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github.com/CommissarMa/CSRNet-pytorch @main

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27 symbols 113 edges 9 files 15 documented · 56%
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

make_layers
called by 2
model.py
denormalize
called by 1
utils.py
read_image_and_dmap
called by 1
dataset.py
create_train_dataloader
called by 1
dataset.py
create_test_dataloader
called by 1
dataset.py
get_params
called by 1
dataset.py
_initialize_weights
called by 1
model.py
generate_perspective_densitymap
called by 1
data_preparation/dmap_for_MALL.py

Shape

Method 13
Function 9
Class 5

Languages

Python100%

Modules by API surface

dataset.py13 symbols
model.py5 symbols
config.py3 symbols
test.py2 symbols
utils.py1 symbols
data_preparation/dmap_for_SHHB.py1 symbols
data_preparation/dmap_for_SHHA.py1 symbols
data_preparation/dmap_for_MALL.py1 symbols

For agents

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

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