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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
import glob
from dataclasses import dataclass
import imageio
import numpy as np
from .log import log
@dataclass
class VideoData:
frames: np.ndarray # Shape: [B, H, W, C]
fps: int
duration: int # in seconds
def get_video_filepaths(input_dir: str) -> list[str]:
"""Get a list of filepaths for all videos in the input directory."""
paths = glob.glob(f"{input_dir}/**/*.mp4", recursive=True)
paths += glob.glob(f"{input_dir}/**/*.avi", recursive=True)
paths += glob.glob(f"{input_dir}/**/*.mov", recursive=True)
paths = sorted(paths)
log.debug(f"Found {len(paths)} videos")
return paths
def read_video(filepath: str) -> VideoData:
"""Read a video file and extract its frames and metadata."""
try:
reader = imageio.get_reader(filepath, "ffmpeg")
except Exception as e:
raise ValueError(f"Failed to read video file: {filepath}") from e
# Extract metadata from the video file
try:
metadata = reader.get_meta_data()
fps = metadata.get("fps")
duration = metadata.get("duration")
except Exception as e:
reader.close()
raise ValueError(f"Failed to extract metadata from video file: {filepath}") from e
# Extract frames from the video file
try:
frames = np.array([frame for frame in reader])
except Exception as e:
raise ValueError(f"Failed to extract frames from video file: {filepath}") from e
finally:
reader.close()
return VideoData(frames=frames, fps=fps, duration=duration)
def save_video(filepath: str, frames: np.ndarray, fps: int) -> None:
"""Save a video file from a sequence of frames."""
try:
writer = imageio.get_writer(filepath, fps=fps, macro_block_size=1)
for frame in frames:
writer.append_data(frame)
except Exception as e:
raise ValueError(f"Failed to save video file to {filepath}") from e
finally:
writer.close()
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