transform_fade() [2/2]

template<OperationReadyData DataType>

DataType MayaFlux::Yantra::transform_fade	(	DataType &	input,
		double	fade_in_duration_ratio = 0.0,
		double	fade_out_duration_ratio = 0.0
	)

Fade transformation (linear fade-in and fade-out) using C++20 ranges (IN-PLACE)

Template Parameters

DataType

OperationReadyData type

Parameters

input	Input data - WILL BE MODIFIED
fade_in_duration_ratio	Fade-in duration as a ratio of total length (0.0 to 1.0)
fade_out_duration_ratio	Fade-out duration as a ratio of total length (0.0 to 1.0)

Returns

Faded data

Definition at line 208 of file TemporalHelper.hpp.

{
    auto [target_data, structure_info] = OperationHelper::extract_structured_double(input);
 
    for (auto& span : target_data) {
        auto fade_in_samples = static_cast<size_t>(span.size() * fade_in_duration_ratio);
        auto fade_out_samples = static_cast<size_t>(span.size() * fade_out_duration_ratio);
        size_t fade_out_start = span.size() - fade_out_samples;
 
        for (size_t j = 0; j < fade_in_samples && fade_in_samples > 1; ++j) {
            double fade_factor = static_cast<double>(j) / static_cast<double>(fade_in_samples - 1);
            span[j] *= fade_factor;
        }
 
        for (size_t j = 0; j < fade_out_samples && fade_out_samples > 1 && fade_out_start + j < span.size(); ++j) {
            double fade_factor = 1.0 - (static_cast<double>(j) / static_cast<double>(fade_out_samples - 1));
            span[fade_out_start + j] *= fade_factor;
        }
    }
 
    auto reconstructed_data = target_data
        | std::views::transform([](const auto& span) {
              return std::vector<double>(span.begin(), span.end());
          })
        | std::ranges::to<std::vector>();
 
    return OperationHelper::reconstruct_from_double<DataType>(reconstructed_data, structure_info);
}

References MayaFlux::Yantra::OperationHelper::extract_structured_double().

Referenced by MayaFlux::Yantra::TemporalTransformer< InputType, OutputType >::transform_implementation().

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