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.
This commit is contained in:
Oleksandr Bezdieniezhnykh
2026-03-28 01:17:45 +02:00
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# 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)