scripts/v1_5/eval/coco_gen_llava_raw/vizwiz.sh

#!/bin/bash

python -m llava.eval.model_vqa_loader \
    --model-path /mnt/petrelfs/zhuchenglin/LLaVA/checkpoints_ft/coco_gen_200k/llava-v1.5-13b-pretrain \
    --model-base lmsys/vicuna-13b-v1.5 \
    --question-file ./playground/data/eval/vizwiz/llava_test.jsonl \
    --image-folder ./playground/data/eval/vizwiz/test \
    --answers-file ./playground/data/eval/vizwiz/answers/llava-v1.5-13b_coco_gen_200k.jsonl \
    --temperature 0 \
    --conv-mode vicuna_v1

python scripts/convert_vizwiz_for_submission.py \
    --annotation-file ./playground/data/eval/vizwiz/llava_test.jsonl \
    --result-file ./playground/data/eval/vizwiz/answers/llava-v1.5-13b_coco_gen_200k.jsonl \
    --result-upload-file ./playground/data/eval/vizwiz/answers_upload/llava-v1.5-13b_coco_gen_200k.json