Download VideoX-Fun/VBench/VBench-2.0/vbench2/instance_preservation.py from YFanwang/Backup: direct link, hf CLI and curl.
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- Download file 793 Bytes
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https://huggingface.co/datasets/YFanwang/Backup/resolve/main/VideoX-Fun/VBench/VBench-2.0/vbench2/instance_preservation.py
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hf download hf://datasets/YFanwang/Backup/VideoX-Fun/VBench/VBench-2.0/vbench2/instance_preservation.py
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curl -L -o instance_preservation.py https://huggingface.co/datasets/YFanwang/Backup/resolve/main/VideoX-Fun/VBench/VBench-2.0/vbench2/instance_preservation.py
793 Bytes
| import os | |
| os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' | |
| import json | |
| import cv2 | |
| import torch | |
| import vbench2.hack_registry | |
| import numpy as np | |
| from tqdm import tqdm | |
| from vbench2.utils import load_video, load_dimension_info, read_frames_decord_by_fps | |
| from vbench2.third_party.Instance_detector.test import compute_anomaly | |
| import logging | |
| logging.basicConfig(level = logging.INFO,format = '%(asctime)s - %(name)s - %(levelname)s - %(message)s') | |
| logger = logging.getLogger(__name__) | |
| def compute_instance_preservation(json_dir, device, submodules_dict, **kwargs): | |
| _, prompt_dict_ls = load_dimension_info(json_dir, dimension='instance_preservation', lang='en') | |
| all_results, video_results = compute_anomaly(prompt_dict_ls, device, submodules_dict) | |
| return all_results, video_results |