AIND Video Utils
Tools for working with video files using ffmpeg.
Prerequisites
This package requires ffmpeg and ffprobe to be installed and available on your PATH.
- Linux:
sudo apt install ffmpeg(Debian/Ubuntu) orsudo dnf install ffmpeg(Fedora) - macOS:
brew install ffmpeg - Windows: Download from ffmpeg.org and add to PATH
Installation
# uv
uv add aind-video-utils # core only
uv add "aind-video-utils[transcode]" # with transcode CLI
uv add "aind-video-utils[plotting]" # with QC plotting
# pip
pip install aind-video-utils
pip install "aind-video-utils[transcode]"
pip install "aind-video-utils[plotting]"
| Extra | Adds |
|---|---|
transcode |
pydantic-settings, rich — required for aind-transcode CLI |
plotting |
matplotlib, opencv — required for aind-video-qc CLI |
Usage
from aind_video_utils import probe, extract_luma_frame, extract_srgb_frame
# Probe video metadata
info = probe("video.mp4")
print(info["streams"][0]["pix_fmt"]) # e.g. "yuv420p", "gbrp"
# Extract luma (Y) plane at t=1.0s
luma, color_range, bit_depth = extract_luma_frame("video.mp4", 1.0)
# Extract an sRGB frame at t=1.0s
srgb = extract_srgb_frame("video.mp4", 1.0)
Encoding Profiles
This package is the canonical Python source for the AIND behavior video file standard encoding profiles. Four profiles are provided as frozen dataclass constants:
| Constant | Codec | Pixel Format | Container | Use Case |
|---|---|---|---|---|
OFFLINE_8BIT |
libx264 | yuv420p | mp4 | Long-term storage (default) |
OFFLINE_10BIT |
libx264 | yuv420p10le | mp4 | Long-term storage, 10-bit |
ONLINE_8BIT |
h264_nvenc | yuv420p | mkv | Real-time acquisition |
ONLINE_10BIT |
hevc_nvenc | p010le | mkv | Real-time acquisition, 10-bit |
from aind_video_utils import OFFLINE_8BIT, ONLINE_8BIT
# Inspect the exact ffmpeg args
OFFLINE_8BIT.ffmpeg_output_args()
ONLINE_8BIT.ffmpeg_input_args()
# Customize with replace()
fast = OFFLINE_8BIT.replace(codec_params=("-preset", "veryfast", "-crf", "18"))
For online acquisition pipelines that build their own ffmpeg command:
from aind_video_utils import ONLINE_8BIT
profile = ONLINE_8BIT
cmd = [
"ffmpeg",
*profile.ffmpeg_input_args(),
"-f", "rawvideo", "-pix_fmt", "bgr24",
"-s", f"{w}x{h}", "-r", str(fps),
"-i", "pipe:0",
*profile.ffmpeg_output_args(),
str(output_path),
]
Transcoding Python API
from aind_video_utils import transcode_video, OFFLINE_8BIT
# Simplest form — offline 8-bit with automatic colorspace fix
transcode_video(input_path, output_path)
# Explicit profile
transcode_video(input_path, output_path, profile=OFFLINE_8BIT)
# Custom profile with speed override
fast = OFFLINE_8BIT.replace(codec_params=("-preset", "veryfast", "-crf", "18"))
transcode_video(input_path, output_path, profile=fast)
# Skip automatic setparams probing
transcode_video(input_path, output_path, auto_fix_colorspace=False)
# Legacy h264-in-AVI sources: re-stamp timestamps so ffmpeg keeps every frame
transcode_video(input_path, output_path, normalize_cfr=True)
transcode_video() raises RuntimeError when the output holds a different
number of frames than ffmpeg decoded from the source; pass
fail_on_frame_drop=False to accept such an output.
Preview and Poster Derivatives
transcode_video() can also write a browser-playable preview and a JPEG
poster, as extra outputs of the same ffmpeg process:
from aind_video_utils import transcode_video
transcode_video(
input_path,
output_path, # clip.mp4 archival, frame-exact
preview_fps=30.0, # clip_preview.mp4 every N-th source frame
poster_at_seconds=1.0, # clip_poster.jpg sRGB still
)
N puts the preview between 25 and 35 fps, preferring a whole-number rate:
| Source | N | Preview |
|---|---|---|
| 1000 fps | 40 | 25 fps |
| 500 fps | 20 | 25 fps |
| 300 fps | 10 | 30 fps |
| 240 fps | 8 | 30 fps |
| 120 fps | 4 | 30 fps |
| 29.97 fps | 1 | 29.97 fps |
The poster branches off the source ahead of the BT.709 chain, because browsers read JPEG as sRGB. The behavior video standard gives the rationale for both.
