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[CI/Build] Make opencv-python-headless an optional dependency#40764

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rdwj:make-opencv-optional
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[CI/Build] Make opencv-python-headless an optional dependency#40764
rdwj wants to merge 1 commit into
vllm-project:mainfrom
rdwj:make-opencv-optional

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@rdwj rdwj commented Apr 24, 2026

Purpose

Make opencv-python-headless an optional dependency by moving it from requirements/common.txt to the existing "video" optional extra in setup.py (pip install vllm[video]).

On FIPS-enabled systems (e.g., Red Hat OpenShift), opencv-python-headless 4.13.0.90 crashes vLLM at startup with FATAL FIPS SELFTEST FAILURE because the wheel statically bundles OpenSSL 1.1.1k, which fails the kernel FIPS self-test. The version cannot be pinned back to 4.12.0.88 because 4.13 contains the fix for CVE-2026-22778 (CVSS 9.8 RCE), as noted when #33756 was rejected. The upstream opencv-python fix (opencv/opencv-python#1190) remains unmerged.

Since #39986 made PyAV the default video backend, opencv-python-headless is no longer required for the default code path. It is only needed when a user explicitly selects the opencv video backend via --media-io-kwargs '{"video": {"backend": "opencv"}}'.

Fixes #40741. Related: #33147, #33756, #39986.

Not a duplicate of #33756 — that PR proposed pinning opencv to <= 4.12.0.88 and was rejected because 4.13 contains the CVE-2026-22778 fix. This PR takes a different approach: making opencv entirely optional by moving it to the "video" extra, which avoids the CVE/FIPS conflict altogether.

Changes:

  • Remove opencv-python-headless from requirements/common.txt
  • Populate the existing empty "video" extra in setup.py with opencv-python-headless>=4.13.0
  • Add PlaceholderModule import guards in vllm/assets/video.py and vllm/benchmarks/datasets/datasets.py, matching the existing pattern in vllm/multimodal/video.py
  • Update s390x installation docs to note opencv is optional
  • Add pip install vllm[video] note to video sections of docs/features/multimodal_inputs.md, matching the existing pip install vllm[audio] pattern

AI disclosure: This PR was developed with AI assistance (Claude). All changes were reviewed and validated by the human submitter.

Test Plan

  • pip install -e . (without [video]) should succeed without installing opencv
  • pip install -e ".[video]" should install opencv-python-headless
  • python -c "import vllm" should succeed without opencv installed
  • tests/standalone_tests/lazy_imports.py should continue to pass (validates cv2 is not eagerly imported)
  • Selecting the opencv video backend without the package installed should raise a clear PlaceholderModule error
  • Existing test suites are unaffected since test requirements independently list opencv-python-headless

Test Result

Verified locally that all import cv2 statements in vllm/ source are guarded:

  • vllm/multimodal/video.py — already guarded (pre-existing)
  • vllm/assets/video.py — guarded by this PR (2 sites)
  • vllm/benchmarks/datasets/datasets.py — guarded by this PR (1 site)

No unguarded import cv2 remains. git diff --check reports no whitespace issues.


Essential Elements of an Effective PR Description Checklist
  • The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
  • The test plan, such as providing test command.
  • The test results, such as pasting the results comparison before and after, or e2e results
  • (Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.

CC @russellb

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Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

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mergify Bot commented Apr 24, 2026

Documentation preview: https://vllm--40764.org.readthedocs.build/en/40764/

@mergify mergify Bot added documentation Improvements or additions to documentation ci/build performance Performance-related issues cpu Related to CPU backends labels Apr 24, 2026
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Code Review

This pull request makes opencv-python-headless an optional dependency by moving it from the common requirements to a new video extra in setup.py. Documentation and code have been updated to support this change, including the use of PlaceholderModule for lazy loading. Feedback indicates that PlaceholderModule should be initialized with the package name opencv-python-headless rather than the module name cv2 to correctly trigger the intended installation instructions for users.

Comment thread vllm/assets/video.py
try:
import cv2
except ImportError:
cv2 = PlaceholderModule("cv2") # type: ignore[assignment]
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high

The PlaceholderModule logic in vllm/utils/import_utils.py provides a helpful error message by looking up the provided name in the project's optional dependencies. However, it expects the package name (e.g., opencv-python-headless), not the module name (cv2). By using cv2 here, the lookup will fail, and the user will receive a generic ImportError instead of the intended 'Please install vllm[video]' message. Using the package name as the placeholder name ensures the helpful error message is triggered when an attribute is accessed.

Suggested change
cv2 = PlaceholderModule("cv2") # type: ignore[assignment]
cv2 = PlaceholderModule("opencv-python-headless") # type: ignore[assignment]

Comment thread vllm/assets/video.py
try:
import cv2
except ImportError:
cv2 = PlaceholderModule("cv2") # type: ignore[assignment]
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high

The PlaceholderModule logic in vllm/utils/import_utils.py provides a helpful error message by looking up the provided name in the project's optional dependencies. However, it expects the package name (e.g., opencv-python-headless), not the module name (cv2). By using cv2 here, the lookup will fail, and the user will receive a generic ImportError instead of the intended 'Please install vllm[video]' message. Using the package name as the placeholder name ensures the helpful error message is triggered when an attribute is accessed.

Suggested change
cv2 = PlaceholderModule("cv2") # type: ignore[assignment]
cv2 = PlaceholderModule("opencv-python-headless") # type: ignore[assignment]

try:
import cv2
except ImportError:
cv2 = PlaceholderModule("cv2") # type: ignore[assignment]
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high

The PlaceholderModule logic in vllm/utils/import_utils.py provides a helpful error message by looking up the provided name in the project's optional dependencies. However, it expects the package name (e.g., opencv-python-headless), not the module name (cv2). By using cv2 here, the lookup will fail, and the user will receive a generic ImportError instead of the intended 'Please install vllm[video]' message. Using the package name as the placeholder name ensures the helpful error message is triggered when an attribute is accessed.

Suggested change
cv2 = PlaceholderModule("cv2") # type: ignore[assignment]
cv2 = PlaceholderModule("opencv-python-headless") # type: ignore[assignment]

Move opencv-python-headless from requirements/common.txt to the
existing "video" optional extra in setup.py. On FIPS-enabled systems,
opencv 4.13's bundled OpenSSL 1.1.1k triggers a fatal FIPS self-test
failure at startup (vllm-project#40741, vllm-project#33147). Since PyAV is now the default
video backend (vllm-project#39986), opencv is only needed when explicitly selecting
the opencv video backend.

Add PlaceholderModule import guards in vllm/assets/video.py and
vllm/benchmarks/datasets/datasets.py, matching the existing pattern
in vllm/multimodal/video.py.

Fixes vllm-project#40741

Co-authored-by: Claude
Signed-off-by: rdwj <wjackson@redhat.com>
@rdwj rdwj force-pushed the make-opencv-optional branch from 739425c to 84a43dc Compare April 24, 2026 03:56
@DarkLight1337 DarkLight1337 requested a review from Isotr0py April 24, 2026 05:25
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Since #39986 made PyAV the default video backend, opencv-python-headless is no longer required for the default code path. It is only needed when a user explicitly selects the opencv video backend via --media-io-kwargs '{"video": {"backend": "opencv"}}'.

Unfortunately, #40276 reverted pyav to optional dependency because of license issues, so we still need opencv for video decode. 😢

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rdwj commented Apr 24, 2026 via email

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[Feature]: Make opencv-python-headless an optional dependency for FIPS compliance

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