rename to dzgcoop

scripts/dzgcoop/base2new_test.sh

@@ -0,0 +1,53 @@
+#!/bin/bash
+
+
+# custom config
+DATA="~/Datasets/CoOp"
+TRAINER=DZGCoOp
+
+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