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384 lines
15 KiB
C++
384 lines
15 KiB
C++
// Copyright 2015 Citra Emulator Project
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// Licensed under GPLv2 or any later version
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// Refer to the license.txt file included.
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#include <algorithm>
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#include <array>
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#include <cstddef>
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#include <memory>
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#include "common/assert.h"
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#include "common/color.h"
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#include "common/common_types.h"
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#include "common/math_util.h"
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#include "common/vector_math.h"
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#include "core/hle/service/y2r_u.h"
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#include "core/hw/y2r.h"
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#include "core/memory.h"
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namespace HW {
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namespace Y2R {
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using namespace Y2R_U;
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static const size_t MAX_TILES = 1024 / 8;
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static const size_t TILE_SIZE = 8 * 8;
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using ImageTile = std::array<u32, TILE_SIZE>;
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/// Converts a image strip from the source YUV format into individual 8x8 RGB32 tiles.
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static void ConvertYUVToRGB(InputFormat input_format, const u8* input_Y, const u8* input_U,
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const u8* input_V, ImageTile output[], unsigned int width,
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unsigned int height, const CoefficientSet& coefficients) {
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for (unsigned int y = 0; y < height; ++y) {
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for (unsigned int x = 0; x < width; ++x) {
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s32 Y = 0;
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s32 U = 0;
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s32 V = 0;
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switch (input_format) {
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case InputFormat::YUV422_Indiv8:
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case InputFormat::YUV422_Indiv16:
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Y = input_Y[y * width + x];
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U = input_U[(y * width + x) / 2];
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V = input_V[(y * width + x) / 2];
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break;
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case InputFormat::YUV420_Indiv8:
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case InputFormat::YUV420_Indiv16:
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Y = input_Y[y * width + x];
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U = input_U[((y / 2) * width + x) / 2];
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V = input_V[((y / 2) * width + x) / 2];
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break;
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case InputFormat::YUYV422_Interleaved:
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Y = input_Y[(y * width + x) * 2];
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U = input_Y[(y * width + (x / 2) * 2) * 2 + 1];
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V = input_Y[(y * width + (x / 2) * 2) * 2 + 3];
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break;
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}
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// This conversion process is bit-exact with hardware, as far as could be tested.
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auto& c = coefficients;
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s32 cY = c[0] * Y;
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s32 r = cY + c[1] * V;
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s32 g = cY - c[2] * V - c[3] * U;
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s32 b = cY + c[4] * U;
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const s32 rounding_offset = 0x18;
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r = (r >> 3) + c[5] + rounding_offset;
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g = (g >> 3) + c[6] + rounding_offset;
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b = (b >> 3) + c[7] + rounding_offset;
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unsigned int tile = x / 8;
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unsigned int tile_x = x % 8;
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u32* out = &output[tile][y * 8 + tile_x];
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using MathUtil::Clamp;
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*out = ((u32)Clamp(r >> 5, 0, 0xFF) << 24) | ((u32)Clamp(g >> 5, 0, 0xFF) << 16) |
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((u32)Clamp(b >> 5, 0, 0xFF) << 8);
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}
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}
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}
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/// Simulates an incoming CDMA transfer. The N parameter is used to automatically convert 16-bit
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/// formats to 8-bit.
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template <size_t N>
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static void ReceiveData(u8* output, ConversionBuffer& buf, size_t amount_of_data) {
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const u8* input = Memory::GetPointer(buf.address);
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size_t output_unit = buf.transfer_unit / N;
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ASSERT(amount_of_data % output_unit == 0);
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while (amount_of_data > 0) {
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for (size_t i = 0; i < output_unit; ++i) {
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output[i] = input[i * N];
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}
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output += output_unit;
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input += buf.transfer_unit + buf.gap;
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buf.address += buf.transfer_unit + buf.gap;
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buf.image_size -= buf.transfer_unit;
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amount_of_data -= output_unit;
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}
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}
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/// Convert intermediate RGB32 format to the final output format while simulating an outgoing CDMA
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/// transfer.
