Create CONTRIBUTING.md file#10
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[resolve #10] /review finding by qa-specialist (report: .temp/output-review-from-inference-rle-mask-2026-04-14.md): "No test covers DetectionDataset.from_coco with compressed RLE iscrowd annotations..." --- Co-authored-by: Claude Code <noreply@anthropic.com>
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…oader Confirm that 'train/image.jpg' passes all three guards without error, guarding against false-positive regressions where valid nested paths are accidentally rejected. [resolve roboflow#10] /review finding by qa-specialist (report: .temp/output-review-fix-coco-loader-path-containment-2026-04-17.md): "No positive test for valid nested file_name — false-positive regression undetectable" --- Co-authored-by: Claude Code <noreply@anthropic.com>
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- Rename TestResize → TestCompactMaskResize for naming consistency with other test classes in test_compact_mask.py - Add test_join_true_true_junction_no_zero_run targeting the True/True boundary merge introduced in the prior fix - Move _PARALLEL_THRESHOLD to module level alongside _L3_DENSITY_THRESHOLD - Cap ThreadPoolExecutor max_workers=min(n, os.cpu_count() or 4) to avoid thread contention in library code - Document identity-resize shallow-copy semantics in inline comment [resolve #3] @Copilot (gh): "TestResize is a very generic class name..." [resolve #9] /review by sw-engineer: "_PARALLEL_THRESHOLD constant buried in method body" [resolve #10] /review by sw-engineer: "ThreadPoolExecutor() with no max_workers argument" [resolve #11] /review by sw-engineer: "identity resize does shallow copy of list(self._rles)" [resolve #12] /review by qa-specialist: "_rle_join_cols has no test for True/True junction" --- Co-authored-by: Claude Code <noreply@anthropic.com>
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…etections Three additions: - Assert cv2.imwrite return value in _tiny_detection_dataset helper so codec failures produce explicit errors rather than cryptic downstream ones - Fix _tiny_detection_dataset xyxy shape for dets_per_image=0 (was (0,), now (0,4) via reshape — required by Detections validator) - test_save_coco_annotations_annotation_image_id_references_correct_image: verifies every annotation.image_id references a known image id after chaining with a non-default starting_image_id - test_save_coco_annotations_zero_annotation_images: pins behaviour for images with zero detections — image ids advance, annotation list empty [resolve roboflow#6] /review finding by foundry:qa-specialist (report: .reports/review/2026-05-22T18-44-11Z/review-report.md): [resolve roboflow#7] /review finding by foundry:qa-specialist (report: .reports/review/2026-05-22T18-44-11Z/review-report.md): [resolve roboflow#10] @Copilot (gh comment #3290385653): --- Co-authored-by: Claude Code <noreply@anthropic.com>
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- [resolve roboflow#4] test_with_nmm_falls_back_to_box_nmm_without_obb_data: regression guard that non-OBB Detections still collapse via box NMM path. Challenge: evidence=VALID suggestion=VALID resolution=as-suggested - [resolve roboflow#10] boundary tests: empty/single, iou_threshold=0.0/1.0, IOS metric end-to-end NMS, and OBB NMM empty/single — converted threshold test to parametrize(expected_keep) removing if-branch from test body. Challenge: evidence=VALID suggestion=VALID resolution=as-suggested - Added test_with_nmm_obb_merged_xyxy_matches_winner_aabb verifying the item roboflow#3 contract: merged xyxy == winner's AABB, not union of all members. [resolve group] PR roboflow#2303 — items 4, 10 --- Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com> Co-authored-by: OpenAI Codex <codex@openai.com>
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Description
This PR introduces a new CONTRIBUTING.md file that outlines contribution guidelines for this project.
Type of change
How has this change been tested, please provide a testcase or example of how you tested the change?
N/A
Any specific deployment considerations
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Docs
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