Release of PromptSRC with pretrained models.

scripts/cocoop/base2new_test.sh

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+#!/bin/bash
+
+#cd ../..
+
+# custom config
+DATA="/path/to/dataset/folder"
+TRAINER=CoCoOp
+
+DATASET=$1
+SEED=$2
+
+CFG=vit_b16_c4_ep10_batch1_ctxv1
+SHOTS=16
+LOADEP=10
+SUB=new
+
+
+COMMON_DIR=${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

scripts/cocoop/base2new_train.sh

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+#!/bin/bash
+
+#cd ../..
+
+# custom config
+DATA="/path/to/dataset/folder"
+TRAINER=CoCoOp
+
+DATASET=$1
+SEED=$2
+
+CFG=vit_b16_c4_ep10_batch1_ctxv1
+SHOTS=16
+
+
+DIR=output/base2new/train_base/${DATASET}/shots_${SHOTS}/${TRAINER}/${CFG}/seed${SEED}
+if [ -d "$DIR" ]; then
+    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} \
+    DATASET.NUM_SHOTS ${SHOTS} \
+    DATASET.SUBSAMPLE_CLASSES base
+else
+    echo "Run this 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} \
+    DATASET.NUM_SHOTS ${SHOTS} \
+    DATASET.SUBSAMPLE_CLASSES base
+fi

scripts/cocoop/xd_test.sh

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+#!/bin/bash
+
+#cd ../..
+
+# custom config
+DATA=/path/to/datasets
+TRAINER=CoCoOp
+
+DATASET=$1
+SEED=$2
+
+CFG=vit_b16_c4_ep10_batch1_ctxv1
+SHOTS=16
+
+
+DIR=output/evaluation/${TRAINER}/${CFG}_${SHOTS}shots/${DATASET}/seed${SEED}
+if [ -d "$DIR" ]; then
+    echo "Results are available in ${DIR}. Skip this job"
+else
+    echo "Run this 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 ${DIR} \
+    --model-dir output/imagenet/${TRAINER}/${CFG}_${SHOTS}shots/seed${SEED} \
+    --load-epoch 10 \
+    --eval-only
+fi

scripts/cocoop/xd_train.sh

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+#!/bin/bash
+
+#cd ../..
+
+# custom config
+DATA=/path/to/datasets
+TRAINER=CoCoOp
+
+DATASET=imagenet
+SEED=$1
+
+CFG=vit_b16_c4_ep10_batch1_ctxv1
+SHOTS=16
+
+
+DIR=output/${DATASET}/${TRAINER}/${CFG}_${SHOTS}shots/seed${SEED}
+if [ -d "$DIR" ]; then
+    echo "Results are available in ${DIR}. Skip this job"
+else
+    echo "Run this 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} \
+    DATASET.NUM_SHOTS ${SHOTS}
+fi