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github.com/datvuthanh/HybridNets @v1.0

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repository ↗ · DeepWiki ↗ · release v1.0 ↗ · + Follow
467 symbols 1,256 edges 59 files 116 documented · 25%
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README

HybridNets: End2End Perception Network

1) In readme we introduce all features we add 2) Share tips for training 3) FAQs 4) Acknowledgement (EfficientDet, Yolov5, YolOP, kmeans ratio, anchor visualize cli98) 5) We will use template yolov5 for our readme

Core symbols most depended-on inside this repo

prepare_settings
called by 32
encoders/timm_efficientnet.py
_mcfg
called by 24
encoders/timm_regnet.py
get
called by 21
utils/sync_batchnorm/comm.py
_compute_metric
called by 15
utils/smp_metrics.py
load_state_dict
called by 15
encoders/dpn.py
plot
called by 8
utils/utils.py
_get_pretrained_settings
called by 8
encoders/efficientnet.py
postprocess
called by 7
utils/utils.py

Shape

Method 228
Function 153
Class 86

Languages

Python100%

Modules by API surface

utils/utils.py39 symbols
utils/dice_loss_old.py37 symbols
utils/smp_metrics.py34 symbols
efficientdet/model.py31 symbols
efficientnet/utils.py26 symbols
efficientdet/yolop_utils.py20 symbols
utils/sync_batchnorm/batchnorm.py16 symbols
utils/sync_batchnorm/comm.py13 symbols
efficientnet/model.py13 symbols
utils/lovasz_loss.py12 symbols
encoders/timm_efficientnet.py12 symbols
train.py11 symbols

For agents

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

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