Add host implementation of Detection parser

[aljazkonec1]

Purpose

This PR adds host side implementation of the updated Detection parser. This is necessary for parsing Segmentation head outputs when using RVC2 due to high computational cost.

Specification

None / not applicable

Dependencies & Potential Impact

None / not applicable

Deployment Plan

None / not applicable

Testing & Validation

The detection_parser_test label expanded with onhost label. Tests passed.

[moratom]

LGTM if tests pass

[Copilot]

Pull Request Overview

This PR adds host-side implementation for the Detection parser to handle parsing of Segmentation head outputs on RVC2 devices where on-device processing is computationally expensive. The implementation introduces utilities for tensor data access and YOLO decoding algorithms (v3, v5, v6, v8, etc.) that can run on the host instead of the device.

Key changes:

• Added NNDataViewer utility class for safe tensor data access across different storage orders and data types
• Implemented multiple YOLO decoding families (R1AF, v3AB, v5AB, TLBR) with support for segmentation and keypoint decoding
• Extended DetectionParser node to support host-side execution via setRunOnHost() API

Reviewed Changes

Copilot reviewed 16 out of 16 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
tests/CMakeLists.txt	Expanded test labels to include ondevice and platform-specific tags
src/pipeline/utilities/NNDataViewer.hpp	New utility class for accessing tensor data with different storage orders and data types
src/pipeline/utilities/DetectionParser/DetectionParserUtils.hpp	Header declaring detection parsing utility functions for various YOLO families
src/pipeline/utilities/DetectionParser/DetectionParserUtils.cpp	Implementation of YOLO decoding algorithms, NMS, and segmentation/keypoint processing
src/pipeline/node/DetectionParser.cpp	Added host-side run loop and decoder dispatch logic
src/pipeline/datatype/ImgDetectionsT.cpp	Added type validation for segmentation mask input
include/depthai/pipeline/node/DetectionParser.hpp	Extended node interface to support host execution mode
include/depthai/pipeline/datatype/ImgDetectionsT.hpp	Updated documentation for setCvSegmentationMask
examples/python/DetectionNetwork/detection_and_segmentation.py	Updated example to conditionally enable host parsing on RVC2
examples/python/DetectionNetwork/detection_and_keypoints.py	Updated model references and camera settings
examples/cpp/DetectionNetwork/detection_and_segmentation.cpp	Updated C++ example with RVC2 detection and model selection
examples/cpp/DetectionNetwork/detection_and_keypoints.cpp	Updated model reference to nano variant
examples/cpp/DetectionNetwork/CMakeLists.txt	Fixed example file paths
cmake/Depthai/DepthaiDeviceSideConfig.cmake	Updated device-side binary commit hash
bindings/python/src/pipeline/node/DetectionParserBindings.cpp	Added Python bindings for setRunOnHost/runOnHost methods
CMakeLists.txt	Added DetectionParserUtils.cpp to build sources

Comments suppressed due to low confidence (1)

src/pipeline/node/DetectionParser.cpp:1

• Variable imgSizesSet should be of type bool instead of uint32_t since it stores a boolean state. The current type is misleading.

#include "depthai/pipeline/node/DetectionParser.hpp"

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