Release of PromptSRC with pretrained models.

scripts/coop/eval.sh

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+#!/bin/bash
+
+#cd ../..
+
+# custom config
+DATA=/path/to/datasets
+TRAINER=CoOp
+SHOTS=16
+NCTX=16
+CSC=False
+CTP=end
+
+DATASET=$1
+CFG=$2
+
+for SEED in 1 2 3
+do
+    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 output/evaluation/${TRAINER}/${CFG}_${SHOTS}shots/nctx${NCTX}_csc${CSC}_ctp${CTP}/${DATASET}/seed${SEED} \
+    --model-dir output/imagenet/${TRAINER}/${CFG}_${SHOTS}shots/nctx${NCTX}_csc${CSC}_ctp${CTP}/seed${SEED} \
+    --load-epoch 50 \
+    --eval-only \
+    TRAINER.COOP.N_CTX ${NCTX} \
+    TRAINER.COOP.CSC ${CSC} \
+    TRAINER.COOP.CLASS_TOKEN_POSITION ${CTP}
+done

scripts/coop/main.sh

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+#!/bin/bash
+
+#cd ../..
+
+# custom config
+DATA=/path/to/datasets
+TRAINER=CoOp
+
+DATASET=$1
+CFG=$2  # config file
+CTP=$3  # class token position (end or middle)
+NCTX=$4  # number of context tokens
+SHOTS=$5  # number of shots (1, 2, 4, 8, 16)
+CSC=$6  # class-specific context (False or True)
+
+for SEED in 1 2 3
+do
+    DIR=output/${DATASET}/${TRAINER}/${CFG}_${SHOTS}shots/nctx${NCTX}_csc${CSC}_ctp${CTP}/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} \
+        TRAINER.COOP.N_CTX ${NCTX} \
+        TRAINER.COOP.CSC ${CSC} \
+        TRAINER.COOP.CLASS_TOKEN_POSITION ${CTP} \
+        DATASET.NUM_SHOTS ${SHOTS}
+    fi
+done