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RegNet-TF

This is an unofficial implementation of RegNet (Designing Network Design Spaces).

Requirements

(TODO : requirements.txt and Dockerfile for the image of fixed environment.)

  • python >= 3.6
  • tensorflow >= 2.2

Training

Set design space

  • First, set the design space in config.yml
  • Second, sample models in the design space
>>> python search_space.py --config /path/of/config.yml --num_model $NUM_MODEL --model_name $MODEL_NAME

or

>>> ./search.sh
  • Then, train models which are already set
>>> ./main.sh

Evaluation

(TODO : shell command for evluation)

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TF 2.x implementation of RegNet (Designing Network Design Spaces, CVPR 2020).

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