64 lines
3.1 KiB
C++
64 lines
3.1 KiB
C++
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// Copyright (C) 2018-2025 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#pragma once
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#include "openvino/op/util/convert_color_nv12_base.hpp"
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namespace ov {
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namespace op {
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namespace v8 {
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/// \brief Color conversion operation from NV12 to RGB format.
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/// Input:
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/// - Input NV12 image can be represented in two ways:
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/// a) Single plane (as it is in the file): NV12 height dimension is 1.5x bigger than image height. 'C'
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/// dimension shall be 1.
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/// b) Two separate planes (used this way in many physical video sources): Y and UV. In
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/// this case
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/// b1) Y plane has height same as image height. 'C' dimension equals to 1
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/// b2) UV plane has dimensions: 'H' = image_h / 2; 'W' = image_w / 2; 'C' = 2.
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/// - Supported element types: u8 or any supported floating-point type.
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/// Output:
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/// - Output node will have NHWC layout and shape HxW same as image spatial dimensions.
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/// - Number of output channels 'C' will be 3, as per interleaved RGB format, first channel is B, last is R
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///
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/// \details Conversion of each pixel from NV12 (YUV) to RGB space is represented by following formulas:
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/// R = 1.164 * (Y - 16) + 1.596 * (V - 128)
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/// G = 1.164 * (Y - 16) - 0.813 * (V - 128) - 0.391 * (U - 128)
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/// B = 1.164 * (Y - 16) + 2.018 * (U - 128)
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/// Then R, G, B values are clipped to range (0, 255)
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///
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API NV12toBGR : public util::ConvertColorNV12Base {
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public:
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OPENVINO_OP("NV12toBGR", "opset8", util::ConvertColorNV12Base);
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NV12toBGR() = default;
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/// \brief Constructs a conversion operation from input image in NV12 format
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/// As per NV12 format definition, node height dimension shall be 1.5 times bigger than image height
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/// so that image (w=640, h=480) is represented by NHWC shape {N,720,640,1} (height*1.5 x width)
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///
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/// \param arg Node that produces the input tensor. Input tensor represents image in NV12 format (YUV).
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explicit NV12toBGR(const Output<Node>& arg);
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/// \brief Constructs a conversion operation from 2-plane input image in NV12 format
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/// In general case Y channel of image can be separated from UV channel which means that operation needs two nodes
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/// for Y and UV planes respectively. Y plane has one channel, and UV has 2 channels, both expect 'NHWC' layout
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///
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/// \param arg_y Node that produces the input tensor for Y plane (NHWC layout). Shall have WxH dimensions
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/// equal to image dimensions. 'C' dimension equals to 1.
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///
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/// \param arg_uv Node that produces the input tensor for UV plane (NHWC layout). 'H' is half of image height,
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/// 'W' is half of image width, 'C' dimension equals to 2. Channel 0 represents 'U', channel 1 represents 'V'
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/// channel
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///
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explicit NV12toBGR(const Output<Node>& arg_y, const Output<Node>& arg_uv);
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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};
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} // namespace v8
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} // namespace op
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} // namespace ov
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