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base2new_test_vpt.sh
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base2new_test_vpt.sh
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#!/bin/bash
#cd ../..
# custom config
DATA="/path/to/dataset/folder"
TRAINER=VPT
DATASET=$1
SEED=$2
CFG=vit_b16_c2_ep5_batch4_4
SHOTS=16
LOADEP=5
SUB=new
COMMON_DIR=${DATASET}/shots_${SHOTS}/${TRAINER}/${CFG}/seed${SEED}
MODEL_DIR=output/base2new/train_base/${COMMON_DIR}
DIR=output/base2new/test_${SUB}/${COMMON_DIR}
if [ -d "$DIR" ]; then
echo "Evaluating model"
echo "Results are available in ${DIR}. Resuming..."
python train.py \
--root ${DATA} \
--seed ${SEED} \
--trainer ${TRAINER} \
--dataset-config-file configs/datasets/${DATASET}.yaml \
--config-file configs/trainers/${TRAINER}/${CFG}.yaml \
--output-dir ${DIR} \
--model-dir ${MODEL_DIR} \
--load-epoch ${LOADEP} \
--eval-only \
DATASET.NUM_SHOTS ${SHOTS} \
DATASET.SUBSAMPLE_CLASSES ${SUB}
else
echo "Evaluating model"
echo "Runing the first phase job and save the output to ${DIR}"
python train.py \
--root ${DATA} \
--seed ${SEED} \
--trainer ${TRAINER} \
--dataset-config-file configs/datasets/${DATASET}.yaml \
--config-file configs/trainers/${TRAINER}/${CFG}.yaml \
--output-dir ${DIR} \
--model-dir ${MODEL_DIR} \
--load-epoch ${LOADEP} \
--eval-only \
DATASET.NUM_SHOTS ${SHOTS} \
DATASET.SUBSAMPLE_CLASSES ${SUB}
fi