File size: 1,312 Bytes
8c6b5ee |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 |
#!/bin/bash
# custom config
DATA="/path/to/dataset/folder"
TRAINER=PromptSRC
DATASET=$1
SEED=$2
CFG=vit_b16_c2_ep20_batch4_4+4ctx
SHOTS=16
LOADEP=20
SUB=new
COMMON_DIR=${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 |