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static void SendData(const u32* input, ConversionBuffer& buf, int amount_of_data,
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OutputFormat output_format, u8 alpha) {
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u8* output = Memory::GetPointer(buf.address);
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while (amount_of_data > 0) {
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u8* unit_end = output + buf.transfer_unit;
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while (output < unit_end) {
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u32 color = *input++;
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Math::Vec4<u8> col_vec{(u8)(color >> 24), (u8)(color >> 16), (u8)(color >> 8), alpha};
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switch (output_format) {
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case OutputFormat::RGBA8:
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Color::EncodeRGBA8(col_vec, output);
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output += 4;
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break;
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case OutputFormat::RGB8:
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Color::EncodeRGB8(col_vec, output);
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output += 3;
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break;
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case OutputFormat::RGB5A1:
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Color::EncodeRGB5A1(col_vec, output);
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output += 2;
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break;
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case OutputFormat::RGB565:
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Color::EncodeRGB565(col_vec, output);
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output += 2;
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break;
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}
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amount_of_data -= 1;
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}
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output += buf.gap;
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buf.address += buf.transfer_unit + buf.gap;
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buf.image_size -= buf.transfer_unit;
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}
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}
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static const u8 linear_lut[TILE_SIZE] = {
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// clang-format off
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0, 1, 2, 3, 4, 5, 6, 7,
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8, 9, 10, 11, 12, 13, 14, 15,
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16, 17, 18, 19, 20, 21, 22, 23,
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24, 25, 26, 27, 28, 29, 30, 31,
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32, 33, 34, 35, 36, 37, 38, 39,
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40, 41, 42, 43, 44, 45, 46, 47,
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48, 49, 50, 51, 52, 53, 54, 55,
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56, 57, 58, 59, 60, 61, 62, 63,
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// clang-format on
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};
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static const u8 morton_lut[TILE_SIZE] = {
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// clang-format off
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0, 1, 4, 5, 16, 17, 20, 21,
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2, 3, 6, 7, 18, 19, 22, 23,
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8, 9, 12, 13, 24, 25, 28, 29,
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10, 11, 14, 15, 26, 27, 30, 31,
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32, 33, 36, 37, 48, 49, 52, 53,
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34, 35, 38, 39, 50, 51, 54, 55,
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40, 41, 44, 45, 56, 57, 60, 61,
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42, 43, 46, 47, 58, 59, 62, 63,
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// clang-format on
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};
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static void RotateTile0(const ImageTile& input, ImageTile& output, int height,
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const u8 out_map[64]) {
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for (int i = 0; i < height * 8; ++i) {
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output[out_map[i]] = input[i];
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}
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}
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static void RotateTile90(const ImageTile& input, ImageTile& output, int height,
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const u8 out_map[64]) {
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int out_i = 0;
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for (int x = 0; x < 8; ++x) {
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for (int y = height - 1; y >= 0; --y) {
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output[out_map[out_i++]] = input[y * 8 + x];
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}
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}
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}
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static void RotateTile180(const ImageTile& input, ImageTile& output, int height,
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const u8 out_map[64]) {
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int out_i = 0;
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for (int i = height * 8 - 1; i >= 0; --i) {
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output[out_map[out_i++]] = input[i];
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}
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}
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static void RotateTile270(const ImageTile& input, ImageTile& output, int height,
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const u8 out_map[64]) {
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int out_i = 0;
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for (int x = 8 - 1; x >= 0; --x) {
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for (int y = 0; y < height; ++y) {
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output[out_map[out_i++]] = input[y * 8 + x];
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}
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}
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}
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static void WriteTileToOutput(u32* output, const ImageTile& tile, int height, int line_stride) {
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for (int y = 0; y < height; ++y) {
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for (int x = 0; x < 8; ++x) {
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output[y * line_stride + x] = tile[y * 8 + x];
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}
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}
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}
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/**
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* Performs a Y2R colorspace conversion.
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*
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* The Y2R hardware implements hardware-accelerated YUV to RGB colorspace conversions. It is most
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* commonly used for video playback or to display camera input to the screen.
