Video-LLaVA / scripts /v1_5 /eval /eval_image_vqav2.sh
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#!/bin/bash
gpu_list="${CUDA_VISIBLE_DEVICES:-0}"
IFS=',' read -ra GPULIST <<< "$gpu_list"
CHUNKS=${#GPULIST[@]}
CKPT_NAME="Video-LLaVA-7B"
CKPT="checkpoints/${CKPT_NAME}"
SPLIT="llava_vqav2_mscoco_test-dev2015"
EVAL="eval"
for IDX in $(seq 0 $((CHUNKS-1))); do
CUDA_VISIBLE_DEVICES=${GPULIST[$IDX]} python3 -m llava.eval.model_vqa_loader \
--model-path ${CKPT} \
--question-file ${EVAL}/vqav2/$SPLIT.jsonl \
--image-folder ${EVAL}/vqav2/test2015 \
--answers-file ${EVAL}/vqav2/answers/$SPLIT/${CKPT_NAME}/${CHUNKS}_${IDX}.jsonl \
--num-chunks $CHUNKS \
--chunk-idx $IDX \
--temperature 0 \
--conv-mode vicuna_v1 &
done
wait
output_file=${EVAL}/vqav2/answers/$SPLIT/${CKPT_NAME}/merge.jsonl
# Clear out the output file if it exists.
> "$output_file"
# Loop through the indices and concatenate each file.
for IDX in $(seq 0 $((CHUNKS-1))); do
cat ${EVAL}/vqav2/answers/$SPLIT/${CKPT_NAME}/${CHUNKS}_${IDX}.jsonl >> "$output_file"
done
python3 scripts/convert_vqav2_for_submission.py --split $SPLIT --ckpt ${CKPT_NAME} --dir ${EVAL}/vqav2