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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")
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