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github.com/Tencent/FaceDetection-DSFD @main

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221 symbols 561 edges 23 files 61 documented · 28%
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

detect_face
called by 12
widerface_val.py
infer
called by 10
demo.py
init_priors
called by 5
face_ssd.py
mio_module
called by 5
face_ssd.py
part_forward
called by 5
layers/modules/multibox_loss.py
_make_layer
called by 4
model/resnet.py
decode
called by 4
layers/box_utils.py
_upsample_product
called by 3
face_ssd.py

Shape

Method 127
Class 47
Function 47

Languages

Python100%

Modules by API surface

utils/augmentations.py65 symbols
model/resnet.py23 symbols
face_ssd.py20 symbols
data/widerface.py15 symbols
model/detnet_backbone.py13 symbols
data/coco.py12 symbols
layers/box_utils.py11 symbols
data/voc0712.py11 symbols
model/fpn.py9 symbols
data/__init__.py9 symbols
widerface_val.py8 symbols
layers/modules/multibox_loss.py7 symbols

For agents

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

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