Files
Oleksandr Bezdieniezhnykh cbf370c765 Refactor task management structure and update documentation
- Changed the directory structure for task specifications to include a dedicated `todo/` folder within `_docs/02_tasks/` for tasks ready for implementation.
- Updated references in various skills and documentation to reflect the new task lifecycle, including changes in the `implementer` and `decompose` skills.
- Enhanced the README and flow documentation to clarify the new task organization and its implications for the implementation process.

These updates improve task management clarity and streamline the implementation workflow.
2026-03-28 01:17:45 +02:00

1.6 KiB

NMS Overlap Removal Tests

Task: AZ-162_test_nms Name: NMS Overlap Removal Tests Description: Implement 3 tests for non-maximum suppression — overlapping kept by confidence, non-overlapping preserved, chain overlap resolution Complexity: 1 point Dependencies: AZ-152_test_infrastructure Component: Blackbox Tests Jira: AZ-162 Epic: AZ-151

Problem

The NMS module removes overlapping detections based on IoU threshold (0.3), keeping the higher-confidence detection. Tests verify all overlap scenarios.

Outcome

  • 3 passing pytest tests in tests/test_nms.py

Scope

Included

  • BT-NMS-01: Overlapping detections — keep higher confidence (IoU > 0.3 → 1 kept)
  • BT-NMS-02: Non-overlapping detections — keep both (IoU < 0.3 → 2 kept)
  • BT-NMS-03: Chain overlap resolution (A↔B, B↔C → ≤ 2 kept)

Excluded

  • Integration with inference pipeline (separate task)

Acceptance Criteria

AC-1: Overlap removal Given 2 Detections at same position, confidence 0.9 and 0.5, IoU > 0.3 When remove_overlapping_detections() runs Then 1 detection returned (confidence 0.9)

AC-2: Non-overlapping preserved Given 2 Detections at distant positions, IoU < 0.3 When remove_overlapping_detections() runs Then 2 detections returned

AC-3: Chain overlap Given 3 Detections: A overlaps B, B overlaps C, A doesn't overlap C When remove_overlapping_detections() runs Then ≤ 2 detections; highest confidence per overlapping pair kept

Constraints

  • Detection objects constructed in-memory (no fixture files)
  • IoU threshold is 0.3 (from constants or hardcoded in NMS)