virtualx-engine/modules/cvtt/image_compress_cvtt.cpp
2018-08-22 22:42:22 -04:00

394 lines
12 KiB
C++

/*************************************************************************/
/* image_compress_cvtt.cpp */
/*************************************************************************/
/* This file is part of: */
/* GODOT ENGINE */
/* https://godotengine.org */
/*************************************************************************/
/* Copyright (c) 2007-2018 Juan Linietsky, Ariel Manzur. */
/* Copyright (c) 2014-2018 Godot Engine contributors (cf. AUTHORS.md) */
/* */
/* Permission is hereby granted, free of charge, to any person obtaining */
/* a copy of this software and associated documentation files (the */
/* "Software"), to deal in the Software without restriction, including */
/* without limitation the rights to use, copy, modify, merge, publish, */
/* distribute, sublicense, and/or sell copies of the Software, and to */
/* permit persons to whom the Software is furnished to do so, subject to */
/* the following conditions: */
/* */
/* The above copyright notice and this permission notice shall be */
/* included in all copies or substantial portions of the Software. */
/* */
/* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, */
/* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF */
/* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.*/
/* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY */
/* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, */
/* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE */
/* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */
/*************************************************************************/
#include "image_compress_cvtt.h"
#include "os/os.h"
#include "os/thread.h"
#include "print_string.h"
#include <ConvectionKernels.h>
struct CVTTCompressionJobParams {
bool is_hdr;
bool is_signed;
int bytes_per_pixel;
cvtt::Options options;
};
struct CVTTCompressionRowTask {
const uint8_t *in_mm_bytes;
uint8_t *out_mm_bytes;
int y_start;
int width;
int height;
};
struct CVTTCompressionJobQueue {
CVTTCompressionJobParams job_params;
const CVTTCompressionRowTask *job_tasks;
uint32_t num_tasks;
uint32_t current_task;
};
static void _digest_row_task(const CVTTCompressionJobParams &p_job_params, const CVTTCompressionRowTask &p_row_task) {
const uint8_t *in_bytes = p_row_task.in_mm_bytes;
uint8_t *out_bytes = p_row_task.out_mm_bytes;
int w = p_row_task.width;
int h = p_row_task.height;
int y_start = p_row_task.y_start;
int y_end = y_start + 4;
int bytes_per_pixel = p_job_params.bytes_per_pixel;
bool is_hdr = p_job_params.is_hdr;
bool is_signed = p_job_params.is_signed;
cvtt::PixelBlockU8 input_blocks_ldr[cvtt::NumParallelBlocks];
cvtt::PixelBlockF16 input_blocks_hdr[cvtt::NumParallelBlocks];
for (int x_start = 0; x_start < w; x_start += 4 * cvtt::NumParallelBlocks) {
int x_end = x_start + 4 * cvtt::NumParallelBlocks;
for (int y = y_start; y < y_end; y++) {
int first_input_element = (y - y_start) * 4;
const uint8_t *row_start;
if (y >= h) {
row_start = in_bytes + (h - 1) * (w * bytes_per_pixel);
} else {
row_start = in_bytes + y * (w * bytes_per_pixel);
}
for (int x = x_start; x < x_end; x++) {
const uint8_t *pixel_start;
if (x >= w) {
pixel_start = row_start + (w - 1) * bytes_per_pixel;
} else {
pixel_start = row_start + x * bytes_per_pixel;
}
int block_index = (x - x_start) / 4;
int block_element = (x - x_start) % 4 + first_input_element;
if (is_hdr) {
memcpy(input_blocks_hdr[block_index].m_pixels[block_element], pixel_start, bytes_per_pixel);
input_blocks_hdr[block_index].m_pixels[block_element][3] = 0x3c00; // 1.0 (unused)
} else {
memcpy(input_blocks_ldr[block_index].m_pixels[block_element], pixel_start, bytes_per_pixel);
}
}
}
uint8_t output_blocks[16 * cvtt::NumParallelBlocks];
if (is_hdr) {
if (is_signed) {
cvtt::Kernels::EncodeBC6HS(output_blocks, input_blocks_hdr, p_job_params.options);
} else {
cvtt::Kernels::EncodeBC6HU(output_blocks, input_blocks_hdr, p_job_params.options);
}
} else {
cvtt::Kernels::EncodeBC7(output_blocks, input_blocks_ldr, p_job_params.options);
}
int num_real_blocks = ((w - x_start) + 3) / 4;
if (num_real_blocks > cvtt::NumParallelBlocks) {
num_real_blocks = cvtt::NumParallelBlocks;
}
memcpy(out_bytes, output_blocks, 16 * num_real_blocks);
out_bytes += 16 * num_real_blocks;
}
}
static void _digest_job_queue(void *p_job_queue) {
CVTTCompressionJobQueue *job_queue = static_cast<CVTTCompressionJobQueue *>(p_job_queue);
for (int next_task = atomic_increment(&job_queue->current_task); next_task <= job_queue->num_tasks; next_task = atomic_increment(&job_queue->current_task)) {
_digest_row_task(job_queue->job_params, job_queue->job_tasks[next_task - 1]);
}
}
void image_compress_cvtt(Image *p_image, float p_lossy_quality, Image::CompressSource p_source) {
if (p_image->get_format() >= Image::FORMAT_BPTC_RGBA)
return; //do not compress, already compressed
int w = p_image->get_width();
int h = p_image->get_height();
bool is_ldr = (p_image->get_format() <= Image::FORMAT_RGBA8);
bool is_hdr = (p_image->get_format() == Image::FORMAT_RGBH);
if (!is_ldr && !is_hdr) {
return; // Not a usable source format
}
cvtt::Options options;
uint32_t flags = cvtt::Flags::Fastest;
if (p_lossy_quality > 0.85)
flags = cvtt::Flags::Ultra;
else if (p_lossy_quality > 0.75)
flags = cvtt::Flags::Better;
else if (p_lossy_quality > 0.55)
flags = cvtt::Flags::Default;
else if (p_lossy_quality > 0.35)
flags = cvtt::Flags::Fast;
else if (p_lossy_quality > 0.15)
flags = cvtt::Flags::Faster;
flags |= cvtt::Flags::BC7_RespectPunchThrough;
if (p_source == Image::COMPRESS_SOURCE_NORMAL) {
flags |= cvtt::Flags::Uniform;
}
Image::Format target_format = Image::FORMAT_BPTC_RGBA;
bool is_signed = false;
if (is_hdr) {
PoolVector<uint8_t>::Read rb = p_image->get_data().read();
const uint16_t *source_data = reinterpret_cast<const uint16_t *>(&rb[0]);
int pixel_element_count = w * h * 3;
for (int i = 0; i < pixel_element_count; i++) {
if ((source_data[i] & 0x8000) != 0 && (source_data[i] & 0x7fff) != 0) {
is_signed = true;
break;
}
}
target_format = is_signed ? Image::FORMAT_BPTC_RGBF : Image::FORMAT_BPTC_RGBFU;
} else {
p_image->convert(Image::FORMAT_RGBA8); //still uses RGBA to convert
}
PoolVector<uint8_t>::Read rb = p_image->get_data().read();
PoolVector<uint8_t> data;
int target_size = Image::get_image_data_size(w, h, target_format, p_image->has_mipmaps());
int mm_count = p_image->has_mipmaps() ? Image::get_image_required_mipmaps(w, h, target_format) : 0;
data.resize(target_size);
int shift = Image::get_format_pixel_rshift(target_format);
PoolVector<uint8_t>::Write wb = data.write();
int dst_ofs = 0;
CVTTCompressionJobQueue job_queue;
job_queue.job_params.is_hdr = is_hdr;
job_queue.job_params.is_signed = is_signed;
job_queue.job_params.options = options;
job_queue.job_params.bytes_per_pixel = is_hdr ? 6 : 4;
#ifdef NO_THREADS
int num_job_threads = 0;
#else
int num_job_threads = OS::get_singleton()->can_use_threads() ? (OS::get_singleton()->get_processor_count() - 1) : 0;
#endif
PoolVector<CVTTCompressionRowTask> tasks;
for (int i = 0; i <= mm_count; i++) {
int bw = w % 4 != 0 ? w + (4 - w % 4) : w;
int bh = h % 4 != 0 ? h + (4 - h % 4) : h;
int src_ofs = p_image->get_mipmap_offset(i);
const uint8_t *in_bytes = &rb[src_ofs];
uint8_t *out_bytes = &wb[dst_ofs];
for (int y_start = 0; y_start < h; y_start += 4) {
int y_end = y_start + 4;
CVTTCompressionRowTask row_task;
row_task.width = w;
row_task.height = h;
row_task.y_start = y_start;
row_task.in_mm_bytes = in_bytes;
row_task.out_mm_bytes = out_bytes;
if (num_job_threads > 0) {
tasks.push_back(row_task);
} else {