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*
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* The conversion process is quite configurable, and can be divided in distinct steps. From
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* observation, it appears that the hardware buffers a single 8-pixel tall strip of image data
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* internally and converts it in one go before writing to the output and loading the next strip.
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*
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* The steps taken to convert one strip of image data are:
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*
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* - The hardware receives data via CDMA (http://3dbrew.org/wiki/Corelink_DMA_Engines), which is
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* presumably stored in one or more internal buffers. This process can be done in several separate
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* transfers, as long as they don't exceed the size of the internal image buffer. This allows
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* flexibility in input strides.
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* - The input data is decoded into a YUV tuple. Several formats are suported, see the `InputFormat`
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* enum.
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* - The YUV tuple is converted, using fixed point calculations, to RGB. This step can be configured
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* using a set of coefficients to support different colorspace standards. See `CoefficientSet`.
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* - The strip can be optionally rotated 90, 180 or 270 degrees. Since each strip is processed
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* independently, this notably rotates each *strip*, not the entire image. This means that for 90
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* or 270 degree rotations, the output will be in terms of several 8 x height images, and for any
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* non-zero rotation the strips will have to be re-arranged so that the parts of the image will
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* not be shuffled together. This limitation makes this a feature of somewhat dubious utility. 90
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* or 270 degree rotations in images with non-even height don't seem to work properly.
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* - The data is converted to the output RGB format. See the `OutputFormat` enum.
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* - The data can be output either linearly line-by-line or in the swizzled 8x8 tile format used by
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* the PICA. This is decided by the `BlockAlignment` enum. If 8x8 alignment is used, then the
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* image must have a height divisible by 8. The image width must always be divisible by 8.
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* - The final data is then CDMAed out to main memory and the next image strip is processed. This
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* offers the same flexibility as the input stage.
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*
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* In this implementation, to avoid the combinatorial explosion of parameter combinations, common
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* intermediate formats are used and where possible tables or parameters are used instead of
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* diverging code paths to keep the amount of branches in check. Some steps are also merged to
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* increase efficiency.
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*
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* Output for all valid settings combinations matches hardware, however output in some edge-cases
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* differs:
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*
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* - `Block8x8` alignment with non-mod8 height produces different garbage patterns on the last
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* strip, especially when combined with rotation.
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* - Hardware, when using `Linear` alignment with a non-even height and 90 or 270 degree rotation
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* produces misaligned output on the last strip. This implmentation produces output with the
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* correct "expected" alignment.
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*
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* Hardware behaves strangely (doesn't fire the completion interrupt, for example) in these cases,
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* so they are believed to be invalid configurations anyway.
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*/
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void PerformConversion(ConversionConfiguration& cvt) {
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ASSERT(cvt.input_line_width % 8 == 0);
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ASSERT(cvt.block_alignment != BlockAlignment::Block8x8 || cvt.input_lines % 8 == 0);
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// Tiles per row
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size_t num_tiles = cvt.input_line_width / 8;
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ASSERT(num_tiles <= MAX_TILES);
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// Buffer used as a CDMA source/target.
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std::unique_ptr<u8[]> data_buffer(new u8[cvt.input_line_width * 8 * 4]);
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// Intermediate storage for decoded 8x8 image tiles. Always stored as RGB32.
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std::unique_ptr<ImageTile[]> tiles(new ImageTile[num_tiles]);
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ImageTile tmp_tile;
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// LUT used to remap writes to a tile. Used to allow linear or swizzled output without
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// requiring two different code paths.
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const u8* tile_remap = nullptr;
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switch (cvt.block_alignment) {
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case BlockAlignment::Linear:
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tile_remap = linear_lut;
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break;
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case BlockAlignment::Block8x8:
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tile_remap = morton_lut;
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break;
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}
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for (unsigned int y = 0; y < cvt.input_lines; y += 8) {
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unsigned int row_height = std::min(cvt.input_lines - y, 8u);
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// Total size in pixels of incoming data required for this strip.
