Download VideoX-Fun/validation_samples/merge_folder.py from YFanwang/Backup: direct link, hf CLI and curl.
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https://huggingface.co/datasets/YFanwang/Backup/resolve/main/VideoX-Fun/validation_samples/merge_folder.py
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hf download hf://datasets/YFanwang/Backup/VideoX-Fun/validation_samples/merge_folder.py
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curl -L -o merge_folder.py https://huggingface.co/datasets/YFanwang/Backup/resolve/main/VideoX-Fun/validation_samples/merge_folder.py
9.69 kB
| # import os | |
| # import shutil | |
| # # --- 1. 配置您的文件夹路径 --- | |
| # # 源文件夹列表 (您的 x_part0, x_part1, ...) | |
| # SOURCE_FOLDERS = ['/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug_part0', '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug_part1', '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug_part2'] | |
| # # 您希望创建的新文件夹的名称 | |
| # TARGET_FOLDER = 'samples_vbench_all_dimension_aug' | |
| # # --- 脚本正文 --- | |
| # def merge_folders(source_dirs, target_dir): | |
| # """ | |
| # 合并所有源文件夹到目标文件夹,保持子目录结构。 | |
| # """ | |
| # print(f"开始合并文件夹到 '{target_dir}'...") | |
| # total_files_copied = 0 | |
| # total_files_skipped = 0 | |
| # # 1. 确保目标文件夹存在 | |
| # # os.makedirs(..., exist_ok=True) 会创建文件夹,如果它已经存在也不会报错 | |
| # os.makedirs(target_dir, exist_ok=True) | |
| # # 2. 遍历每一个源文件夹 (x_part0, x_part1, ...) | |
| # for source_dir in source_dirs: | |
| # print(f"\n--- 正在处理源文件夹: '{source_dir}' ---") | |
| # # 3. 遍历源文件夹中的所有文件和子文件夹 | |
| # # os.walk 会递归地遍历所有子目录 | |
| # # dirpath: 当前子目录的路径 (例如: 'x_part0/train/classA') | |
| # # dirnames: 当前子目录下的文件夹列表 | |
| # # filenames: 当前子目录下的文件列表 | |
| # for dirpath, dirnames, filenames in os.walk(source_dir): | |
| # # 4. 计算当前文件在目标文件夹中应有的路径 | |
| # # os.path.relpath 会计算相对路径 | |
| # # 例如: dirpath = 'x_part0/train/classA' | |
| # # source_dir = 'x_part0' | |
| # # relative_path = 'train/classA' | |
| # relative_path = os.path.relpath(dirpath, source_dir) | |
| # # 目标子目录的完整路径 | |
| # # 例如: 'x_merged/train/classA' | |
| # target_subdir = os.path.join(target_dir, relative_path) | |
| # # 5. 如果目标子目录不存在,则创建它 | |
| # if not os.path.exists(target_subdir): | |
| # os.makedirs(target_subdir) | |
| # # 6. 遍历当前子目录下的所有文件并复制 | |
| # for filename in filenames: | |
| # source_file = os.path.join(dirpath, filename) | |
| # target_file = os.path.join(target_subdir, filename) | |
| # # 7. 处理文件名冲突 | |
| # if os.path.exists(target_file): | |
| # print(f"警告: 文件 '{target_file}' 已存在,跳过。") | |
| # total_files_skipped += 1 | |
| # else: | |
| # try: | |
| # # 使用 shutil.copy2 来复制文件 | |
| # # copy2 会同时复制文件内容和元数据(如修改时间) | |
| # shutil.copy2(source_file, target_file) | |
| # total_files_copied += 1 | |
| # except Exception as e: | |
| # print(f"错误: 复制文件 {source_file} 时失败: {e}") | |
| # total_files_skipped += 1 | |
| # print("\n--- 合并完成 ---") | |
| # print(f"总共成功复制: {total_files_copied} 个文件") | |
| # print(f"总共跳过(因已存在或错误): {total_files_skipped} 个文件") | |
| # # --- 运行主函数 --- | |
| # if __name__ == "__main__": | |
| # # 检查源文件夹是否存在 | |
| # valid_source_folders = [] | |
| # for folder in SOURCE_FOLDERS: | |
| # if os.path.isdir(folder): | |
| # valid_source_folders.append(folder) | |
| # else: | |
| # print(f"警告: 找不到源文件夹 '{folder}',将跳过。") | |
| # if not valid_source_folders: | |
| # print("错误: 找不到任何有效的源文件夹。脚本终止。") | |
| # else: | |
| # merge_folders(valid_source_folders, TARGET_FOLDER) | |
| import os | |
| import shutil | |
| # --- 1. 请修改这里的配置 --- | |
| # 您要从中复制文件的五个源文件夹 | |
