape

Function 49
Method 34
Class 9

Languages

Python100%

Modules by API surface

yolodetect.py18 symbols
preproc.py14 symbols
utils.py12 symbols
data.py11 symbols
detect.py8 symbols
model.py6 symbols
guess.py6 symbols
train.py5 symbols
dlibdetect.py5 symbols
eval.py3 symbols
filter_by_face.py2 symbols
export.py2 symbols

For agents

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

⬇ download graph artifact