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SsisyphusTao/Object-Detection-Knowledge-Distillation

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SsisyphusTao/Object-Detection-Knowledge-Distillation has 226 GitHub stars and 53 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-15 10:41 UTC. Last push 2026-10-10.

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À propos

An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

Apprentissage automatique

README.md

Original

Object Detection Knowledge Distillation(ODKD)

I’ve started Hand Mocap Distillation to continue exploring knowledge distillation for hand motion capture.

version coverage

The function of this branch is not complete. For ssd and yolov5 distillation, checking other branches.

Release edition is coming Soon...

Update

  1. The first edition is the refactor of branch mbv2-lite, which is an implementation of Chen, G. et al. (2017) ‘Learning efficient object detection models with knowledge distillation’ with SSD-lite structure.

  2. Replace part of code with pytorch api which has same functionality.

  3. Very friendly beginner guidance.

  4. System Architecture

odkd

Useage

$ python setup.py install --user

$ odkd-train ./training_config.yml -t

$ odkd-train training_config.yml
or
$ python -m torch.distributed.launch --nproc_per_node=2 `which odkd-train` training_config.yml

$ odkd-eval ${CHECKPOINTS_PATH}/${RUN_INDEX}/config.yml

TODO

  • Evaluation Module

  • LOG Module

  • Coco dataset support

  • Yolov5 distillation