ROSE-Dataset / Env1 /generate_json.py
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import os
import json
# 需要索引的环境列表
env_list = ['Env2'] # 你的环境列表
# 存储视频索引的列表
video_index_list = []
def list_files_from_local(directory):
"""从本地目录获取所有 .mp4 视频文件"""
if not os.path.exists(directory): # 目录不存在时返回空列表
return []
return sorted([f for f in os.listdir(directory) if f.endswith('.mp4')])
def generate_video_index(base_path):
"""自动匹配 unedited, masked, edited 视频,并生成 JSON 文件"""
for env in env_list:
edited_dir = os.path.join(base_path, f"{env}_Edited")
masked_dir = os.path.join(base_path, f"{env}_Masked")
unedited_dir = os.path.join(base_path, f"{env}_Unedited")
# 获取未编辑视频文件名(作为基准)
unedited_videos = list_files_from_local(unedited_dir)
for video_name in unedited_videos:
edited_path = os.path.join(edited_dir, video_name)
masked_path = os.path.join(masked_dir, video_name)
unedited_path = os.path.join(unedited_dir, video_name)
# 确保对应的 mask 和 edited 视频文件存在
if os.path.exists(masked_path) and os.path.exists(edited_path):
video_index_list.append({
"edited": edited_path,
"masked": masked_path,
"unedited": unedited_path
})
# 运行索引生成
base_folder = "/mnt/f/Env2/" # 替换为你的数据存储路径
generate_video_index(base_folder)
# 将索引写入 JSON 文件
json_filename = os.path.join(base_folder, "video_dataset_index.json")
with open(json_filename, "w", encoding="utf-8") as f:
json.dump(video_index_list, f, indent=4)
print(f"JSON 索引文件已生成:{json_filename},共索引 {len(video_index_list)} 个视频对。")