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/MME/llava_mme.jsonl \ | |
--image-folder ./playground/data/eval/MME/MME_Benchmark_release_version \ | |
--answers-file ./playground/data/eval/MME/answers/llava-v1.5-13b_coco_gen_200k.jsonl \ | |
--temperature 0 \ | |
--conv-mode vicuna_v1 | |
cd ./playground/data/eval/MME | |
python convert_answer_to_mme.py --experiment llava-v1.5-13b_coco_gen_200k | |
cd eval_tool | |
python calculation.py --results_dir answers/llava-v1.5-13b_coco_gen_200k | |