Skip to content

Latest commit

 

History

History
33 lines (28 loc) · 1.05 KB

README.md

File metadata and controls

33 lines (28 loc) · 1.05 KB

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization

Installation

conda create --name detic python=3.8 -y
conda activate detic
conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c nvidia

# under your working directory
git clone git@github.com:facebookresearch/detectron2.git
cd detectron2
pip install -e .

cd ..
pip install -r requirements.txt

Benchmark evaluation and training

  • Training
python train_net.py --config-file ./configs/MEDet_COCO_CLIP_R50.yaml --num-gpus $GPUS$
  • Evaluation
python train_net.py --config-file ./configs/MEDet_COCO_CLIP_R50.yaml --eval-only --num-gpus $GPUS$
  • Open-vocabulary COCO
    Novel Base All Model
    MEDet 32.6 53.5 48.0 Model

Acknowledgement

Our code is developed from Detic