Add VLM.GOOGLE_GEMINI_3_5 enum and from_google_gemini_3_5 connector reusing the 2.5 parser, wire it into Detections.from_vlm, and salvage valid entries from partially malformed Gemini JSON arrays. Includes tests and changelog.
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
- Added `sv.mask_to_roi` as an explicit migration path for exclusive mask bounds
- Fixed COCO, CreateML, and Pascal VOC export validation to reject ambiguous or colliding dataset paths before writing
- Fixed in-memory `DetectionDataset` split and merge behavior
- Fixed `supervision` imports to avoid loading ByteTrack until it is used
- Fixed detection conversion helpers to support coordinate-convention migration while preserving legacy inclusive defaults
- Fixed Azure tag mapping, anchor rounding, and line-zone smoothing to avoid incorrect or ghost detections
- Fixed video processing shutdown handling for timeout and full-queue cases
- Improved downloader, validator, documentation, and regression coverage for the shipped dataset, detection, annotator, image, and video behavior
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Co-authored-by: Codex <codex@openai.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
- `from_tensorflow` scaled boxes in place on the array returned by `.numpy()`, which can share memory with the source tensor — corrupting caller data and double-scaling on a repeat call; copy before scaling
- `from_lmm` raised a bare `KeyError` for `MOONDREAM` and `QWEN_3_VL`, which the enum and docstring advertise; map both to their `VLM` members
- `from_deepseek_vl_2` returned a `(0,)`-shaped `xyxy` on empty output, so a zero-detection response crashed the `Detections` constructor; return `(0, 4)` like the other parsers
- `extract_ultralytics_masks` binarized bilinear-resized masks with `> 0`, dilating every mask at object boundaries; threshold at 0.5 to match Ultralytics
- add connector coverage: fake-result shims and round-trip tests (N>1, N=1, empty) for the nine previously untested `from_*` connectors and the `detection/tools/transformers.py` processors; one empty-`segments_info` panoptic case is xfail-marked pending a separate fix
* test(ci-fix): drop deprecated Pillow mode arg from panoptic helpers
* test(coverage): add from_qwen_3_vl end-to-end parametrized tests
* test(quality): harden test isolation, xfail strictness, and kwarg forwarding
* fix(detection): fix class_name empty dtype; annotate mask threshold asymmetry
* chore: ruff-format cleanup (blank lines)
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Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
Two ways the VLM parsers crashed on adversarial model output instead of
degrading gracefully (the contract they already honor for invalid JSON):
1. Gemini 2.5: a mask value that is not a 'data:image/png;base64,' string
appended an empty mask and then 'continue'd, skipping the confidence
handler at the bottom of the loop. The item's box was recorded but its
confidence was not, so the confidence array ended up shorter than xyxy
and Detections.from_vlm raised a shape ValueError. Replaced the
'continue' with an if/else so the confidence handler always runs.
2. Gemini 2.0 / Gemini 2.5 / Qwen 2.5: valid JSON whose top level is not a
list, or whose elements are not dicts (e.g. '[1, 2, 3]'), raised
TypeError from the 'key not in item' membership test. Added a top-level
list guard (Gemini 2.0/2.5; Qwen already had one) and a per-element
dict guard so wrong-shaped JSON degrades to empty Detections.
Add regression tests for the mask/confidence alignment and for graceful
degradation across all three parsers.
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Co-authored-by: jirka <6035284+Borda@users.noreply.github.com>
Co-authored-by: OpenAI Codex <codex@openai.com>
Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
When from_paligemma or from_google_gemini_2_0 find no detections (no regex
matches, JSON decode error, or empty bounding-box list), they previously
returned None for class_id. All other early-exit and filter paths already
return a zero-length ndarray of dtype int. This inconsistency causes
downstream AttributeError when callers unconditionally call .shape or
iterate over the result.
Affected paths:
- from_paligemma: matches.shape[0] == 0 branch
- from_google_gemini_2_0: JSONDecodeError branch and len(xyxy) == 0 branch
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Co-authored-by: YousefZahran1 <youssefzahran.y@gmail.com>
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
* refactor: reorganize project structure and update module imports
* configure setuptools to use 'src' layout and adjust package discovery
* refactor: move tests to `tests` directory and update imports accordingly
* update lint and mypy configurations to align with `src` and `tests` structure
* update test imports to use corrected `tests.helpers` module path
* fix(pre_commit): 🎨 auto format pre-commit hooks
pre-commit-ci[bot]
Piotr Skalski
Jirka Borovec
Ruben
Youssef Ibrahim