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Shared utilities for processing videos for sign language.

Project description

Simple Video Utils

Lightweight utilities for extracting frames and metadata from videos. Built for sign language processing workflows.

Python License

Goal

Provide simple, efficient tools for video processing in sign language research and applications. Uses PyAV for fast frame extraction with support for multiple formats (MP4, WebM) and remote URLs.

Installation

pip install simple-video-utils

Usage

Extract Video Metadata

from simple_video_utils.metadata import video_metadata

meta = video_metadata("video.mp4")
print(f"{meta.width}x{meta.height} @ {meta.fps} fps, {meta.duration}s")
# Output: VideoMetadata(width=1920, height=1080, fps=30.0, nb_frames=450, time_base='1/15360', duration=15.0)

Read Frames from File

from simple_video_utils.frames import read_frames_exact

# Read specific frame range (inclusive)
frames = list(read_frames_exact("video.mp4", start_frame=0, end_frame=10))
# Returns 11 frames as numpy arrays (H, W, 3) in RGB format

# Read from frame to end of video
frames = list(read_frames_exact("video.mp4", start_frame=5, end_frame=None))

# Downsample to a target frame rate (drops frames uniformly, never duplicates)
frames = list(read_frames_exact("video.mp4", fps=15))

Read Frames from Stream

from simple_video_utils.frames import read_frames_from_stream

# Useful for uploaded files or in-memory video data
with open("video.mp4", "rb") as f:
    meta, frames_gen = read_frames_from_stream(f)
    for frame in frames_gen:
        # Process each frame (numpy array)
        pass

Slice into Clips

from simple_video_utils.slicing import slice_video

# One MP4 (bytes) per (start, end) second range
clips = slice_video("video.mp4", [(0.0, 1.5), (2.0, 3.2)])

# Center-crop to a square and resize to 256x256 (e.g. for model input)
clips = slice_video("video.mp4", [(0.0, 1.5)], size=256)

Remote Videos

from simple_video_utils.metadata import video_metadata
from simple_video_utils.frames import read_frames_exact

# Works with remote URLs
url = "https://example.com/video.mp4"
meta = video_metadata(url)
frames = list(read_frames_exact(url, 0, 5))

Development

pip install -e ".[dev]"
pytest tests/
ruff check .

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