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github.com/AIR-DISCOVER/Omni-PQ @main

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433 symbols 1,178 edges 60 files 153 documented · 35%
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

load_state_dict
called by 11
utils/lr_scheduler.py
nn_distance
called by 8
utils/nn_distance.py
state_dict
called by 8
utils/lr_scheduler.py
smoothl1_loss
called by 8
models/utils/losses.py
index_points
called by 7
models/utils/pointnet_util.py
visualize_pdf
called by 5
fit.py
single_scene_precision_recall
called by 5
utils/metric_util.py
precision_recall
called by 5
utils/metric_util.py

Shape

Function 215
Method 155
Class 63

Languages

Python97%
C++3%

Modules by API surface

utils/pc_util.py30 symbols
pointnet2/pointnet2_utils.py27 symbols
models/ap_helper_pq.py27 symbols
models/utils/pointnet_util.py26 symbols
pointnet2/pytorch_utils.py25 symbols
models/transformer.py22 symbols
fit.py21 symbols
pointnet2/pointnet2_modules.py19 symbols
utils/box_util.py17 symbols
models/pq_transformer.py15 symbols
train.py14 symbols
models/loss_helper_pq.py14 symbols

For agents

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

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