dataset_code/sekai/preprocess/temp.py

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()