Download VideoX-Fun/VBench/evaluate.sh from YFanwang/Backup: direct link, hf CLI and curl.
- Browser
- Download file 1.33 kB
-
https://huggingface.co/datasets/YFanwang/Backup/resolve/main/VideoX-Fun/VBench/evaluate.sh
- Command line
-
hf download hf://datasets/YFanwang/Backup/VideoX-Fun/VBench/evaluate.sh
-
curl -L -o evaluate.sh https://huggingface.co/datasets/YFanwang/Backup/resolve/main/VideoX-Fun/VBench/evaluate.sh
1.33 kB
| # Define the model list | |
| models=("lavie" "modelscope" "videocrafter" "cogvideo") | |
| # 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='./vbench_videos/' # TODO: change to local path | |
| # Loop over each model | |
| for model in "${models[@]}"; do | |
| # Loop over each dimension | |
| for i in "${!dimensions[@]}"; do | |
| # Get the dimension and corresponding folder | |
| dimension=${dimensions[i]} | |
| folder=${folders[i]} | |
| # Construct the video path | |
| videos_path="${base_path}${model}/${folder}" | |
| echo "$dimension $videos_path" | |
| # Run the evaluation script | |
| python evaluate.py --videos_path $videos_path --dimension $dimension | |
| done | |
| done | |