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const size_t row_data_size = row_height * cvt.input_line_width;
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u8* input_Y = data_buffer.get();
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u8* input_U = input_Y + 8 * cvt.input_line_width;
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u8* input_V = input_U + 8 * cvt.input_line_width / 2;
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switch (cvt.input_format) {
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case InputFormat::YUV422_Indiv8:
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ReceiveData<1>(input_Y, cvt.src_Y, row_data_size);
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ReceiveData<1>(input_U, cvt.src_U, row_data_size / 2);
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ReceiveData<1>(input_V, cvt.src_V, row_data_size / 2);
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break;
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case InputFormat::YUV420_Indiv8:
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ReceiveData<1>(input_Y, cvt.src_Y, row_data_size);
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ReceiveData<1>(input_U, cvt.src_U, row_data_size / 4);
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ReceiveData<1>(input_V, cvt.src_V, row_data_size / 4);
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break;
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case InputFormat::YUV422_Indiv16:
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ReceiveData<2>(input_Y, cvt.src_Y, row_data_size);
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ReceiveData<2>(input_U, cvt.src_U, row_data_size / 2);
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ReceiveData<2>(input_V, cvt.src_V, row_data_size / 2);
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break;
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case InputFormat::YUV420_Indiv16:
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ReceiveData<2>(input_Y, cvt.src_Y, row_data_size);
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ReceiveData<2>(input_U, cvt.src_U, row_data_size / 4);
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ReceiveData<2>(input_V, cvt.src_V, row_data_size / 4);
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break;
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case InputFormat::YUYV422_Interleaved:
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input_U = nullptr;
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input_V = nullptr;
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ReceiveData<1>(input_Y, cvt.src_YUYV, row_data_size * 2);
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break;
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}
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// Note(yuriks): If additional optimization is required, input_format can be moved to a
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// template parameter, so that its dispatch can be moved to outside the inner loop.
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ConvertYUVToRGB(cvt.input_format, input_Y, input_U, input_V, tiles.get(),
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cvt.input_line_width, row_height, cvt.coefficients);
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u32* output_buffer = reinterpret_cast<u32*>(data_buffer.get());
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for (size_t i = 0; i < num_tiles; ++i) {
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int image_strip_width = 0;
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int output_stride = 0;
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switch (cvt.rotation) {
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case Rotation::None:
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RotateTile0(tiles[i], tmp_tile, row_height, tile_remap);
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image_strip_width = cvt.input_line_width;
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output_stride = 8;
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break;
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case Rotation::Clockwise_90:
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RotateTile90(tiles[i], tmp_tile, row_height, tile_remap);
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image_strip_width = 8;
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output_stride = 8 * row_height;
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break;
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case Rotation::Clockwise_180:
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// For 180 and 270 degree rotations we also invert the order of tiles in the strip,
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// since the rotates are done individually on each tile.
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RotateTile180(tiles[num_tiles - i - 1], tmp_tile, row_height, tile_remap);
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image_strip_width = cvt.input_line_width;
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output_stride = 8;
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break;
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case Rotation::Clockwise_270:
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RotateTile270(tiles[num_tiles - i - 1], tmp_tile, row_height, tile_remap);
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image_strip_width = 8;
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output_stride = 8 * row_height;
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break;
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}
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switch (cvt.block_alignment) {
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case BlockAlignment::Linear:
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WriteTileToOutput(output_buffer, tmp_tile, row_height, image_strip_width);
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output_buffer += output_stride;
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break;
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case BlockAlignment::Block8x8:
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WriteTileToOutput(output_buffer, tmp_tile, 8, 8);
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output_buffer += TILE_SIZE;
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break;
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}
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}
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// Note(yuriks): If additional optimization is required, output_format can be moved to a
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// template parameter, so that its dispatch can be moved to outside the inner loop.
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SendData(reinterpret_cast<u32*>(data_buffer.get()), cvt.dst, (int)row_data_size,
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cvt.output_format, (u8)cvt.alpha);
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}
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}
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}
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}
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