Refactor image loading in tests to use load_test_image helper

[LevelVoid]

What does this PR do?

This PR introduces a shared load_test_image helper in tests/test_processing_common.py and updates the affected test files to use it instead of directly downloading COCO fixture images via httpx.get(...) or requests.get(...) for the files mentioned in issue #47205.

By routing image loading through url_to_local_path(...), the tests consistently use the local fixture cache when available and remain aligned with the CI prefetch workflow.

Fixes #47205

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  to it if that's the case. (Link to the issue: Standardize test image fixture loading for COCO images #47205)
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Who can review?

@tarekziade As discussed on the issue, this PR implements the requested changes. I'd appreciate your review when you have a chance. Thank you!

[github-actions]

Thank you for your contribution 🤗!

CI Security Gate — automatic approval blocked

This PR was not automatically approved for CI because the security gate failed.

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• The PR touches 50 or more files — only PRs with fewer than 50 changed files are automatically approved
• A changed file is outside the allowed directories (src/, tests/, docs/, utils/), has a disallowed extension (only .py, .txt, .md permitted outside tests/ and docs/), or is not .md/.yml inside docs/
• A new high-severity security issue was detected in the changed Python files (Bandit check)

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[LevelVoid]

Hi @tarekziade,
Just a quick update: after the initial CI passed, I updated the branch with the latest main using GitHub's Update branch button as new commits landed.
Since then, the failing tests have changed across updates. The previous run failed in:
tests/models/speech_to_text/test_feature_extraction_speech_to_text.py::Speech2TextFeatureExtractionWithoutTorchaudioTest::test_dither
and after updating again with the latest main, the current failure is:
tests/cli/test_serve.py
with a pydantic_core.ValidationError related to InputTokensDetails.
These failures appear to be in areas unrelated to the changes in this PR, so I wanted to check whether you'd prefer that I wait for CI to stabilize or investigate these failures further.

[tarekziade]

@LevelVoid the linters where updated, can you run pip install -e [.dev] locally to get a fresh mlinter ? I also re-triggred CI

we can also remove the COCO urls from fetch_hub_objects_for_ci.py

[HuggingFaceDocBuilderDev]

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

[LevelVoid]

@tarekziade Thanks! I've updated my local development dependencies, removed the obsolete COCO URLs from fetch_hub_objects_for_ci.py, and pushed the changes. Please let me know if there's anything else you'd like me to update.

[ydshieh]

something like this to be removed - across the files changed in this PR 🙏

[LevelVoid]

sure, will remove those across all changed files along.

[tarekziade]

run-slow: aimv2, aria, deepseek_vl_hybrid, eomt, eomt_dinov3, fast_vlm, flava, fuyu, idefics, imagegpt, kimi_k25, layoutlmv2, lfm2_vl, llava, minimax_m3_vl, pix2struct

[github-actions]

Workflow Run ⚙️💔 This comment contains run-slow, but unknown error occurred and the workflow run aborted!

[github-actions]

---

CI recap

Dashboard: View test results in Grafana
Latest run: 29226737596:2
Result: success | Jobs: 15 | Tests: 170,779 | Failures: 0 | Duration: 15h 4m

[tarekziade]

let's remove this comment

[tarekziade]

Maybe we could use a constant for that dataset as a root url and a simple function load_coco_image

in the commont module:

COCO_DATASET_URL = "https://huggingface.co/datasets/hf-internal-testing/fixtures-coco/resolve/main/val2017"

def load_coco_image(image):
  ...

then here, just:

load_coco_image("000000039769.jpg")

[LevelVoid]

Yeah, this will simplify the codebase across multiple files. i will make the changes and push the code.

[tarekziade]

LGTM I have one small simplification idea

[github-actions]

[For maintainers] Suggested jobs to run (before merge)

run-slow: aimv2, aria, deepseek_vl_hybrid, eomt, eomt_dinov3, fast_vlm, flava, fuyu, idefics, imagegpt, kimi_k25, layoutlmv2, lfm2_vl, llava, minimax_m3_vl, pix2struct