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github.com/chenxi116/TF-phrasecut-public @main

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51 symbols 123 edges 12 files 0 documented · 0%
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

_conv
called by 3
LSTM_model.py
_conv
called by 2
RMI_model.py
visualize_seg
called by 2
main.py
generate_spatial_batch
called by 2
util/processing_tools.py
read_batch
called by 2
util/data_reader.py
build_graph
called by 1
RMI_model.py
train_op
called by 1
RMI_model.py
build_referit_batches
called by 1
build_batches.py

Shape

Function 32
Method 16
Class 3

Languages

Python100%

Modules by API surface

RMI_model.py8 symbols
LSTM_model.py8 symbols
util/loss.py6 symbols
util/io.py6 symbols
util/im_processing.py5 symbols
util/processing_tools.py4 symbols
util/data_reader.py4 symbols
util/text_processing.py3 symbols
main.py3 symbols
util/eval_tools.py2 symbols
build_batches.py2 symbols

For agents

$ claude mcp add TF-phrasecut-public \
  -- python -m otcore.mcp_server <graph>

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