run_lane()

bool MayaFlux::Yantra::VisionAnalyzer::run_lane ( size_t  lane, const std::vector< Kinesis::Vision::ResolvedSequence > &  resolved, std::vector< Kinesis::Vision::VisionResult > &  results, const std::shared_ptr< Core::VKImage > &  image  )

private

Run or poll sequence lane of resolved on its executor.

Returns

False while the sequence is suspended on deferred work; true once its result is appended to results.

Definition at line 518 of file VisionAnalyzer.cpp.

{
    if (m_executors.size() < resolved.size())
        m_executors.resize(resolved.size());
 
    const auto& entry = resolved[lane];
    auto& executor = m_executors[lane];
    if (!executor)
        executor = std::make_unique<VisionGpuExecutor>();
 
    if (std::ranges::any_of(entry.sequence.steps,
            [](const auto& step) { return step.op == Kinesis::Vision::VisionOp::ConnectedComponents; }))
        m_label_lane = lane;
 
    const auto seeded = entry.seed_field ? entry.seed_field(results[entry.seed_lane]) : nullptr;
    const auto& source = seeded ? seeded : image;
    auto result = executor->run(entry.sequence, source, source->get_width(), source->get_height());
 
    if (result.status != Kinesis::Vision::VisionStatus::COMPLETE)
        return false;
 
    results.push_back(std::move(result));
    return true;
}

References MayaFlux::Kinesis::Vision::COMPLETE, image, m_executors, and m_label_lane.

Referenced by advance(), and analyze_resolved().

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