Buckets:
| # Define the dimension list | |
| dimensions=("subject_consistency" "background_consistency" "aesthetic_quality" "imaging_quality" "object_class" "multiple_objects" "color" "spatial_relationship" "scene" "temporal_style" "overall_consistency" "human_action" "temporal_flickering" "motion_smoothness" "dynamic_degree" "appearance_style") | |
| # Corresponding folder names | |
| folders=("subject_consistency" "scene" "overall_consistency" "overall_consistency" "object_class" "multiple_objects" "color" "spatial_relationship" "scene" "temporal_style" "overall_consistency" "human_action" "temporal_flickering" "subject_consistency" "subject_consistency" "appearance_style") | |
| # Base path for videos | |
| base_path='./sampled_videos/OpenSoraPlanv1-1' # TODO: change to local path | |
| # Loop over each dimension | |
| for i in "${!dimensions[@]}"; do | |
| # Get the dimension and corresponding folder | |
| dimension=${dimensions[i]} | |
| folder=${folders[i]} | |
| # Construct the video path | |
| videos_path="${base_path}/${folder}" | |
| echo "$dimension $videos_path" | |
| # Run the evaluation script | |
| if [ "$dimension" == "temporal_flickering" ]; then | |
| python vbench2_beta_long/eval_long.py --videos_path $videos_path --dimension $dimension --mode 'long_vbench_standard' --dev_flag --static_filter_flag | |
| else | |
| python vbench2_beta_long/eval_long.py --videos_path $videos_path --dimension $dimension --mode 'long_vbench_standard' --dev_flag | |
| fi | |
| done | |
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