Download dataset_code/sekai/preprocess/temp.py from SuperCS/useful_code: direct link, hf CLI and curl.
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https://huggingface.co/datasets/SuperCS/useful_code/resolve/e31e7b4c95a577cc71d9084c97befecffb3ebf56/dataset_code/sekai/preprocess/temp.py
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curl -L -o temp.py https://huggingface.co/datasets/SuperCS/useful_code/resolve/e31e7b4c95a577cc71d9084c97befecffb3ebf56/dataset_code/sekai/preprocess/temp.py
845 Bytes
| import pandas as pd | |
| import numpy as np | |
| import os | |
| input_csv = "/mnt/bn/yufan-dev-my/ysh/Ckpts/Lixsp11/0_final_sekai_dataset/yamls/temp_input_csv/sekai-real-walking-hq-193.csv" | |
| input_video_root = "/mnt/bn/yufan-dev-my/ysh/Ckpts/Lixsp11/0_final_sekai_dataset/sekai-real-walking-hq-193" | |
| # 读取并预处理 | |
| df = pd.read_csv(input_csv) | |
| keep_columns = ['videoFile', 'cameraFile', 'location', 'scene', 'crowdDensity', 'weather', 'timeOfDay'] | |
| df = df[keep_columns].copy() | |
| # 批量构建路径和key | |
| video_files = df['videoFile'].values | |
| paths = np.array([os.path.join(input_video_root, f) for f in video_files]) | |
| video_keys = np.array([os.path.splitext(os.path.basename(f))[0] for f in video_files]) | |
| # 添加新列 | |
| df['path'] = paths | |
| df['video_key'] = video_keys | |
| # 转换为字典列表 | |
| video_data = df.to_dict('records') | |
| import pdb;pdb.set_trace() |