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hub / github.com/KichangKim/DeepDanbooru

github.com/KichangKim/DeepDanbooru @main

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79 symbols 197 edges 27 files 14 documented · 18%
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

resnet_original_bottleneck_model
called by 5
deepdanbooru/model/resnet.py
grad_cam_test
called by 2
deepdanbooru/gradcam.py
export_model_as_float32
called by 2
deepdanbooru/commands/train_project.py
resnet_bottleneck_inc_block
called by 2
deepdanbooru/model/resnet.py
conv
called by 2
deepdanbooru/model/layers/__init__.py
load_image_for_evaluate
called by 2
deepdanbooru/data/__init__.py
main
called by 1
deepdanbooru/__main__.py
run_test
called by 1
deepdanbooru/gradcam.py

Shape

Function 68
Method 5
Route 5
Class 1

Languages

Python100%

Modules by API surface

deepdanbooru/__main__.py14 symbols
deepdanbooru/model/resnet.py9 symbols
tests/test_main.py6 symbols
deepdanbooru/model/layers/__init__.py6 symbols
deepdanbooru/data/dataset_wrapper.py6 symbols
deepdanbooru/io/__init__.py5 symbols
deepdanbooru/commands/grad_cam.py5 symbols
deepdanbooru/project/project.py3 symbols
deepdanbooru/model/losses/__init__.py3 symbols
deepdanbooru/gradcam.py3 symbols
deepdanbooru/extra/__init__.py3 symbols
deepdanbooru/commands/evaluate.py3 symbols

For agents

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

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