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101 symbols 244 edges 23 files 16 documented · 16%

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

read_img

called by 10

code_3DLUT/datasets_GLC.py

channel_convert

called by 7

code_3DLUT/datasets_GLC.py

read_xmp_and_statis

called by 3

utils/data_augment_get_target_xmp.py

generator

called by 3

code_3DLUT/train_GLC.py

_is_numpy_image

called by 3

code_3DLUT/torchvision_x_functional.py

get_xmp_augment

called by 2

utils/data_augment_get_target_xmp.py

backward

called by 2

code_3DLUT/models_x.py

forward

called by 2

code_3DLUT/models_x.py

Shape

Function 59

Method 29

Class 13

Languages

Python92%

C++8%

Modules by API surface

code_3DLUT/torchvision_x_functional.py32 symbols

code_3DLUT/models_x.py31 symbols

code_3DLUT/datasets_GLC.py6 symbols

code_3DLUT/trilinear_cpp/src/trilinear.cpp5 symbols

utils/data_augment_get_xmps.py4 symbols

utils/data_augment_get_target_xmp.py4 symbols

code_3DLUT/datasets_evaluation.py4 symbols

code_3DLUT/datasets.py4 symbols

code_3DLUT/trilinear_cpp/src/trilinear_cuda.cpp3 symbols

code_3DLUT/train.py3 symbols

code_3DLUT/validation.py2 symbols

code_3DLUT/train_GLC.py2 symbols

For agents

$ claude mcp add PPR10K \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact