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basisu_frontend.cpp
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basisu_frontend.cpp
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// basisu_frontend.cpp
// Copyright (C) 2019 Binomial LLC. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// TODO:
// This code originally supported full ETC1 and ETC1S, so there's some legacy stuff to be cleaned up in here.
// Add endpoint tiling support (where we force adjacent blocks to use the same endpoints during quantization), for a ~10% or more increase in bitrate at same SSIM. The backend already supports this.
//
#include "transcoder/basisu.h"
#include "basisu_frontend.h"
#include <unordered_set>
#include <unordered_map>
#define BASISU_FRONTEND_VERIFY(c) do { if (!(c)) handle_verify_failure(__LINE__); } while(0)
namespace basisu
{
const uint32_t cMaxCodebookCreationThreads = 8;
const uint32_t BASISU_MAX_ENDPOINT_REFINEMENT_STEPS = 3;
const uint32_t BASISU_MAX_SELECTOR_REFINEMENT_STEPS = 3;
const uint32_t BASISU_ENDPOINT_PARENT_CODEBOOK_SIZE = 16;
const uint32_t BASISU_SELECTOR_PARENT_CODEBOOK_SIZE = 16;
// TODO - How to handle internal verifies in the basisu lib
static inline void handle_verify_failure(int line)
{
fprintf(stderr, "ERROR: basisu_frontend: verify check failed at line %i!\n", line);
abort();
}
bool basisu_frontend::init(const params &p)
{
#if 0
// HACK HACK
FILE* pFile;
fopen_s(&pFile, "tv.bin", "rb");
if (pFile)
{
debug_printf("Using tv.bin\n");
fseek(pFile, 0, SEEK_END);
uint32_t size = ftell(pFile);
fseek(pFile, 0, SEEK_SET);
uint32_t tv = size / sizeof(vec6F_quantizer::training_vec_with_weight);
std::vector<vec6F_quantizer::training_vec_with_weight> v(tv);
fread(&v[0], 1, sizeof(v[0]) * tv, pFile);
for (uint32_t i = 0; i < tv; i++)
m_endpoint_clusterizer.add_training_vec(v[i].first, v[i].second);
m_endpoint_clusterizer.generate(16128);
std::vector<uint_vec> codebook;
m_endpoint_clusterizer.retrieve(codebook);
printf("Generated %u entries\n", (uint32_t)codebook.size());
fclose(pFile);
exit(0);
}
#endif
if (p.m_use_hybrid_selector_codebooks)
{
if (!p.m_pGlobal_sel_codebook)
{
assert(0);
return false;
}
}
debug_printf("basisu_frontend::init: Multithreaded: %u, NumEndpointClusters: %u, NumSelectorClusters: %u, Perceptual: %u, CompressionLevel: %u\n",
p.m_multithreaded, p.m_max_endpoint_clusters, p.m_max_selector_clusters, p.m_perceptual, p.m_compression_level);
debug_printf("Global sel codebook pal bits: %u, Global sel codebook mod bits: %u, Use hybrid selector codebook: %u, Hybrid codebook quality thresh: %f\n",
p.m_num_global_sel_codebook_pal_bits,
p.m_num_global_sel_codebook_mod_bits,
p.m_use_hybrid_selector_codebooks,
p.m_hybrid_codebook_quality_thresh);
if ((p.m_max_endpoint_clusters < 1) || (p.m_max_endpoint_clusters > cMaxEndpointClusters))
return false;
if ((p.m_max_selector_clusters < 1) || (p.m_max_selector_clusters > cMaxSelectorClusters))
return false;
m_source_blocks.resize(0);
append_vector(m_source_blocks, p.m_pSource_blocks, p.m_num_source_blocks);
m_params = p;
m_encoded_blocks.resize(m_params.m_num_source_blocks);
memset(&m_encoded_blocks[0], 0, m_encoded_blocks.size() * sizeof(m_encoded_blocks[0]));
m_num_endpoint_codebook_iterations = 1;
m_num_selector_codebook_iterations = 1;
switch (p.m_compression_level)
{
case 0:
{
m_endpoint_refinement = false;
m_use_hierarchical_endpoint_codebooks = true;
m_use_hierarchical_selector_codebooks = true;
break;
}
case 1:
{
m_endpoint_refinement = true;
m_use_hierarchical_endpoint_codebooks = true;
m_use_hierarchical_selector_codebooks = true;
break;
}
case 2:
{
m_endpoint_refinement = true;
m_use_hierarchical_endpoint_codebooks = false;
m_use_hierarchical_selector_codebooks = false;
break;
}
case 3:
{
m_endpoint_refinement = true;
m_use_hierarchical_endpoint_codebooks = true;
m_use_hierarchical_selector_codebooks = true;
m_num_endpoint_codebook_iterations = BASISU_MAX_ENDPOINT_REFINEMENT_STEPS;
m_num_selector_codebook_iterations = BASISU_MAX_ENDPOINT_REFINEMENT_STEPS;
break;
}
case 4:
{
m_endpoint_refinement = true;
m_use_hierarchical_endpoint_codebooks = false;
m_use_hierarchical_selector_codebooks = false;
m_num_endpoint_codebook_iterations = BASISU_MAX_ENDPOINT_REFINEMENT_STEPS;
m_num_selector_codebook_iterations = BASISU_MAX_ENDPOINT_REFINEMENT_STEPS;
break;
}
case 5:
{
m_endpoint_refinement = true;
m_use_hierarchical_endpoint_codebooks = false;
m_use_hierarchical_selector_codebooks = false;
m_num_endpoint_codebook_iterations = BASISU_MAX_ENDPOINT_REFINEMENT_STEPS*2;
m_num_selector_codebook_iterations = BASISU_MAX_ENDPOINT_REFINEMENT_STEPS*2;
break;
}
}
if (m_params.m_disable_hierarchical_endpoint_codebooks)
m_use_hierarchical_endpoint_codebooks = false;
debug_printf("Endpoint refinement: %u, Hierarchical endpoint codebooks: %u, Hierarchical selector codebooks: %u, Endpoint codebook iters: %u, Selector codebook iters: %u\n",
m_endpoint_refinement, m_use_hierarchical_endpoint_codebooks, m_use_hierarchical_selector_codebooks, m_num_endpoint_codebook_iterations, m_num_selector_codebook_iterations);
return true;
}
bool basisu_frontend::compress()
{
debug_printf("basisu_frontend::compress\n");
m_total_blocks = m_params.m_num_source_blocks;
m_total_pixels = m_total_blocks * cPixelBlockTotalPixels;
init_etc1_images();
init_endpoint_training_vectors();
generate_endpoint_clusters();
for (uint32_t refine_endpoint_step = 0; refine_endpoint_step < m_num_endpoint_codebook_iterations; refine_endpoint_step++)
{
BASISU_FRONTEND_VERIFY(check_etc1s_constraints());
if (refine_endpoint_step)
{
introduce_new_endpoint_clusters();
}
generate_endpoint_codebook(refine_endpoint_step);
if ((m_params.m_debug_images) && (m_params.m_dump_endpoint_clusterization))
{
char buf[256];
snprintf(buf, sizeof(buf), "endpoint_cluster_vis_pre_%u.png", refine_endpoint_step);
dump_endpoint_clusterization_visualization(buf, false);
}
bool early_out = false;
if (m_endpoint_refinement)
{
//dump_endpoint_clusterization_visualization("endpoint_clusters_before_refinement.png");
if (!refine_endpoint_clusterization())
early_out = true;
if ((m_params.m_tex_type == basist::cBASISTexTypeVideoFrames) && (!refine_endpoint_step) && (m_num_endpoint_codebook_iterations == 1))
{
eliminate_redundant_or_empty_endpoint_clusters();
generate_endpoint_codebook(refine_endpoint_step);
}
if ((m_params.m_debug_images) && (m_params.m_dump_endpoint_clusterization))
{
char buf[256];
snprintf(buf, sizeof(buf), "endpoint_cluster_vis_post_%u.png", refine_endpoint_step);
dump_endpoint_clusterization_visualization(buf, false);
snprintf(buf, sizeof(buf), "endpoint_cluster_colors_vis_post_%u.png", refine_endpoint_step);
dump_endpoint_clusterization_visualization(buf, true);
}
}
eliminate_redundant_or_empty_endpoint_clusters();
if (m_params.m_debug_stats)
debug_printf("Total endpoint clusters: %u\n", (uint32_t)m_endpoint_clusters.size());
if (early_out)
break;
}
BASISU_FRONTEND_VERIFY(check_etc1s_constraints());
generate_block_endpoint_clusters();
create_initial_packed_texture();
generate_selector_clusters();
if (m_use_hierarchical_selector_codebooks)
compute_selector_clusters_within_each_parent_cluster();
if (m_params.m_compression_level == 0)
{
create_optimized_selector_codebook(0);
find_optimal_selector_clusters_for_each_block();
introduce_special_selector_clusters();
}
else
{
const uint32_t num_refine_selector_steps = m_params.m_pGlobal_sel_codebook ? 1 : m_num_selector_codebook_iterations;
for (uint32_t refine_selector_steps = 0; refine_selector_steps < num_refine_selector_steps; refine_selector_steps++)
{
create_optimized_selector_codebook(refine_selector_steps);
find_optimal_selector_clusters_for_each_block();
introduce_special_selector_clusters();
if ((m_params.m_compression_level >= 3) || (m_params.m_tex_type == basist::cBASISTexTypeVideoFrames))
{
if (!refine_block_endpoints_given_selectors())
break;
}
}
}
optimize_selector_codebook();
if (m_params.m_debug_stats)
debug_printf("Total selector clusters: %u\n", (uint32_t)m_selector_cluster_indices.size());
finalize();
if (m_params.m_validate)
{
if (!validate_output())
return false;
}
debug_printf("basisu_frontend::compress: Done\n");
return true;
}
void basisu_frontend::introduce_special_selector_clusters()
{
debug_printf("introduce_special_selector_clusters\n");
if (m_params.m_pGlobal_sel_codebook)
return;
uint32_t total_blocks_relocated = 0;
const uint32_t initial_selector_clusters = (uint32_t)m_selector_cluster_indices.size();
bool_vec block_relocated_flags(m_total_blocks);
// Make sure the selector codebook always has pure flat blocks for each possible selector, to avoid obvious artifacts.
// optimize_selector_codebook() will clean up any redundant clusters we create here.
for (uint32_t sel = 0; sel < 4; sel++)
{
etc_block blk;
clear_obj(blk);
for (uint32_t j = 0; j < 16; j++)
blk.set_selector(j & 3, j >> 2, sel);
int k;
for (k = 0; k < (int)m_optimized_cluster_selectors.size(); k++)
if (m_optimized_cluster_selectors[k].get_raw_selector_bits() == blk.get_raw_selector_bits())
break;
if (k < (int)m_optimized_cluster_selectors.size())
continue;
debug_printf("Introducing sel %u\n", sel);
const uint32_t new_selector_cluster_index = (uint32_t)m_optimized_cluster_selectors.size();
m_optimized_cluster_selectors.push_back(blk);
vector_ensure_element_is_valid(m_selector_cluster_indices, new_selector_cluster_index);
for (uint32_t block_index = 0; block_index < m_total_blocks; block_index++)
{
if (m_orig_encoded_blocks[block_index].get_raw_selector_bits() != blk.get_raw_selector_bits())
continue;
// See if using flat selectors actually decreases the block's error.
const uint32_t old_selector_cluster_index = m_block_selector_cluster_index[block_index];
etc_block cur_blk;
const uint32_t endpoint_cluster_index = get_subblock_endpoint_cluster_index(block_index, 0);
cur_blk.set_block_color5_etc1s(get_endpoint_cluster_unscaled_color(endpoint_cluster_index, false));
cur_blk.set_inten_tables_etc1s(get_endpoint_cluster_inten_table(endpoint_cluster_index, false));
cur_blk.set_raw_selector_bits(get_selector_cluster_selector_bits(old_selector_cluster_index).get_raw_selector_bits());
const uint64_t cur_err = cur_blk.evaluate_etc1_error(get_source_pixel_block(block_index).get_ptr(), m_params.m_perceptual);
cur_blk.set_raw_selector_bits(blk.get_raw_selector_bits());
const uint64_t new_err = cur_blk.evaluate_etc1_error(get_source_pixel_block(block_index).get_ptr(), m_params.m_perceptual);
if (new_err >= cur_err)
continue;
// Change the block to use the new cluster
m_block_selector_cluster_index[block_index] = new_selector_cluster_index;
m_selector_cluster_indices[new_selector_cluster_index].push_back(block_index);
block_relocated_flags[block_index] = true;
#if 0
int j = vector_find(m_selector_cluster_indices[old_selector_cluster_index], block_index);
if (j >= 0)
m_selector_cluster_indices[old_selector_cluster_index].erase(m_selector_cluster_indices[old_selector_cluster_index].begin() + j);
#endif
total_blocks_relocated++;
m_encoded_blocks[block_index].set_raw_selector_bits(blk.get_raw_selector_bits());
} // block_index
} // sel
if (total_blocks_relocated)
{
debug_printf("Fixing selector codebook\n");
for (int selector_cluster_index = 0; selector_cluster_index < (int)initial_selector_clusters; selector_cluster_index++)
{
uint_vec& block_indices = m_selector_cluster_indices[selector_cluster_index];
uint32_t dst_ofs = 0;
for (uint32_t i = 0; i < block_indices.size(); i++)
{
const uint32_t block_index = block_indices[i];
if (!block_relocated_flags[block_index])
block_indices[dst_ofs++] = block_index;
}
block_indices.resize(dst_ofs);
}
}
debug_printf("Total blocks relocated to new flat selector clusters: %u\n", total_blocks_relocated);
}
void basisu_frontend::optimize_selector_codebook()
{
debug_printf("optimize_selector_codebook\n");
const uint32_t orig_total_selector_clusters = (uint32_t)m_optimized_cluster_selectors.size();
bool_vec selector_cluster_was_used(m_optimized_cluster_selectors.size());
for (uint32_t i = 0; i < m_total_blocks; i++)
selector_cluster_was_used[m_block_selector_cluster_index[i]] = true;
int_vec old_to_new(m_optimized_cluster_selectors.size());
int_vec new_to_old;
uint32_t total_new_entries = 0;
std::unordered_map<uint32_t, uint32_t> selector_hashmap;
for (int i = 0; i < static_cast<int>(m_optimized_cluster_selectors.size()); i++)
{
if (!selector_cluster_was_used[i])
{
old_to_new[i] = -1;
continue;
}
const uint32_t raw_selector_bits = m_optimized_cluster_selectors[i].get_raw_selector_bits();
auto find_res = selector_hashmap.insert(std::make_pair(raw_selector_bits, total_new_entries));
if (!find_res.second)
{
old_to_new[i] = (find_res.first)->second;
continue;
}
old_to_new[i] = total_new_entries++;
new_to_old.push_back(i);
}
for (uint32_t i = 0; i < m_block_selector_cluster_index.size(); i++)
{
BASISU_FRONTEND_VERIFY((old_to_new[m_block_selector_cluster_index[i]] >= 0) && (old_to_new[m_block_selector_cluster_index[i]] < (int)total_new_entries));
m_block_selector_cluster_index[i] = old_to_new[m_block_selector_cluster_index[i]];
}
std::vector<etc_block> new_optimized_cluster_selectors(m_optimized_cluster_selectors.size() ? total_new_entries : 0);
basist::etc1_global_selector_codebook_entry_id_vec new_optimized_cluster_selector_global_cb_ids(m_optimized_cluster_selector_global_cb_ids.size() ? total_new_entries : 0);
std::vector<uint_vec> new_selector_cluster_indices(m_selector_cluster_indices.size() ? total_new_entries : 0);
bool_vec new_selector_cluster_uses_global_cb(m_selector_cluster_uses_global_cb.size() ? total_new_entries : 0);
for (uint32_t i = 0; i < total_new_entries; i++)
{
if (m_optimized_cluster_selectors.size())
new_optimized_cluster_selectors[i] = m_optimized_cluster_selectors[new_to_old[i]];
if (m_optimized_cluster_selector_global_cb_ids.size())
new_optimized_cluster_selector_global_cb_ids[i] = m_optimized_cluster_selector_global_cb_ids[new_to_old[i]];
if (m_selector_cluster_indices.size())
new_selector_cluster_indices[i] = m_selector_cluster_indices[new_to_old[i]];
if (m_selector_cluster_uses_global_cb.size())
new_selector_cluster_uses_global_cb[i] = m_selector_cluster_uses_global_cb[new_to_old[i]];
}
m_optimized_cluster_selectors.swap(new_optimized_cluster_selectors);
m_optimized_cluster_selector_global_cb_ids.swap(new_optimized_cluster_selector_global_cb_ids);
m_selector_cluster_indices.swap(new_selector_cluster_indices);
m_selector_cluster_uses_global_cb.swap(new_selector_cluster_uses_global_cb);
debug_printf("optimize_selector_codebook: Before: %u After: %u\n", orig_total_selector_clusters, total_new_entries);
}
void basisu_frontend::init_etc1_images()
{
debug_printf("basisu_frontend::init_etc1_images\n");
m_etc1_blocks_etc1s.resize(m_total_blocks);
const uint32_t N = 4096;
for (uint32_t block_index_iter = 0; block_index_iter < m_total_blocks; block_index_iter += N)
{
const uint32_t first_index = block_index_iter;
const uint32_t last_index = minimum<uint32_t>(m_total_blocks, first_index + N);
m_params.m_pJob_pool->add_job( [this, first_index, last_index] {
for (uint32_t block_index = first_index; block_index < last_index; block_index++)
{
const pixel_block &source_blk = get_source_pixel_block(block_index);
etc1_optimizer optimizer;
etc1_optimizer::params optimizer_params;
etc1_optimizer::results optimizer_results;
if (m_params.m_compression_level == 0)
optimizer_params.m_quality = cETCQualityFast;
else if (m_params.m_compression_level == BASISU_MAX_COMPRESSION_LEVEL)
optimizer_params.m_quality = cETCQualityUber;
optimizer_params.m_num_src_pixels = 16;
optimizer_params.m_pSrc_pixels = source_blk.get_ptr();
optimizer_params.m_perceptual = m_params.m_perceptual;
uint8_t selectors[16];
optimizer_results.m_pSelectors = selectors;
optimizer_results.m_n = 16;
optimizer.init(optimizer_params, optimizer_results);
optimizer.compute();
etc_block &blk = m_etc1_blocks_etc1s[block_index];
memset(&blk, 0, sizeof(blk));
blk.set_block_color5_etc1s(optimizer_results.m_block_color_unscaled);
blk.set_inten_tables_etc1s(optimizer_results.m_block_inten_table);
blk.set_flip_bit(true);
for (uint32_t y = 0; y < 4; y++)
for (uint32_t x = 0; x < 4; x++)
blk.set_selector(x, y, selectors[x + y * 4]);
}
} );
}
m_params.m_pJob_pool->wait_for_all();
}
void basisu_frontend::init_endpoint_training_vectors()
{
debug_printf("init_endpoint_training_vectors\n");
vec6F_quantizer::array_of_weighted_training_vecs &training_vecs = m_endpoint_clusterizer.get_training_vecs();
training_vecs.resize(m_total_blocks * 2);
const uint32_t N = 16384;
for (uint32_t block_index_iter = 0; block_index_iter < m_total_blocks; block_index_iter += N)
{
const uint32_t first_index = block_index_iter;
const uint32_t last_index = minimum<uint32_t>(m_total_blocks, first_index + N);
m_params.m_pJob_pool->add_job( [this, first_index, last_index, &training_vecs] {
for (uint32_t block_index = first_index; block_index < last_index; block_index++)
{
const etc_block &blk = m_etc1_blocks_etc1s[block_index];
color_rgba block_colors[2];
blk.get_block_low_high_colors(block_colors, 0);
vec6F v;
v[0] = block_colors[0].r * (1.0f / 255.0f);
v[1] = block_colors[0].g * (1.0f / 255.0f);
v[2] = block_colors[0].b * (1.0f / 255.0f);
v[3] = block_colors[1].r * (1.0f / 255.0f);
v[4] = block_colors[1].g * (1.0f / 255.0f);
v[5] = block_colors[1].b * (1.0f / 255.0f);
training_vecs[block_index * 2 + 0] = std::make_pair(v, 1);
training_vecs[block_index * 2 + 1] = std::make_pair(v, 1);
} // block_index;
} );
} // block_index_iter
m_params.m_pJob_pool->wait_for_all();
}
void basisu_frontend::generate_endpoint_clusters()
{
debug_printf("Begin endpoint quantization\n");
const uint32_t parent_codebook_size = (m_params.m_max_endpoint_clusters >= 256) ? BASISU_ENDPOINT_PARENT_CODEBOOK_SIZE : 0;
uint32_t max_threads = 0;
max_threads = m_params.m_multithreaded ? minimum<int>(std::thread::hardware_concurrency(), cMaxCodebookCreationThreads) : 0;
debug_printf("Using %u threads to create codebook\n", max_threads);
bool status = generate_hierarchical_codebook_threaded(m_endpoint_clusterizer,
m_params.m_max_endpoint_clusters, m_use_hierarchical_endpoint_codebooks ? parent_codebook_size : 0,
m_endpoint_clusters,
m_endpoint_parent_clusters,
max_threads, m_params.m_pJob_pool);
BASISU_FRONTEND_VERIFY(status);
if (m_use_hierarchical_endpoint_codebooks)
{
if (!m_endpoint_parent_clusters.size())
{
m_endpoint_parent_clusters.resize(0);
m_endpoint_parent_clusters.resize(1);
for (uint32_t i = 0; i < m_total_blocks; i++)
{
m_endpoint_parent_clusters[0].push_back(i*2);
m_endpoint_parent_clusters[0].push_back(i*2+1);
}
}
BASISU_ASSUME(BASISU_ENDPOINT_PARENT_CODEBOOK_SIZE <= UINT8_MAX);
m_block_parent_endpoint_cluster.resize(0);
m_block_parent_endpoint_cluster.resize(m_total_blocks);
vector_set_all(m_block_parent_endpoint_cluster, 0xFF);
for (uint32_t parent_cluster_index = 0; parent_cluster_index < m_endpoint_parent_clusters.size(); parent_cluster_index++)
{
const uint_vec &cluster = m_endpoint_parent_clusters[parent_cluster_index];
for (uint32_t j = 0; j < cluster.size(); j++)
{
const uint32_t block_index = cluster[j] >> 1;
m_block_parent_endpoint_cluster[block_index] = static_cast<uint8_t>(parent_cluster_index);
}
}
for (uint32_t i = 0; i < m_total_blocks; i++)
{
BASISU_FRONTEND_VERIFY(m_block_parent_endpoint_cluster[i] != 0xFF);
}
// Ensure that all the blocks within each cluster are all in the same parent cluster, or something is very wrong.
for (uint32_t cluster_index = 0; cluster_index < m_endpoint_clusters.size(); cluster_index++)
{
const uint_vec &cluster = m_endpoint_clusters[cluster_index];
uint32_t parent_cluster_index = 0;
for (uint32_t j = 0; j < cluster.size(); j++)
{
const uint32_t block_index = cluster[j] >> 1;
if (!j)
{
parent_cluster_index = m_block_parent_endpoint_cluster[block_index];
}
else
{
BASISU_FRONTEND_VERIFY(m_block_parent_endpoint_cluster[block_index] == parent_cluster_index);
}
}
}
}
if (m_params.m_debug_stats)
debug_printf("Total endpoint clusters: %u, parent clusters: %u\n", (uint32_t)m_endpoint_clusters.size(), (uint32_t)m_endpoint_parent_clusters.size());
}
void basisu_frontend::generate_block_endpoint_clusters()
{
m_block_endpoint_clusters_indices.resize(m_total_blocks);
for (int cluster_index = 0; cluster_index < static_cast<int>(m_endpoint_clusters.size()); cluster_index++)
{
const std::vector<uint32_t>& cluster_indices = m_endpoint_clusters[cluster_index];
for (uint32_t cluster_indices_iter = 0; cluster_indices_iter < cluster_indices.size(); cluster_indices_iter++)
{
const uint32_t block_index = cluster_indices[cluster_indices_iter] >> 1;
const uint32_t subblock_index = cluster_indices[cluster_indices_iter] & 1;
m_block_endpoint_clusters_indices[block_index][subblock_index] = cluster_index;
} // cluster_indices_iter
}
for (uint32_t block_index = 0; block_index < m_total_blocks; block_index++)
{
uint32_t cluster_0 = m_block_endpoint_clusters_indices[block_index][0];
uint32_t cluster_1 = m_block_endpoint_clusters_indices[block_index][1];
BASISU_FRONTEND_VERIFY(cluster_0 == cluster_1);
}
}
void basisu_frontend::compute_endpoint_clusters_within_each_parent_cluster()
{
generate_block_endpoint_clusters();
m_endpoint_clusters_within_each_parent_cluster.resize(0);
m_endpoint_clusters_within_each_parent_cluster.resize(m_endpoint_parent_clusters.size());
for (uint32_t block_index = 0; block_index < m_total_blocks; block_index++)
{
const uint32_t cluster_index = m_block_endpoint_clusters_indices[block_index][0];
const uint32_t parent_cluster_index = m_block_parent_endpoint_cluster[block_index];
m_endpoint_clusters_within_each_parent_cluster[parent_cluster_index].push_back(cluster_index);
}
for (uint32_t i = 0; i < m_endpoint_clusters_within_each_parent_cluster.size(); i++)
{
uint_vec &cluster_indices = m_endpoint_clusters_within_each_parent_cluster[i];
BASISU_FRONTEND_VERIFY(cluster_indices.size());
vector_sort(cluster_indices);
auto last = std::unique(cluster_indices.begin(), cluster_indices.end());
cluster_indices.erase(last, cluster_indices.end());
}
}
void basisu_frontend::compute_endpoint_subblock_error_vec()
{
m_subblock_endpoint_quant_err_vec.resize(0);
const uint32_t N = 512;
for (uint32_t cluster_index_iter = 0; cluster_index_iter < m_endpoint_clusters.size(); cluster_index_iter += N)
{
const uint32_t first_index = cluster_index_iter;
const uint32_t last_index = minimum<uint32_t>((uint32_t)m_endpoint_clusters.size(), cluster_index_iter + N);
m_params.m_pJob_pool->add_job( [this, first_index, last_index] {
for (uint32_t cluster_index = first_index; cluster_index < last_index; cluster_index++)
{
const std::vector<uint32_t>& cluster_indices = m_endpoint_clusters[cluster_index];
assert(cluster_indices.size());
for (uint32_t cluster_indices_iter = 0; cluster_indices_iter < cluster_indices.size(); cluster_indices_iter++)
{
std::vector<color_rgba> cluster_pixels(8);
const uint32_t block_index = cluster_indices[cluster_indices_iter] >> 1;
const uint32_t subblock_index = cluster_indices[cluster_indices_iter] & 1;
const bool flipped = true;
const color_rgba *pSource_block_pixels = get_source_pixel_block(block_index).get_ptr();
for (uint32_t pixel_index = 0; pixel_index < 8; pixel_index++)
{
cluster_pixels[pixel_index] = pSource_block_pixels[g_etc1_pixel_indices[flipped][subblock_index][pixel_index]];
}
const endpoint_cluster_etc_params &etc_params = m_endpoint_cluster_etc_params[cluster_index];
assert(etc_params.m_valid);
color_rgba block_colors[4];
etc_block::get_block_colors5(block_colors, etc_params.m_color_unscaled[0], etc_params.m_inten_table[0], true);
uint64_t total_err = 0;
for (uint32_t i = 0; i < 8; i++)
{
const color_rgba &c = cluster_pixels[i];
uint64_t best_err = UINT64_MAX;
//uint32_t best_index = 0;
for (uint32_t s = 0; s < 4; s++)
{
uint64_t err = color_distance(m_params.m_perceptual, c, block_colors[s], false);
if (err < best_err)
{
best_err = err;
//best_index = s;
}
}
total_err += best_err;
}
subblock_endpoint_quant_err quant_err;
quant_err.m_total_err = total_err;
quant_err.m_cluster_index = cluster_index;
quant_err.m_cluster_subblock_index = cluster_indices_iter;
quant_err.m_block_index = block_index;
quant_err.m_subblock_index = subblock_index;
{
std::lock_guard<std::mutex> lock(m_lock);
m_subblock_endpoint_quant_err_vec.push_back(quant_err);
}
}
} // cluster_index
} );
} // cluster_index_iter
m_params.m_pJob_pool->wait_for_all();
vector_sort(m_subblock_endpoint_quant_err_vec);
}
void basisu_frontend::introduce_new_endpoint_clusters()
{
debug_printf("introduce_new_endpoint_clusters\n");
generate_block_endpoint_clusters();
int num_new_endpoint_clusters = m_params.m_max_endpoint_clusters - (uint32_t)m_endpoint_clusters.size();
if (num_new_endpoint_clusters <= 0)
return;
compute_endpoint_subblock_error_vec();
const uint32_t num_orig_endpoint_clusters = (uint32_t)m_endpoint_clusters.size();
std::unordered_set<uint32_t> training_vector_was_relocated;
uint_vec cluster_sizes(num_orig_endpoint_clusters);
for (uint32_t i = 0; i < num_orig_endpoint_clusters; i++)
cluster_sizes[i] = (uint32_t)m_endpoint_clusters[i].size();
std::unordered_set<uint32_t> ignore_cluster;
while (num_new_endpoint_clusters)
{
if (m_subblock_endpoint_quant_err_vec.size() == 0)
break;
subblock_endpoint_quant_err subblock_to_move(m_subblock_endpoint_quant_err_vec.back());
m_subblock_endpoint_quant_err_vec.pop_back();
if (unordered_set_contains(ignore_cluster, subblock_to_move.m_cluster_index))
continue;
uint32_t training_vector_index = subblock_to_move.m_block_index * 2 + subblock_to_move.m_subblock_index;
if (cluster_sizes[subblock_to_move.m_cluster_index] <= 2)
continue;
if (unordered_set_contains(training_vector_was_relocated, training_vector_index))
continue;
if (unordered_set_contains(training_vector_was_relocated, training_vector_index ^ 1))
continue;
#if 0
const uint32_t block_index = subblock_to_move.m_block_index;
const etc_block& blk = m_etc1_blocks_etc1s[block_index];
uint32_t ls, hs;
blk.get_selector_range(ls, hs);
if (ls != hs)
continue;
#endif
const uint32_t new_endpoint_cluster_index = (uint32_t)m_endpoint_clusters.size();
enlarge_vector(m_endpoint_clusters, 1)->push_back(training_vector_index);
enlarge_vector(m_endpoint_cluster_etc_params, 1);
assert(m_endpoint_clusters.size() == m_endpoint_cluster_etc_params.size());
training_vector_was_relocated.insert(training_vector_index);
m_endpoint_clusters.back().push_back(training_vector_index ^ 1);
training_vector_was_relocated.insert(training_vector_index ^ 1);
BASISU_FRONTEND_VERIFY(cluster_sizes[subblock_to_move.m_cluster_index] >= 2);
cluster_sizes[subblock_to_move.m_cluster_index] -= 2;
ignore_cluster.insert(subblock_to_move.m_cluster_index);
num_new_endpoint_clusters--;
}
for (uint32_t i = 0; i < num_orig_endpoint_clusters; i++)
{
uint_vec &cluster_indices = m_endpoint_clusters[i];
uint_vec new_cluster_indices;
for (uint32_t j = 0; j < cluster_indices.size(); j++)
{
uint32_t training_vector_index = cluster_indices[j];
if (!unordered_set_contains(training_vector_was_relocated, training_vector_index))
new_cluster_indices.push_back(training_vector_index);
}
if (cluster_indices.size() != new_cluster_indices.size())
{
BASISU_FRONTEND_VERIFY(new_cluster_indices.size() > 0);
cluster_indices.swap(new_cluster_indices);
}
}
generate_block_endpoint_clusters();
}
// Given each endpoint cluster, gather all the block pixels which are in that cluster and compute optimized ETC1S endpoints for them.
// TODO: Don't optimize endpoint clusters which haven't changed.
void basisu_frontend::generate_endpoint_codebook(uint32_t step)
{
debug_printf("generate_endpoint_codebook\n");
m_endpoint_cluster_etc_params.resize(m_endpoint_clusters.size());
const uint32_t N = 128;
for (uint32_t cluster_index_iter = 0; cluster_index_iter < m_endpoint_clusters.size(); cluster_index_iter += N)
{
const uint32_t first_index = cluster_index_iter;
const uint32_t last_index = minimum<uint32_t>((uint32_t)m_endpoint_clusters.size(), cluster_index_iter + N);
m_params.m_pJob_pool->add_job( [this, first_index, last_index, step ] {
for (uint32_t cluster_index = first_index; cluster_index < last_index; cluster_index++)
{
const std::vector<uint32_t>& cluster_indices = m_endpoint_clusters[cluster_index];
BASISU_FRONTEND_VERIFY(cluster_indices.size());
const uint32_t total_pixels = (uint32_t)cluster_indices.size() * 8;
std::vector<color_rgba> cluster_pixels(total_pixels);
for (uint32_t cluster_indices_iter = 0; cluster_indices_iter < cluster_indices.size(); cluster_indices_iter++)
{
const uint32_t block_index = cluster_indices[cluster_indices_iter] >> 1;
const uint32_t subblock_index = cluster_indices[cluster_indices_iter] & 1;
const bool flipped = true;
const color_rgba *pBlock_pixels = get_source_pixel_block(block_index).get_ptr();
for (uint32_t pixel_index = 0; pixel_index < 8; pixel_index++)
{
const color_rgba &c = pBlock_pixels[g_etc1_pixel_indices[flipped][subblock_index][pixel_index]];
cluster_pixels[cluster_indices_iter * 8 + pixel_index] = c;
}
}
endpoint_cluster_etc_params new_subblock_params;
{
etc1_optimizer optimizer;
etc1_solution_coordinates solutions[2];
etc1_optimizer::params cluster_optimizer_params;
cluster_optimizer_params.m_num_src_pixels = total_pixels;
cluster_optimizer_params.m_pSrc_pixels = &cluster_pixels[0];
cluster_optimizer_params.m_use_color4 = false;
cluster_optimizer_params.m_perceptual = m_params.m_perceptual;
if (m_params.m_compression_level == 0)
cluster_optimizer_params.m_quality = cETCQualityMedium;
else if (m_params.m_compression_level == BASISU_MAX_COMPRESSION_LEVEL)
cluster_optimizer_params.m_quality = cETCQualityUber;
etc1_optimizer::results cluster_optimizer_results;
std::vector<uint8_t> cluster_selectors(total_pixels);
cluster_optimizer_results.m_n = total_pixels;
cluster_optimizer_results.m_pSelectors = &cluster_selectors[0];
optimizer.init(cluster_optimizer_params, cluster_optimizer_results);
optimizer.compute();
new_subblock_params.m_color_unscaled[0] = cluster_optimizer_results.m_block_color_unscaled;
new_subblock_params.m_inten_table[0] = cluster_optimizer_results.m_block_inten_table;
new_subblock_params.m_color_error[0] = cluster_optimizer_results.m_error;
}
endpoint_cluster_etc_params &prev_etc_params = m_endpoint_cluster_etc_params[cluster_index];
bool use_new_subblock_params = false;
if ((!step) || (!prev_etc_params.m_valid))
use_new_subblock_params = true;
else
{
assert(prev_etc_params.m_valid);
uint64_t total_prev_err = 0;
{
color_rgba block_colors[4];
etc_block::get_block_colors5(block_colors, prev_etc_params.m_color_unscaled[0], prev_etc_params.m_inten_table[0], false);
uint64_t total_err = 0;
for (uint32_t i = 0; i < total_pixels; i++)
{
const color_rgba &c = cluster_pixels[i];
uint64_t best_err = UINT64_MAX;
//uint32_t best_index = 0;
for (uint32_t s = 0; s < 4; s++)
{
uint64_t err = color_distance(m_params.m_perceptual, c, block_colors[s], false);
if (err < best_err)
{
best_err = err;
//best_index = s;
}
}
total_err += best_err;
}
total_prev_err += total_err;
}
// See if we should update this cluster's endpoints (if the error has actually fallen)
if (total_prev_err > new_subblock_params.m_color_error[0])
{