#!/bin/bash

# 批量测试六个视角的shell脚本
# 基于eval.sh，只是加了循环和view_key参数

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/user/jfeng644/.mujoco/mujoco210/bin  
export PYTHONLOGLEVEL=ERROR
export ACCELERATE_LOG_LEVEL=error
export TRANSFORMERS_VERBOSITY=error
export HF_DATASETS_VERBOSITY=error

# export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115move_studymove/mvwan5frame/train_2025-10-30T18-50-53/checkpoint-30000
# export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115move_studymove/mvwan/train_2025-10-30T18-21-29/checkpoint-20000
# export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115move_studymove/singleview/train_2025-10-29T04-42-47/checkpoint-20000
# export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115move_studymove/mvwan/train_2025-10-30T18-21-29/checkpoint-40000
export STAGE1_MODEL_PATH=/data/user/jfeng644/code/vpp/output/svd3/livingellipse115move_studymove/mvwan13frame_continue/train_2025-11-02T19-43-17/checkpoint-60000

export GLOBAL_FRAME_NUM=13
# 定义要测试的视角列表
VIEW_KEYS=( "agentview_320_image"  "agentview_340_image" "agentview_40_image" "agentview_20_image" "agentview_image" )


# 遍历每个视角进行测试
for view_key in "${VIEW_KEYS[@]}"; do
    echo "正在测试视角: ${view_key}"
    CUDA_VISIBLE_DEVICES=0 python eval_sim.py \
        --checkpoint /data/user/jfeng644/code/manires/final_continue13frame_ckpt60_areg/checkpoints/epoch=0022-test_mean_score=0.840.ckpt \
        --output_dir /data/user/jfeng644/code/manires/final_continue13frame_ckpt60_areg/eval_epoch22/${view_key} \
        --view-key ${view_key}
    echo "------------------------------------------"
done