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# Copyright (c) 2024 Bytedance Ltd. and/or its affiliates | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
from tqdm import tqdm | |
from latentsync.utils.util import gather_video_paths_recursively | |
class FileslistWriter: | |
def __init__(self, fileslist_path: str): | |
self.fileslist_path = fileslist_path | |
with open(fileslist_path, "w") as _: | |
pass | |
def append_dataset(self, dataset_dir: str): | |
print(f"Dataset dir: {dataset_dir}") | |
video_paths = gather_video_paths_recursively(dataset_dir) | |
with open(self.fileslist_path, "a") as f: | |
for video_path in tqdm(video_paths): | |
f.write(f"{video_path}\n") | |
if __name__ == "__main__": | |
fileslist_path = "/mnt/bn/maliva-gen-ai-v2/chunyu.li/fileslist/data_v10_core.txt" | |
writer = FileslistWriter(fileslist_path) | |
writer.append_dataset("/mnt/bn/maliva-gen-ai-v2/chunyu.li/VoxCeleb2/high_visual_quality/train") | |
writer.append_dataset("/mnt/bn/maliva-gen-ai-v2/chunyu.li/HDTF/high_visual_quality/train") | |