| # SOURCE_FOLDERS = [ | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30/ckpts/steps_ckpt_Oct14_6_3000', | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30-seed0/ckpts/steps_ckpt_Oct14_6_3000', | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30-seed84/ckpts/steps_ckpt_Oct14_6_3000', | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30-seed128/ckpts/steps_ckpt_Oct14_6_3000', | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30-seed1000/ckpts/steps_ckpt_Oct14_6_3000', | |
| # ] | |
| # SOURCE_FOLDERS = [ | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30-seed0/output_pretrain', | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30-seed42/output_pretrain', | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30-seed84/output_pretrain', | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30-seed128/output_pretrain', | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30-seed1000/output_pretrain', | |
| # ] | |
| seeds = ['r1', 'r2', 'r3', 'r4'] | |
| model_path = 'output_Oct16_1/steps_2000' | |
| model_name = 'oct16_1' | |
| folder_sub = 'all_dimension_aug' | |
| # folder_sub = 'all_category' | |
| # SOURCE_FOLDERS = [ | |
| # f'/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/{i}/wan-videos-t2v-512*288-30-seed-1/output_Oct14_6/steps_2000' for i in seeds | |
| # ] | |
| # SOURCE_FOLDERS.append('/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan-videos-t2v-512*288-30/output_Oct14_6/steps_2000') | |
| SOURCE_FOLDERS = [ | |
| f'/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_{folder_sub}/{i}/wan-videos-t2v-512*288-30-seed-1/{model_path}' for i in seeds | |
| ] | |
| SOURCE_FOLDERS.append(f'/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_{folder_sub}/wan-videos-t2v-512*288-30/{model_path}') | |
| # SOURCE_FOLDERS = [ | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_category/wan_rwft', | |
| # '/nfs/ywang29/Reward_finetuning/VideoX-Fun/validation_samples/samples_vbench_all_dimension_aug/wan_rwft' | |
| # ] | |
| # 您希望将所有文件汇集到的目标文件夹 | |
| TARGET_FOLDER = f'/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/sampled_videos/wan1.3b_rwft_{model_name}_2000' | |
| # --- 脚本正文 (通常不需要修改) --- | |
| def copy_all_files(source_dirs, target_dir): | |
| """ | |
| 将所有源文件夹中的全部文件递归复制到目标文件夹的根目录下。 | |
| """ | |
| print(f"开始复制文件到: {target_dir}") | |
| # 1. 确保目标文件夹存在 | |
| os.makedirs(target_dir, exist_ok=True) | |
| # 2. 初始化计数器 | |
| total_copied = 0 | |
| total_skipped = 0 | |
| total_errors = 0 | |
| # 3. 遍历每一个源文件夹 | |
| for source_dir in source_dirs: | |
| if not os.path.isdir(source_dir): | |
| print(f"\n警告: 源文件夹 '{source_dir}' 不存在,已跳过。") | |
| continue | |
| print(f"\n--- 正在处理文件夹: {source_dir} ---") | |
| # 4. 递归遍历 (os.walk) 源文件夹中的所有内容 | |
| # dirpath: 当前子目录的路径 | |
| # dirnames: 当前子目录下的文件夹列表 | |
| # filenames: 当前子目录下的文件列表 | |
| for dirpath, dirnames, filenames in os.walk(source_dir): | |
| # 5. 遍历当前子目录下的所有文件 | |
| for filename in filenames: | |
| # 构建完整的源文件路径 | |
| source_file_path = os.path.join(dirpath, filename) | |
| # 构建完整的目标文件路径(直接放在目标文件夹的根下) | |
| target_file_path = os.path.join(target_dir, filename) | |
| # 6. 检查文件名冲突:如果目标文件已存在 | |
| if os.path.exists(target_file_path): | |
| print(f" [跳过] 文件 '{filename}' 已存在于目标文件夹中。") | |
| total_skipped += 1 | |
| else: | |
| # 7. 执行复制 | |
| try: | |
| # shutil.copy2 会复制文件内容和元数据(如时间戳) | |
| shutil.copy2(source_file_path, target_file_path) | |
| print(f" [复制] {filename}") | |
| total_copied += 1 | |
| except Exception as e: | |
| print(f" [失败] 复制 '{source_file_path}' 时出错: {e}") | |
| total_errors += 1 | |
| print("\n--- 操作完成 ---") | |
| print(f"总共成功复制: {total_copied} 个文件") | |
| print(f"总共跳过(因文件名冲突): {total_skipped} 个文件") | |
| print(f"总共失败(因错误): {total_errors} 个文件") | |
| # --- 运行主函数 --- | |
| if __name__ == "__main__": | |
| copy_all_files(SOURCE_FOLDERS, TARGET_FOLDER) |