-o Global.mode=train \

-o Global.dataset_dir=./dataset/cls_flowers_examples \

-o Global.output=resnet50_output \

-o Train.epochs_iters=2

# inference Reset50

python main.py -c paddlex/configs/modules/image_classification/ResNet50.yaml \

-o Global.mode=predict \

-o Predict.model_dir="./resnet50_output/best_model/inference" \

echo "End Reset50"

echo "Start DeepLabv3+"

-o Global.mode=train \

-o Global.dataset_dir=./dataset/seg_optic_examples \

-o Global.output=deeplabv3p_output \

-o Train.epochs_iters=2

# inference DeepLabv3+

python main.py -c paddlex/configs/modules/semantic_segmentation/Deeplabv3_Plus-R50.yaml \

-o Global.mode=predict \

-o Predict.model_dir="./deeplabv3p_output/best_model/inference" \

echo "End DeepLabv3+"

}

;;

hyg_dcu_test)

parallel_test

;;

nv_cicheck_coverage)

parallel_test