# #!/bin/bash
# #SBATCH --job-name=eval
# #SBATCH --output=job/internvl3_8b_fine_tune_coco_job_output_%j.txt
# #SBATCH --error=job/internvl3_8b_fine_tune_coco_job_error_%j.txt
# #SBATCH --time=20:00:00
# #SBATCH --ntasks=1
# #SBATCH --partition=camera-long
# #SBATCH --ntasks-per-node=1
# #SBATCH --nodes=1
# #SBATCH --gres=gpu:h100:1
# #SBATCH --mail-type=ALL
# #SBATCH --mail-user=ym621@ic.ac.uk
# #SBATCH --qos=normal

# cd /mnt/data-alpha-sg-01/team-camera/home/m50048399/transfered/ye_project/Project2/POMA_BENCH
# /home/m50048399/anaconda3/bin/conda init bash
# source ~/.bashrc
# conda activate sceneverse
# export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True

python eval_view_retrieval.py \
  --jsonl sr3d_retrieval.jsonl \
  --scan_root /mnt/new_drive/retreival/light_scannet/light_scannet \
  --device cuda \
  --ckpt /home/m50048399/transfered/ye_project/Project2/results/sceneverse_scannet_exp1_b64_Pretrain_all_scannet_training_run1/2026-01-19-23:46:36.901933/ckpt/ckpt_20.pth \
  --batch_views 32

# python eval_scene_retrieval.py \
#   --caption_json scene_cap.json \
#   --scan_root /mnt/new_drive/retreival/light_scannet/light_scannet \
#   --model_root fg-clip-base \
#   --ckpt /home/m50048399/transfered/ye_project/Project2/results/sceneverse_scannet_exp1_b128_Pretrain_all_scannet_training_run1/withgeoalign/ckpt/ckpt_100.pth \
#   --batch_views 32