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github.com/HeavenDuke/DeepIC @main

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45 symbols 164 edges 15 files 9 documented · 20%
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

construct_input_data
called by 5
utils/loader.py
_bn_relu_conv
called by 5
models/ResSppNet.py
build
called by 5
models/ResSppNet.py
_bn_relu
called by 3
models/ResSppNet.py
_shortcut
called by 2
models/ResSppNet.py
build_resnet_34
called by 2
models/ResSppNet.py
imageSIFT
called by 1
utils/preprocessor.py
extractSIFT
called by 1
utils/preprocessor.py

Shape

Function 32
Method 11
Class 2

Languages

Python100%

Modules by API surface

models/ResSppNet.py17 symbols
utils/preprocessor.py13 symbols
layers/SpatialPyramidPooling.py6 symbols
utils/loader.py2 symbols
models/NaiveSPPNet.py2 symbols
models/NaiveLeNet.py2 symbols
utils/writer.py1 symbols
models/HybridResSPPNet.py1 symbols
layers/InceptionBlock.py1 symbols

For agents

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

⬇ download graph artifact