To build the command yourself, attach derivatives to a conditioned profile.
Without with_setparams, the poster's zscale has no transfer function to
resolve, and its failure takes the archival encode down with it:
from aind_video_utils import (
OFFLINE_8BIT, probe, with_poster, with_preview, with_setparams,
)
probe_json = probe(input_path)
conditioned = with_setparams(OFFLINE_8BIT, probe_json)
profile = with_poster(with_preview(conditioned, probe_json), probe_json)
profile.output_paths(output_path) # [clip.mp4, clip_preview.mp4, clip_poster.jpg]
profile.ffmpeg_graph_args() # ["-filter_complex", "[0:v]setparams=...,split=2[chain][d1];..."]
profile.ffmpeg_output_groups() # one argument list per output, in the same order
ffmpeg_output_args() raises for a profile with derivatives, since one -vf
cannot branch. The aind-transcode CLI does not expose derivatives yet.
Transcode CLI
With the transcode extra installed, the aind-transcode command is available:
aind-transcode videos/ # defaults: offline-8bit, auto-fix
aind-transcode videos/ --profile offline-10bit # explicit profile
aind-transcode videos/ --preset veryfast # override speed
aind-transcode videos/ --crf 20 --preset veryfast # override quality + speed
aind-transcode videos/ --no_auto_fix_colorspace true # skip setparams probing
aind-transcode videos/ --normalize_cfr true # legacy h264-in-AVI sources
aind-transcode videos/ --jobs 4 # parallel workers
Settings can also be stored in aind-transcode.toml in the working directory:
input = ["videos/"]
output_dir = "transcoded"
profile = "offline-8bit"
overwrite = false
QC CLI
With the plotting extra installed, the aind-video-qc command is available:
# Compare linear-light input against BT.709-encoded output
aind-video-qc linear-to-bt709 input.mp4 output.mp4
# Compare ffmpeg luma extraction with OpenCV decode
aind-video-qc opencv input.mp4
# Options
aind-video-qc linear-to-bt709 input.mp4 output.mp4 --frame-time 1.5 --dpi 300 -o qc.png
QC Python API
from aind_video_utils.video_qc import compare_linear_to_bt709
fig = compare_linear_to_bt709("input.mp4", "output.mp4", frame_time=0)
fig.savefig("qc.png")
Development
uv sync # install all dev dependencies
./scripts/run_linters_and_checks.sh -c # run full lint + test suite
Contributing
We use Conventional Commits:
<type>(<scope>): <short summary>
Types: feat, fix, docs, ci, build, perf, refactor, test
For internal members, please create a branch. For external members, please fork the repository and open a pull request from the fork.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Metadata
Release files for aind-video-utils 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aind_video_utils-0.7.0.tar.gz | 240.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aind_video_utils-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 306.9 kB
Release files / aind_video_utils-0.7.0.tar.gz
| Download URL | aind_video_utils-0.7.0.tar.gz |
|---|---|
| Size | 240.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d36ec4036dc7c4ae08b519e23687cf430b342283b5be27a2e579fa3cebd4e14e
|
|
BLAKE2b-256 checksum How to use checksums |
d45af3aa6ed43566d638980f4749a58cbf46e8b49bc97bf69caccbb8e2e0cac6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.15 {"installer":{"name":"uv","version":"0.12.15","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Release files / aind_video_utils-0.7.0-py3-none-any.whl
| Download URL | aind_video_utils-0.7.0-py3-none-any.whl |
|---|---|
| Size | 66.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
768780577499ee2b2b537592e4c30afd058e2260a28bc0e2220789f35070ab0d
|
|
BLAKE2b-256 checksum How to use checksums |
3bb425dbd36b01d15a5af69280ac6fcbfd9b4f38e508e4a4fe03b18875a97a4c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.15 {"installer":{"name":"uv","version":"0.12.15","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|