export MKL_NUM_THREADS=1 export OMP_NUM_THREADS=1 cudaid=${object_detection_cudaid:=0} # use 0-th card as default export CUDA_VISIBLE_DEVICES=$cudaid if [ ! -d "/root/.cache/paddle/dataset/pascalvoc" ];then mkdir -p /root/.cache/paddle/dataset/pascalvoc
./data/pascalvoc/download.sh
cp -r ./data/pascalvoc/. /home/.cache/paddle/dataset/pascalvoc
fi
FLAGS_benchmark=true python train.py --for_model_ce=True --batch_size=64 --num_passes=2 --data_dir=/root/.cache/paddle/dataset/pascalvoc/ | python _ce.py