_digest_row_task(job_queue.job_params, row_task);
}
out_bytes += 16 * (bw / 4);
}
dst_ofs += (MAX(4, bw) * MAX(4, bh)) >> shift;
w >>= 1;
h >>= 1;
}
if (num_job_threads > 0) {
PoolVector<Thread *> threads;
threads.resize(num_job_threads);
PoolVector<Thread *>::Write threads_wb = threads.write();
PoolVector<CVTTCompressionRowTask>::Read tasks_rb = tasks.read();
job_queue.job_tasks = &tasks_rb[0];
job_queue.current_task = 0;
job_queue.num_tasks = static_cast<uint32_t>(tasks.size());
for (int i = 0; i < num_job_threads; i++) {
threads_wb[i] = Thread::create(_digest_job_queue, &job_queue);
}
_digest_job_queue(&job_queue);
for (int i = 0; i < num_job_threads; i++) {
Thread::wait_to_finish(threads_wb[i]);
memdelete(threads_wb[i]);
}
}
p_image->create(p_image->get_width(), p_image->get_height(), p_image->has_mipmaps(), target_format, data);
}
void image_decompress_cvtt(Image *p_image) {
Image::Format target_format;
bool is_signed = false;
bool is_hdr = false;
Image::Format input_format = p_image->get_format();
switch (input_format) {
case Image::FORMAT_BPTC_RGBA:
target_format = Image::FORMAT_RGBA8;
break;
case Image::FORMAT_BPTC_RGBF:
case Image::FORMAT_BPTC_RGBFU:
target_format = Image::FORMAT_RGBH;
is_signed = (input_format == Image::FORMAT_BPTC_RGBF);
is_hdr = true;
break;
default:
return; // Invalid input format
};
int w = p_image->get_width();
int h = p_image->get_height();
PoolVector<uint8_t>::Read rb = p_image->get_data().read();
PoolVector<uint8_t> data;
int target_size = Image::get_image_data_size(w, h, target_format, p_image->has_mipmaps());
int mm_count = p_image->get_mipmap_count();
data.resize(target_size);
int shift = Image::get_format_pixel_rshift(target_format);
PoolVector<uint8_t>::Write wb = data.write();
int bytes_per_pixel = is_hdr ? 6 : 4;
int dst_ofs = 0;
for (int i = 0; i <= mm_count; i++) {
int src_ofs = p_image->get_mipmap_offset(i);
const uint8_t *in_bytes = &rb[src_ofs];
uint8_t *out_bytes = &wb[dst_ofs];
cvtt::PixelBlockU8 output_blocks_ldr[cvtt::NumParallelBlocks];
cvtt::PixelBlockF16 output_blocks_hdr[cvtt::NumParallelBlocks];
for (int y_start = 0; y_start < h; y_start += 4) {
int y_end = y_start + 4;
for (int x_start = 0; x_start < w; x_start += 4 * cvtt::NumParallelBlocks) {
int x_end = x_start + 4 * cvtt::NumParallelBlocks;
uint8_t input_blocks[16 * cvtt::NumParallelBlocks];
memset(input_blocks, 0, sizeof(input_blocks));
int num_real_blocks = ((w - x_start) + 3) / 4;
if (num_real_blocks > cvtt::NumParallelBlocks) {
num_real_blocks = cvtt::NumParallelBlocks;
}
memcpy(input_blocks, in_bytes, 16 * num_real_blocks);
in_bytes += 16 * num_real_blocks;
if (is_hdr) {
if (is_signed) {
cvtt::Kernels::DecodeBC6HS(output_blocks_hdr, input_blocks);
} else {
cvtt::Kernels::DecodeBC6HU(output_blocks_hdr, input_blocks);
}
} else {
cvtt::Kernels::DecodeBC7(output_blocks_ldr, input_blocks);
}
for (int y = y_start; y < y_end; y++) {
int first_input_element = (y - y_start) * 4;
uint8_t *row_start;
if (y >= h) {
row_start = out_bytes + (h - 1) * (w * bytes_per_pixel);
} else {
row_start = out_bytes + y * (w * bytes_per_pixel);
}
for (int x = x_start; x < x_end; x++) {
uint8_t *pixel_start;
if (x >= w) {
pixel_start = row_start + (w - 1) * bytes_per_pixel;
} else {
pixel_start = row_start + x * bytes_per_pixel;
}
int block_index = (x - x_start) / 4;
int block_element = (x - x_start) % 4 + first_input_element;
if (is_hdr) {
memcpy(pixel_start, output_blocks_hdr[block_index].m_pixels[block_element], bytes_per_pixel);
} else {
memcpy(pixel_start, output_blocks_ldr[block_index].m_pixels[block_element], bytes_per_pixel);
}
}
}
}
}
dst_ofs += w * h * bytes_per_pixel;
w >>= 1;
h >>= 1;
}
rb = PoolVector<uint8_t>::Read();
wb = PoolVector<uint8_t>::Write();
p_image->create(p_image->get_width(), p_image->get_height(), p_image->has_mipmaps(), target_format, data);
}